• Exception Handling and its various scenarios

• Various syntaxes of exception handling

• Custom exception handling example

• Modes to open the files
• Various properties of file object
• How to write and read data from files With statement
• seek and tell commands

• seek and tell commands
• os module and its functions

• Write data in csv files
• How to handle the files and folders in Python using os modules
• pickling and unpickling

• re module in Python and its functions
• re module in Python and its functions
• Object Oriented Programming - Part 1

• Constructor in OOPs

• Self
• Instance variables
• Static variables

• Static variables
• Local variables

• Passing members from one class to another class
• Inner classes

• Garbage Collector
• Desctructor

• Inheritance
• Single Inheritance
• Multilevel Inheritance
• Hierarchical Inheritance
• Multiple Inheritance

• Composition and Aggregation
• Hybrid Inheritance

• super in OOPs

• Polymorphism in OOPs

• Method Overloading
• Constructor Overloading
• Method Overriding

• Understanding of Numpy and its various functions
• Understanding of arrays and Matrix

• Discussion on various Numpy functions

• Discussion on various Numpy functions

• Pandas - An introduction
• Understanding of Data Frames
• Joins between Data Frames
• Concat

• Slicing and playing with the csv file and understand various functions on pandas

• Understanding of various functions in Pandas

• Understanding of various functions in Pandas

• Understanding of various functions in Pandas

• Detailed understanding of dfply

• Creating various plots using Matplotlib

• Creating various plots using Seaborn

• Traditional methods of imputation using mean, median and mode KNN Imputation

• Outlier Treatment

• Standardization
• MinMax Scalar
• Robust Scaler
• MaxAbs Scalar
• Power Transformer
• Quantile Transformer
• Normalization

• Hands on of all the techniques using Python

• Create and Insert using Python

• Alter statement, Reading Data from csv and upload in Oracle

• End to end understanding of how to explore the data before applying Machine Learning

• End to end understanding of how to explore the data before applying Machine Learning

Module 3: Tableau

• Understanding Tableau and its products
• Tableau Public
• Tableau Desktop
• Tableau Reader
• Tableau Online
• Tableau Server
• Tableau Prep
• Tableau Mobile

• Understanding the Calculated Field concept
• If and Else statements
• Left Function
• Making data ready for visualization using Tableau Prep

• Understanding the concept of Live and Extract connections
• Data Source filters
• Union and its usage

• Dive deep into the concept of Joins and how can we achieve in Tableau
• Applying the data joining using Tableau Prep
• Dive deep into the concept of Cross database joins
• Applying Cross database joins using Tableau Prep
• Understanding of Data Blending
• Understanding the concept of Primary and Secondary data sources

• Dive Deep into Data Blending
• Understanding the usage of Data Joining, Cross Database Join and Data Blending
• Solving the end-to-end problem using Data Blending

• Creating the map view and understanding the idea of maps
• Creating the histogram and dynamic histogram using parameters
• Creating Donut chart
• Creating the stackbar chart
• Creating the interactive dashboard

• Difference between Tiled and Floating options
• Adding the buttons to download the dashboard as ppt, image and pdf
• Creating the story
• Understanding the difference between Dashboard and Story

• Understanding the concepts of Data dimension
• Difference between Discrete and continuous date field
• What is the relation between aggregation and Granularity?
• How to apply normal filters or Quick Filters
• Options in the Normal Filters or Quick Filters
• Understanding on Context Filters

• Create a dynamic scatter plot using the concepts of Sets and Parameters
• Understanding the concept of sets
• Understanding the concept of Static Sets
• Understanding the concept of Dynamic Sets
• How to tag parameters with sets to make it dynamic sets
• How to tag parameters with reference lines

• Understanding the concept of Combined sets
• Formatting the visuals
• Adding sets as filters

• Formatting the data as per the requirement using Tableau Prep
• Formatting the data as per the requirement using Tableau Desktop
• Advantage and Disadvantage of using Tableau Desktop as data preparation tool

• Creating the animated scatter plot using Animation concept
• How to animate the chart using page shelf
• Which data to choose as Primary data source
• Formatting the plot
• Sorting the secondary data source
• Adding show history option in the animation

• Understanding the concept of Include Function
• Creating the visual using Include function in Tableau

• Implementing the include function on the real time use case
• Creating the visual using Include function in Tableau
• Understanding the concept of Exclude and where to use it
• Implementing the exclude function on the real time use case
• Creating the visual using exclude function in Tableau

• Understanding the concept of Fixed and where to use it
• Implementing the Fixed function on the real time use case
• Creating the visual using Fixed function in Tableau

• Customer Order Frequency
• Cohort Analysis
• Daily Profit KPI
• Percentage of Total
• New Customer Acquisition
• Average of top deals by city
• Actual vs. Target
• Value on the last day of the period
• Return Purchase by cohort
• Percentage difference from average across a range
• Relative Period Filtering
• User login frequency
• Proportional Brushing
• Annual Purchase frequency by customer cohort
• Comparative sales analysis

• Preparing the data using Tableau Prep
• Understanding the datetime dimension and its purpose

• Preparing the data using Tableau Desktop
• Pivoting using Tableau Prep
• Pivoting using Tableau Desktop

• Running Sum
• Difference
• Percentage Difference
• Understanding Table Across, Table Down
• Fixing the calculation by dimension
• Understanding the difference between Table calculation and Calculated Field
• Dive deep on the functions Lookup, ZN

• Moving Average

Module 4: Statistics

• Types of Data
• Analyzing Categorical Data
• Reading Pictographs
• Reading Bar Graphs
• Reading Pie Chart
• Two way Frequency Table and Venn Diagram
• Marginal and Conditional Distribution
• Displaying Quantitive data with Graphs
• Frequency Table and Dot plots
• Creating Histogram

• Mean
• Median
• Mode

• Range
• Variance
• Standard Deviation
• Interquartile Range

• Population
• Sample
• Difference in formula for Population parameter and
• Sample statistic
• Box and Whisker Plot
• Left Skewed and Right Skewed
• Outlier detection
• Mean Absolute Deviation

• Exploring bivariate numerical data
• Slope of a line
• Intercept

• Covariance
• Covariance Matrix

• Karl Pearson Correlation Coefficient

• Spearman Rank Correlation Coefficient
• Various scenarios

• Residuals

• R-Squared and RMSE

• Understanding Normal Distribution
• Z-Score concept
• Emperical Rule
• Density Curve

• More Examples in Z-score and Z-table

• More Examples in Z-score and Z-table
• Exploring Gaussian distribution equation

• Symmetric distribution
• Skewness
• Kurtosis
• KDE

• Simple Probability
• Probability - With Counting Outcome
• Sample space and its subset
• Intersection and Union of sets
• Relative complement or Difference between sets
• Universal Set and Absolute complement
• Subset, Strict, Subset and Superset
• Set operations together
• Difference between theoretical and experimental probability

• Statistical Significance of experiment
• Probability with venn diagram
• Addition rule of probability
• Sample space for compound space
• Compound probability of independent events
• Independent events

• Dependent Probability
• Conditional Probability

• Conditional Probability - Tree Diagram
• Conditional Probability and Independence

• Permutation Formula
• Understanding of Zero factorial
• Factorial and Counting
• Combinations

• Probability using combinations
• General form

• Continuous and Discrete and its distribution
• Mean (Expected value) of a discrete random variable
• Variance and Standard deviation

• Intuition for why independence matters for variance of sum
• Analyzing distribution of sum of two normally distributed random variables
• Analyzing distribution of sum of two normally distributed random variables

• Binomial Variables
• Recognizing Binomial variables
• 10% Rule of assuming independence
• Binomial Distribution

• Binomial Probability
• Binompdf and Binomcdf functions
• Mean and variance of Bernoulli distribution
• Expected value and variance of Binomial distribution

• Geometric random variables – Introduction
• Probability of a geometric random variable
• Cumulative geometric probability

• Cumulative geometric probability
• Proof of expected value of geometric random variables

• Detailed understanding of Poisson Distribution

• Sampling Distributions
• Sampling distribution of sample proportion
• Normal conditions for sampling distributions of sample proportions
• Probability of sample proportions

• Inferring population mean from sample mean
• Central Limit Theorem
• Standard Error of the mean

• Confidence intervals and margin of error
• Interpretation of Confidence interval

• Margin of Error
• Condition for valid confidence interval for a proportion

• Introduction to T-Statistics
• Conditions for valid t intervals
• Find critical t value
• Confidence interval for a mean with paired data
• Sample size for a given margin of error for a mean
• T-statistic confidence interval
• Small sample size confidence intervals

• Simple Hypothesis Testing
• Idea Behind Hypothesis Testing
• null and alternative hypothesis
• P-values and significance tests

• Comparing P-values to different significance levels
• Estimating a P-value from a simulation
• Type 1 and Type 2 Errors
• Introduction to Power in significance tests
• Power in significance test

• Constructing hypothesis for a significance test about a proportion 
• Conditions for a z test about a proportion
• Calculating a z statistic in a test about a proportion
• Calculating a P-value given a z statistic
• Making conclusions in a test about a proportion

• Writing Hypothesis for a significance test about a mean
• Condition for a t test about a mean
• When to use z or t statistics in significance tests
• Calculating t statistic for a test about a mean
• Calculate p-value from t statistic
• Comparing P-value from t statistic to significance level
• Significance Test for Mean

• Hypothesis testing and p-values
• Small sample hypothesis test
• Large Sample proportion hypothesis testing

• Detailed understanding of Comparing Two Proportions

• Statistical Significance of experiment
• Difference of Sample mean distribution
• Confidence interval of difference of means

• Chi-Square distribution introduction 
• Pearson's Chi-Square test (Goodness of fit)
• Chi-Square statistic for Hypothesis testing
• Chi-square goodness of fit example
• Filling out frequency table for independent events

• Contingency table chi-square test 
• Chi-Squared test for Homogeneity
• Chi-Squared test for association (Independence)

• Introduction to inference about slope in linear regression
• Conditions for Inference on slope
• Confidence interval for the slope of a regression line
• Calculating t statistic for slope of regression line
• Using a P-value to make conclusions in a test about slope
• Using a confidence interval to test slope

• Anova – Calculating SST, SSW and SSB
• Hypothesis testing with F-statistic

Module 5: Machine Learning

• How “ Classification” and “Regression”works?
• Data matrixnotation.
• Classification vs Regression(examples)
• K-Nearest Neighbors Geometric intuition with a toy example.
• Failure cases of K-NN
• Distance measures: Euclidean(L2),Manhattan(L1),Minkowski, Hamming
• Cosine Distance & Cosine Similarity
• How to measure the effectiveness of K-NN?
• Test/Evaluation time and space complexity.
• k-NN Limitations.
• Decision surface for K-NN as K changes.
• Overfitting and Underfitting.
• Need for Cross validation.
• K-fold cross validation.
• Visualizing train, validation and test data sets
• How to determine overfitting and underfitting?
• Time based splitting
• k-NN for regression.
• Weighted k-NN
• Voronoi diagram.
• Binary search tree
• How to build akd-tree.
• Find nearest neighbors using kd-tree
• Limitations of kd-tree
• Extensions.
• Hashing vs LSH.
• LSH for cosine similarity
• LSH for euclidean distance.
• Probabilistic class label
• Code Sample: Decision boundary.
• Code Samples: Cross-Validation

• Introduction
• Imbalanced vs balanced data set.
• Multi-class classification.
• k-NN, given a distance or similarity matrix
• Train and test set differences.
• Impact of Outliers
• Local Outlier Factor(Simple solution: mean distance to k-NN).
• k-distance (A),N(A)
• reachability-distance(A,B)
• Local-reachability-density(A)
• Local Outlier Factor(A)
• Impact of Scale & Column standardization.
• Interpretability
• Feature importance & Forward Feature Selection
• Handling categorical and numerical features.
• Handling missing values by imputation.
• Curse of dimensionality.
• Bias-Variance tradeoff.
• Intuitive understanding of bias-variance.
• Revision Questions.
• Best and worst case of an algorithm

• Accuracy
• Confusion matrix, TPR, FPR, FNR,TNR
• Precision & recall,F1-score.
• Receiver Operating Characteristic Curve (ROC) curve and AUC.
• Log-loss.
• R-Squared/ Coefficient of determination.
• Median absolute deviation(MAD)
• Distribution of errors.

• Conditional probability.
• Independent vs Mutually exclusive events.
• Bayes Theorem with examples.
• Exercise problems on Bayes Theorem
• Naive Bayes algorithm.
• Toy example: Train and test stages.
• Naive Bayes on Text data.
• Laplace/Additive Smoothing.
• Log-probabilities for numerical stability.
• Bias and Variance tradeoff.
• Feature importance and interpretability.
• Imbalanced data
• Outliers.
• Missing values.
• Handling Numerical features (Gaussian NB)
• Multiclass classification.
• Similarity or Distance matrix.
• Large dimensionality.
• Best and worst cases.

• Geometric intuition of logistic regression
• Sigmoid function: Squashing
• Mathematical formulation of objective function.
• Weight Vector.
• L2 Regularization: Overfitting and Underfitting.
• L1 regularization and sparsity.
• Probabilistic Interpretation: Gaussian Naive Bayes
• Loss minimization interpretation
• Hyperparameter search: Grid Search and Random Search
• Column Standardization.
• Feature importance and model interpretability.
• Collinearity of features.
• Train & Run time space and time complexity.
• Real world cases.
• Non-linearly separable data & feature engineering.
• Code sample: Logistic regression, Grid Search CV, Random Search CV
• Extensions to Logistic Regression: Generalized linear models(GLM)

• Geometric intuition of Linear Regression.
• Mathematical formulation.
• Real world Cases.
• Code sample for Linear Regression

• Differentiation.
• Online differentiation tools
• Maxima and Minima
• Vector calculus: Grad
• Gradient descent: geometric intuition.
• Learning rate.
• Gradient descent for linear regression.
• SGD algorithm
• Constrained optimization &PCA
• Logistic regression formulation revisited.
• Why L1 regularization creates sparsity?

• Geometric intuition.
• Mathematical derivation.
• why we take values +1 and -1 for support vector planes
• Loss function (Hinge Loss) based interpretation.
• Dual form of SVM formulation.
• Kernel trick.
• Polynomial kernel.
• RBF-Kernel.
• Domain specific Kernels.
• Train and run time complexities.
• nu-SVM: control errors and support vectors.
• SVM Regression.
• Cases.

• Geometric Intuition of decision tree: Axis parallel hyperplanes.
• Sample Decision tree.
• Building a decision Tree: Entropy(Intuition behind entropy)
• Building a decision Tree: Information Gain
• Building a decision Tree: Gini Impurity.
• Building a decision Tree: Constructing a DT.
• Building a decision Tree: Splitting numerical features.
• Feature standardization.
• Categorical features with many possible values.
• Overfitting and Underfitting.
• Train and Run time complexity.
• Regression using Decision Trees.
• Cases
• Supervised Machine Learning - Classification and Regression - Ensemble Models
• What are ensembles?
• Bootstrapped Aggregation (Bagging)Intuition.
• Random Forest and their construction.
• Bias-Variance tradeoff.
• Train and Run-time Complexity.
• Bagging: code Sample.
• Extremely randomized trees.
• Random Forest: Cases.
• Boosting Intuition
• Residuals, Loss functions, and gradients.
• Gradient Boosting
• Regularization by Shrinkage.
• Train and Run time complexity.
• XG Boost: Boosting +Randomization
• Ada Boost: geometric intuition.
• Stacking models.
• Cascading classifiers.

• What is Clustering?
• Unsupervised learning
• Applications.
• Metrics for Clustering.
• K-Means: Geometric intuition, Centroids.
• K-Means: Mathematical formulation: Objective function
• K-Means Algorithm.
• How to initialize: K-Means++
• Failure cases/Limitations.
• K-Medoids
• Determining the right K.
• Code Samples.
• Time and Space complexity

• Agglomerative & Divisive, Dendrograms
• Agglomerative Clustering.
• Proximity methods: Advantages and Limitations.
• Time and Space Complexity.
• Limitations of Hierarchical Clustering.
• Code sample.

• Density based clustering
• MinPts and Eps:Density
• Core, Border and Noise points.
• Density edge and Density connected points.
• DBSCAN Algorithm.
• Hyper Parameters: MinPts and Eps.
• Advantages and Limitations of DBSCAN.
• Time and Space Complexity.

• Understanding of Support
• Understanding of Confidence
• Understanding of Lift
• Time and Space complexity 

• Problem formulation: Movie reviews.
• Content based vs Collaborative Filtering.
• Similarity based Algorithms.
• Matrix Factorization: PCA,SVD.
• Matrix Factorization: NMF.
• Matrix Factorization for Collaborative filtering
• Matrix Factorization for feature engineering.
• Clustering as MF.
• Hyperparameter tuning.
• Matrix Factorization for recommender systems: Netflix Prize Solution.
• Cold Start problem.
• Word Vectors as MF.
• Eigen-Faces.

• What is dimensionality reduction?
• Row vector, and Column vector.
• How to represent a dataset?
• How to represent a dataset as a Matrix.
• Data preprocessing: Feature Normalization
• Mean of a datamatrix.
• Data preprocessing: Column Standardization
• Co-variance of a Data Matrix.
• MNIST dataset (784 dimensional)
• Code to load MNIST dataset.

• Geometric intuition.
• Mathematical objective function.
• Alternative formulation of PCA: distance minimization
• Eigenvalues and eigenvectors.
• PCA for dimensionality reduction and visualization.
• Visualize MNIST dataset.
• Limitations of PCA
• PCA for dimensionality reduction (not-visualization)

• What is -SNE?
• Neighborhood of a point, Embedding.
• Geometric intuition.
• Crowding problem.
• How to apply t-SNE and interpret its output(distill.pub)
• t-SNE on MNIST.

Module 6: Deep Learning and AI (Self Paced)

","pid":"null"},{"id":324,"name":"Introduction to Python","pid":323},{"id":325,"name":"Introduction to Logistic Regression","pid":323},{"id":326,"name":"Introduction to Artificial Neural Network

\t
• History of Neural networks and Deep Learning.
• How Biological Neurons work?
• Growth of biological neural networks.
• Diagrammatic representation: Logistic Regression and Perceptron.
• Multi-Layered Perceptron (MLP).
• Notation.
• Training a single-neuron model.
• Training an MLP: Chain Rule.
• Training an MLP:Memoization.
• Backpropagation.
• Activation functions.
• Vanishing Gradient problem.
• Bias-Variance tradeoff.
\t

","pid":323},{"id":327,"name":"Deep Multi-layer perceptrons

• Deep Multi-layer perceptrons:1980s to 2010s
• Dropout layers & Regularization.
• Rectified Linear Units (ReLU).
• Weight initialization.
• Batch Normalization.
• Optimizers:Hill-descent analogy in 2D
• Optimizers:Hill descent in 3D and contours.
• SGD Recap
• Batch SGD with momentum.
• Nesterov Accelerated Gradient (NAG)
• Optimizers:AdaGrad
• Optimizers : Adadelta andRMSProp
• Adam
• Which algorithm to choose when?
• Gradient Checking and clipping
• Softmax and Cross-entropy for multi-class classification.
• How to train a Deep MLP?

","pid":323},{"id":328,"name":"Convolutional Neural Network

• Biological inspiration: Visual Cortex
• Convolution:Edge Detection on images.
• Convolution:Padding and strides
• Convolution over RGB images.
• Convolutional layer.
• Max-pooling.
• CNN Training: Optimization
• Receptive Fields and Effective Receptive Fields
• ImageNet dataset.
• Data Augmentation.
• Convolution Layers in Keras
• AlexNet
• VGGNet

","pid":323},{"id":329,"name":"Recurrent Neural Network

• Why RNNs?
• Recurrent Neural Network
• Training RNNs: Backprop
• Types of RNNs
• Need for LSTM/GRU
• LSTM
• GRUs

","pid":323},{"id":330,"name":"

Module 7: Power BI (Self Paced)

• Introduction to PowerBI and its architecture
• Import data from CSV files
• Import data from Excel files
• Import data from Web 1
• Import data from Web 2
• Import Real-time Streaming Data
• Import data from Oracle
• Import Data from Folder
• Dataflows - Introduction
• Dataflows - Create Gateway from Scratch
• Dataflows - Create Entities from CSV file
• Dataflows - Create Entities Using SQL Server
• Remove Rows
• Remove Columns
• Make first row as headers
• How to create calculate columns
• How to remove duplicates
• Unpivot columns and split columns
• Change Data type, Replace Values and Rearrange the columns
• Append Queries
• Merge Queries
• Visuals Intro
• Visuals-Bar Charts
• Visuals-Line Charts
• Visuals-Pie Chart
• Stacked bar Chart
• Clustered Column Chart
• Visuals-Area Chart and Analytics Tab Explained-0
• Visuals-Area Chart and Analytics Tab Explained-1
• Visuals-Combo Chart
• Visuals-Scatter Chart
• Visuals-Treemap Chart
• Visuals-funnel Chart
• Visuals-Card and Multi-Row Card
• Visuals-Gauge Card
• Visuals-KPIs
• Visuals-Matrix
• Visuals-Table
• Visuals-Text boxes - Shapes - Images
• Visuals-Slicers
• Visuals-Maps
• Custom Visuals - Word Cloud
• Visualization interactions
• Modeling and Relationships
• Other ways to create Relationship
• OLTP vs OLAP
• Star Schema vs Snowflake Schema
• DAX101 - Importing Data for Dax Learning
• DAX101 - Resources for Dax Learning
• DAX101 - What is Dax
• DAX101 - Dax Data Types
• DAX101 - Dax Operators and Syntax
• DAX101 - M vs Dax
• DAX101 - Create a Column
• DAX101 - Rules to Create Measures
• DAX101 - Calculated Columns vs Calculated Measures-0
• DAX101 - Calculated Columns vs Calculated Measures-1
• DAX101 - Sum()
• DAX101 - AVERAGE()-MIN()-MAX()
• DAX101 - SUMX()
• DAX101 - DIVIDE()
• DAX101 - COUNT()-COUNTROWS()
• DAX101 - CALCULATE()-0
• DAX101 - CALCULATE()-1
• DAX101 - FILTER()
• DAX101 - ALL()
• DAX101 - Time Intelligence - Create Date Table in M (important)
• DAX101 - Time Intelligence - Create Date Table in DAX
• DAX101 - Time Intelligence - SAMEPERIODLASTYEAR()
• DAX101 - Time Intelligence - TOTALYTD()
• DAX101 - Display Last Refresh Date
• DAX101 - Time Intelligence - PREVIOUSMONTH()
• DAX101 - Time Intelligence - DATEADD()
• DAX101 - Quick Measures
• PowerBI Reports
• PowerBI Workspaces
• PowerBI Datasets
• What are Dashboards
• How to create Workspace and Publish Report
• Favorite dashboards, reports, and apps in Power BI
• Subscribe to a Report or Dashboard
• Rename Workspace or Report or Dashboard
• Display Reports or Dashboards in Full screen mode
• Delete Reports or Dashboards
• Dashboard Menus
• File and View Options
• Printing Dashboard and Reports
• PATH Function
• PATHCONTAINS Function
• PATHITEM Function
• PATHITEMREVERSE Function
• PATHLENGTH Function
• RLS - Static Row Level Security
• RLS - Dynamic Row Level Security
• RLS - Organizational Hierarchy
• Sharing and Collaboration
• Sharing Dashboard
• Sharing Workspaces
• Sharing App
• Publish To Web

The objectives of the program are:

• To provide understanding of concepts in the domain of accounting & finance, financial markets & instruments and financial institutions; in order to perform analysis using firm’s financial statements and reports and data from financial markets for decision making

• To equip the students with tools and techniques useful in analyzing and managing the financial and other resources of the enterprise

Junior, Mid, and Senior Level Managers Working in finance & banking domain

Bachelor’s degree (preferable work experience of at least 2 years in Industry)

Mid-term (50%)

End term (50%)

Periodic evaluations have been built in throughout the duration of the course in the form of quizzes, assignments, projects, case studies and other objective/subjective assessments. The evaluations are designed to ensure continuous student engagement and to encourage learning. Students who successfully clear the same along with the requisite attendance criteria will be awarded a Certificate from IIM Raipur.

To meet the desired objectives of the course, the pedagogical methods that would include but not limited to are: Lectures and discussions on the online platform, problem solving, and case analysis.

Executive Development Programme in Managing Product, Brands and Branding at Indian Institute of Management Kashipur is a certification course for 5 months. The programme is designed for the working executives to help them connect with recent developments and advancements in the field, and to enable them to make brand-oriented decision at their organization with ease. The learning and insights from the course will provide them direction to make brand strategies, evaluate and develop their existing brand architecture and plan and develop a more recent and advanced architecture. The course will bring out the nuances of brand management and help participants across industries and level of management in organizations, to manage their brand in a more strategic way. Participants across domains such as B2B and B2C will find the course useful.

The  course  will  benefit  entrepreneurs  who  have  either  family  business  or  are managing start-ups. The course module will help them develop ideas of scaling their business up. The course module will make them experts in the area of branding.

The journey of commodity to product and then to brand is not only interesting but is also  worth  exploring. There is a growing demand to understand product, brand relationship especially considering the present digital revolution.

• What is the role of branding  during  this  technological and digital disruption?
• Can branding still be considered a potential strategy by organization, which will keep the customers tied to it and remember it.
• What about brand resonance?

• Working executives from both B2B and B2C domain will find the course useful.
• Especially people from hotel and hospitality, people from IT and consulting firm.
• Entrepreneur running family business or start-up, professional from banking and insurance sector.
• People working in retail sector, real estate etc.

• For Indian Participants - Graduates from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline
• For  International Participants - Graduation or equivalent degree from  any recognized University or Institution in their respective country.
• Proficiency in English, spoken & written is mandatory.
• Working Professionals with a minimum of 1-3 years of experience.

The participants will develop in-depth insight about:

• How products and brands are developed?
• Factors that impact brand building.
• Factors that hinders and compliments the process of branding.
• Technology, digital disruption and branding.
• Brand Architecture, Brand Salience, Brand Resonance etc.
• Brand Strategy and Brand Management.

There are periodic evaluations built in throughout the duration of the course. These maybe in the form of a quiz, assignment, Main business plan, case study or other objective/subjective assessment. The evaluations are designed to ensure continuous student engagement with the course and encourage practical learning. Students who successfully clear the same along with the requisite attendance criteria (minimum 75%) will be awarded a Certificate from IIM Kashipur as appropriate.

The form of delivery will be in the Campus as well as Online and would include 2 days of workshop. Towards the end of the conducted by IIM Kashipur. All the sessions would be conducted and delivered by the course faculty LIVE.

Module I: Product

Module II: Strategically Managing Brands

Executive Certificate Program in Operations Management with IIM Raipur India is a blended learning program of 5 months duration. Learn about the newest trends and tools from India’s top-notch faculty and Industry Mentors. This course lays the foundation for designing and managing business processes besides developing insights about strategic and tactical aspects of operations.

• Course Objectives
• To understand operations and supply chain management and its underlying issues.
• To impart the knowledge of ways in which operations are deployed as an effective lever for furthering competitiveness of the entire supply chain.
• To understand specific challenges within the realm of operations and supply chain management. 
• To make participants internalize specific tools and their working in making informed decisions within supply chain management.
• To appreciate the role of quality management in improvements in operations
• To deploy a six-sigma framework and methodologies for continuous improvement 
• To make participants familiar with the lean philosophy and its implementation in improving operations.

• Professionals who are looking to upgrade their career in Operations.
• Operations Manager or Leads, Project Management Professionals, Executives from Services and Manufacturing Sector.
• Those who have abilities to drive innovation and change with a view of keeping their business relevant and competitive in the future.

• Graduation or equivalent degree from any recognized University or Institute
• Working Professionals with a minimum of 2 years of experience
• Junior, Mid, and Senior Level Managers Working in the Operations area in both Services and Manufacturing.
  
• Corporate Nominated (graduation criteria maybe considered for exemption in cases where participants have some prior experience in the respective domain).
• On case-to-case basis less experience can be considered.

To meet the desired objectives of the course, the pedagogical methods that would include but not limited to are: Lectures and discussions on the online platform, problem solving, and case analysis.

The course would enable participants to evolve an understanding of the contemporary challenges in Projectized organizations, service industry while at the same time help them internalize specific nuances pertaining to service design. The course would also equip participants with several Project execution skills and analytical models for make competitive service decisions as decision-makers.

In the present context, for Indian companies to survive and grow in global marketplace, they must use Operations Management and Six Sigma principles to understand customer requirements and improve the quality of goods and services to world-class levels.

This program would revolve around the key concepts, the process of implementation and the specific challenges of Six Sigma.

The program also teaches the basic statistical tools and techniques used in Six Sigma. The program will be conducted on the various phases of DMAIC model to enable the participants to work in terms of methodology, tools & techniques.

The objectives of this course are:

• To enable participants to obtain a good understanding of the philosophy and principles of Operations management and six sigma.

• To enable participants to effectively plan for quality, control quality and eventually improve quality of the goods and services of your company.

• The Six sigma program is designed on the various phases of DMAIC model (Define, Measure, Analyze, Improve, Control) to enable the participants to work in terms of methodology, tools & techniques. Each concept will be supported by case studies/assignment and class exercises.

• The participants will be given exposure to solve problems in MS Excel & Minitab. Each session would have read material, which the participant is expected to read and come to the class.

• Professionals who are looking to upgrade their career in Operations Management, Quality, lean or Six Sigma

• Project Managers, Supply chain Managers, Quality Managers, Plant Managers or other functional managers

• Working professionals in an organization with an acumen and interest in Operations Management

• Graduation or equivalent degree from any recognized University or Institute
• Working Professionals from any domain
• Corporate Nominated (graduation criteria maybe considered for exemption in cases where participants have some prior experience in the respective domain)

There are periodic evaluations built in throughout the duration of the course. These maybe in the form of a quiz, assignment, presentation, Main business plan, case study, final exam or other objective/subjective assessment. The evaluations are designed to ensure continuous student engagement with the course and encourage practical learning. Students who successfully clear the same along with the requisite attendance criteria will be awarded a Certificate from IIM Kashipur as appropriate.

The form of delivery will be Blended (Campus, Self-space and online), with 1 day workshop and a final examination will be conducted by the Institute at the end of the course. All the sessions will be conducted through the digital platform and delivered LIVE by the eminent faculty of IIM Kashipur.

• Project Charter

• VoC/ VoS
• Kano Model
• VoS Template

• SIPOC

• Control Charts-Variable, Attribute

• Process Maps

• Test of Hypothesis
• Steps for Test of Hypothesis

• Test of Hypothesis
• Process Capability
• Pareto Diagram
• Control chart
• Process Map
  • Ensure on-line control of improved status
  • Ensure on-line control of improved status
• Document, Standardize & Integrate

Learn to contribute beyond your field of functional expertise with this Executive PG Certification Program in Management. Offering specialization into business analytics, the program has been designed carefully focusing on multiple facets like leadership skills, global perspective, professional network, general management as a whole. Accelerate your potential by infusing knowledge about ongoing trends and techniques in the industry, and prepare yourself for new challenges. With specialized training sessions by experienced faculty of IMI & industry experts, the program allows you to tailor your needs. 

The program will help you acquire more than just management skills, it allows working professionals to have a better understanding of global business, learn analytical ways to make decisions, relevant strategies for business growth and a vision to take on the challenges of the future.

COURSE OBJECTIVES

• To impart theoretical knowledge in the foundational and functional areas of business analytics ( Conceptualisation)
  
• To develop an understanding of Descriptive, Predictive, and Prescriptive analytical tools and techniques (Analysis)
• To enhance understanding of real-world business complexities through exposure to case studies and various experiential learning situations (Application)
• To inculcate skills and competencies which would contribute towards analytical leadership behavior (Leadership)

• Functional Managers in any industry/domain who are willing to learn management skills and hands-on exposure in business analytics.
  
• Executives whose cross-functional role is significantly expanding.
• Executives who will soon become business-unit, divisional, regional or leaders at the national level
• Engineering graduates for more exposure to business and management related issues.
• Professionals looking to expand their professional network and pursue professional opportunities that will arise during or after the completion of the program.
• Professionals looking to develop their leadership skills, exercise problem-solving in uncharted waters, develop new mechanisms to effectively cope with extreme pressure.

• Graduation with min. 3 years of experience.
• Experience relaxation for deserving candidates.
• 10% of seats reserved for International Candidates.

The Capstone Project gives you the opportunity to apply what you’ve learned about how to make data-driven decisions to a real business challenge. The project shall be mentored and evaluated by faculty from IMI. The project will be presented to the faculty board during 6 days of campus visit at the end of the course as a part of the requirement for the successful completion of the program.

The program consists of 300 hours of online sessions delivered by IMI faculty panel and senior professionals from the field of analytics. With 150 hours of Project Work and 150 hours on-campus sessions, this curriculum is crafted meticulously for working professionals with minimum disruption to their work-life balance. A combination of Cases, Exercises, Lectures, Project Work and Hands-on Practice using analytics tools will be used.

Term I

Term II

Term III

The Executive Post Graduate Programme in Management (Awarded as MBA Degree) is designed in such a way that it minimizes disruption of work and personal pursuit. The Programme is spread over twenty four months, which would ideally be planned and delivered in blended mode (direct-to-device classes and campus modules) in collaboration with Nulearn, a leading ed-tech company in India.

The main objective of the programme is to prepare participants for an advanced career in management by giving a solid foundation in various management topics that are essential for building capabilities to take on the new forms of competition.

The programme offers a blend of various general management theories, soft skills and analytical methods with real-world business scenario cases. It has 1000+ hours of content delivrery (including 900 hours of classroom teaching) spread across six terms of 4 months each, and an additional term in the end, which includes on-campus modules, project training & industry dissertation & rural/international immersion. The selection process is designed to ensure significant diversity in academic, business and cultural background.

During the course of this programme, interaction with peers and faculty will augment many skills, appreciation of differing perspectives, effective communication, conflict management, negotiation and mobilizing individuals towards common goals - all essential ingredients of effective management practices.

The overall goal of the programme is to broaden core leadership competencies to further enhance the professional growth of participants. The specific objectives of the programme are:

• To develop an ability to integrate decisions and solutions across disciplines in complex decision-making environments.
• To appreciate the influence of macro and micro business environmental factors.
• To incorporate a clear framework for ethical and value-based decision-making supported by unyielding personal integrity.
• To have a professional presence and the ability to articulate a vision needed to motivate others and lead diverse teams of people.
• To develop values and proactive attitudes for societal well-being.

• For Indian Candidates Rs. 25,000 caution deposit is refundable
• For International Candidates USD 400 caution deposit is refundable
• Minimum 75% Attendance Required.
• Application Fee of Rs. 1500/- (Phase-I) to be paid at the time of registration.

• Junior, mid-level and senior executives aspiring to assume a leadership role in their respective functions/organizations.
• Candidates looking to graduate from a rather technical role to management/leadership role.
• Candidates wishing to start their entrepreneurial ventures.
• Self-employed professionals such as Doctors, Architects, Consultants looking to augment their professional endeavors.
• Candidates looking to run their family businesses successfully seeking contemporary management inputs.
• Participants looking for managerial role in industry.

Programme Pedagogy

This programme would include an eclectic mix of case - based methods of teaching, simulations, problem solving exercises, assignments, roleplay and in-class discussions among the participants.

Since classes are delivered in a synchronized mode, recording shall not be available to the participants. Only in case of medical emergencies or work related assignments, approval shall be given on case to case basis to provide the session recordings.

• Minimum of two years of managerial/ entrepreneurial/ professional experience as on 30th November 2022.
• Minimum Bachelor's level or equivalent with 50% overall at degree level.
• Admission would be offered as per the academic attainments, quality of work experience, and performance in personal interview.

* For more information, kindly view brochure

Note: *All these dates are subject to change if required. Only those candidates who have been shortlisted will be intimated by email, with all relevant details.

• 15 Minutes break would be in between the classes
  
• 1 Class = 1.5 Hours
• Minimum 75% attendance is required.
• In case of any medical or family emergency, urgent work assignments, document validation needs to be done.
• For every 5% shortage in attendance, one grade loss will occur.
• For Term V and VI, evening hours of weekdays and morning-evening hours during Saturday and Sunday in addition to present timing of Wednesday -evening and Saturday and Sunday evenings. This is based on electives, number of students and faculty availability.
  

Institute has the final rights to decide the timings.

Financial Data Analytics is specially designed for working professionals from the domains of Financial Modelling and Predictive Modelling. This course is full of hands-on exercises to get an in-depth understanding of advanced techniques that can help the participant to solve complex financial problems in an easy and structured way.

The modules related to Financial Modelling (FM) exposes the participants to the financial statement analysis and their interlinking, Equity and bond analysis, Valuation of equity and business (firm), basic portfolio analysis, project finance modelling, risk-return modelling, capital structure analysis, dividend policy and derivatives analytics.

The module on Predictive Modelling (PM) will cover the advanced techniques, used in the finance and banking industry, including linear regression, logistic regression and other models. The course will mainly make use of MS Excel.

• Working Professionals
• Finance Professionals
• Graduates looking for a career in finance and banking
• Banking Professionals
• Business and Data analyst

• For Indian Participants – Graduates from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline with Mathematics/Statistics up to 10+2 level.
• For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country.
• Proficiency in English, spoken & written is mandatory.
• On case-to-case basis less experience can be considered.

There are periodic evaluations built in throughout the duration of the course. These maybe in the form of a quiz, assignment, Main business plan, case study or other objective/subjective assessment. The evaluations are designed to ensure continuous student engagement with the course and encourage practical learning. Students who successfully clear the same along with the requisite attendance criteria will be awarded a Certificate from IIM Kashipur as appropriate.

The primary method of instruction will be through LIVE virtual lectures that will be beamed online via internet to desktops/laptops of students or classrooms. The lectures will be delivered by eminent faculty from IIM Kashipur. All enrolled students will also be provided access to the Cloud Campus through which they may access other learning aids, reference materials and assessments, case studies, projects and assignments as appropriate. Throughout the duration of the course, students will have the flexibility to approach the Professors, real time during the class or offline via the Cloud Campus to raise questions and clear their doubts.

The human resources function in today’s organizations has moved ahead from a transaction oriented cost center to a value-added business partnership approach. Analytics has played a critical role in this journey of HR transformation. This program will specifically focus on the applied methods and techniques with an output orientation for improving the human resource functions in large scale organizations. The frameworks, models, and hands-on analytical approaches will equip the participants with developing the SMART (specific, measurable, attainable, reliable, and time bound) targets and identifying business contributions of the HR function in their respective organizations.

Analytics is always an important topic and trend in every part of business and HR is also not far behind.

OBJECTIVES:

• To be able to take strategic decision using predictive analytics in HR
• To improve organizational performance through high quality talent related decisions
• To expose HR fraternity to critical HR issues associated with business
• Discuss various real world scenarios where analytics has been utilized to solve complex HR problems
• To discuss the important key issues in building effective HR analytics solutions

• This program will be useful for managers in multinationals, Indian business firms, public sector enterprises, start-up and entrepreneurial ventures, service and individual consultants who are directly or indirectly involved with managing human resource functions
• Candidates from Recruitment background who wish to move into generalist profile
• HR Executives, Managers, Heads who wish to advance their HR analytical skills and move into more strategical roles
• Fresh HR Graduates who wish to learn advanced HR systems, processes and analytics
• HR Business partners

• Graduation or equivalent degree from any recognized University or Institute
• Working Professionals
• Corporate Nominated (graduation criteria maybe considered for exemption in cases where participants have some prior experience in HR domain)

It is compulsory to attend all the sessions with Webcam/camera ON Mode.

The certificate will not be issue if (i) attendance fall below the 70%, & (ii) If Webcam/Camera is not found On during the entire session.

Periodic evaluations have been built in throughout the duration of the course in the form of quizzes, assignments, projects, case studies and other objective/subjective assessments. The evaluations are designed to ensure continuous student engagement and to encourage learning. Students who successfully clear the same along with the requisite attendance criteria will be awarded a Certificate from IIM Rohtak.

The form of delivery would be Blended (Campus, Self-pace and Online), two Days workshop shall be conducted at the end of the course for project submission.

Rest, all sessions will be through digital platform and shall be delivered LIVE by eminent faculty of IIM Rohtak. Students will also be provided access to the Self Service learning through which they may access Webinars, past projects, assessments, notes, Alumni testimonials etc. Throughout the duration of the course, students will have the flexibility to approach to the Professors, during the class or after the class to clear their doubts.

15Hrs. Tableau Masterclass by Nulearn

Executive Certificate Program in Leadership and Change Management by IIM Raipur will challenge applicants to think inversely, to contemplate the future operating environment and what it offers through fresh perspectives.

• Learn new Leadership and Management techniques. Get the best performance from yourself and others.

• Properly plan, priorities, and delegate tasks: Effective time management skills.

• Handle difficult people and manage conflict situations, and Improve your motivation, self-confidence and self-control.

• Create and sustain a Positive Work Atmosphere for the rest of the team.

• Improve organizational performance through high-quality talent related decisions.

This program has been developed for executives, managers and leaders who are interested in improving their leadership abilities to drive innovation and change with a view of keeping their business relevant and competitive in the future.

• Functional Manager

• CIO, COO, CTO, CHRO and CMO

• VPs of Marketing, New Product Development, R&D, HR and New Business Development

• Other executives with leadership responsibilities

• Graduation or equivalent degree from any recognized University or Institute.
• Corporate Nominated (graduation criteria may be considered for exemption in cases where participants have some prior experience in similar domain)
• Working Professionals with a minimum of 2 years of experience.
• On case-to-case basis less experience can be considered.

Periodic evaluations have been built in throughout the duration of the course in the form of quizzes, assignments, projects, case studies and other objective/subjective assessments. The evaluations are designed to ensure continuous student engagement and to encourage learning. Students who successfully clear the same along with the requisite attendance criteria will be awarded a Certificate from IIM Raipur.

The form of delivery will be Blended (Campus, Self paced and Online), with 2 days workshop at the end of the course for project submission. All other sessions will be through digital platform & delivered LIVE by the eminent faculty of IIM-Raipur. Students will have access to Self Service Learning through which they may access webinars, past projects, assessments, notes, alumni testimonials etc.

Executive Certificate Program in Marketing Analytics with IIM Rohtak India intends to equip the participants with the advanced analytical tools and techniques enabling them to handle the complex marketing problems effectively and confidently. Major Learning objectives include:

• Appreciating the significance of advanced marketing analytical methods for a business enterprise.
• Developing the awareness of various marketing analytics tools, their advantages and limitations.

Developing the cognitive ability to draw logical implications from the analysis and applying them in business decisions

• Professionals who are looking to upgrade their career in Marketing Analytics.
• Entrepreneurs, CMO's and Marketing Leads, Functional Managers, Sales & Marketing Professionals.
• Working professionals in an organization with an acumen and interest in Marketing Analytics.

• Graduation or equivalent degree from any recognized University or Institute
• Working Professionals with a minimum of 3 years of experience
• Corporate Nominated (graduation criteria maybe considered for exemption in cases where participants have some prior experience in the Marketing domain).
• On case-to-case basis less experience can be considered.

Periodic evaluations have been built in throughout the duration of the course in the form of quiz, assessment, project case studies and other objective/subjective assessments. The evaluations are designed to ensure continuous student engagement and to encourage learning. Students who successfully clear the same along with the requisite attendance criteria will be awarded a certificate from IIM Rohtak.

The form of delivery will be Blended (Campus, Self space and online), with 2 days workshop at the end of the course for project submission. All other sessions will be conducted through digital platform and delivered LIVE by the eminent faculty of IIM Rohtak.

Data is the new fuel of the business. In the current business scenario, information technology has changed the data collection, analysis and interpretation methods. Now, the organization has access to several qualitative and quantitative data about customers and the market. Hence, marketers are keen to know how to analyse the data for providing better services to the consumers. They want to formulate marketing strategies based on historical data. This course is designed to train marketing students in the use of market intelligence, and analytic techniques and research practices, for taking day-to-day marketing decisions, and developing and executing marketing strategies. Students will also learn to effectively use market intelligence and analytics in the real-world context where corporations need to manage business portfolios, compete with other companies and build relationships with trade partners. Through this experiential learning program, students acquire a critical analysis and decision-making abilities to prepare them to tackle the marketing and business issues they are likely to confront in a career in marketing.

PROGRAMME OBJECTIVES:

• Understanding qualitative and quantitative market data 
• Knowing data visualization technique 
• Knowledge of consumers' demographic and behaviour 
• Data analysis for making marketing decision 
• How to optimize marketing mix decision 
• Understanding of marketing modelling 
• How to use the data for formulating marketing strategies

• Professionals who are looking to upgrade their career in Marketing Analytics.
• Entrepreneurs, CMO's and Marketing Leads, Functional Managers, Sales & Marketing Professionals.
• Working professionals in an organization with an acumen and interest in Marketing Analytics.

• For Indian Participants – Graduates from a recognized University (UGC/AICTE/DEC/AIU/ State Government) in any discipline.
• For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country.
• One-year corporate experience is preferable.

• Course will be taught through online platforms.
• Instructor's notes, data and scripts will be shared via Nulearn Platform.
• Participants will be evaluated continuously through continuous assignments.
• There will be final examination with multiple choice questions.
• Course material is solely meant for recipient's and should not be distributed/shared elsewhere.

15Hrs. Tableau Masterclass by Nulearn

Executive Certificate Program in Operations Management with IIM Kashipur India is a blended learning program of 3.5 months duration. Learn about the newest trends and tools from India’s top-notch faculty and Industry Mentors. This course lays the foundation for designing and managing business processes besides developing insights about strategic and tactical aspects of operations. 

This course provides participants with concepts, techniques and tools related to

• Design core operational capabilities
• Analyze the processes and systems
• Improve performance of organizations by applying them to a broad range of application domains
• Contributing to the effective performance of firms

• Professionals who are looking to upgrade their career in Operations.
• Operations Manager or Leads, Project Management Professionals, Executives from Services and Manufacturing Sector.
• Those who have abilities to drive innovation and change with a view of keeping their business relevant and competitive in the future.

• Graduation or equivalent degree from any recognized University or Institute
• Working Professionals with a minimum of 3 years of experience
• Corporate Nominated (graduation criteria maybe considered for exemption in cases where participants have some prior experience in the respective domain).
• On case-to-case basis less experience can be considered.

The form of delivery will be Blended (Campus, Self space and online), with 2 days workshop and a final examination should be conducted by the Institute at the end of the course. All the sessions will be conducted through the digital platform and delivered LIVE by the eminent faculty of IIM Kashipur.

Today, it is widely recognized that there is a positive correlation between project employee training and certification in project management on the one hand, and project performance on the other. This positive correlation has been reinforced by paradigm shifts in globalization, advances in technology, the emergence of large and complex projects, focus on integration, innovative practices and networking. In today's dynamic business environment, it is imperative that organizations manage their projects efficiently and effectively.

Though the responses of India's corporate sector and management education Institutions are not as quick and comprehensive as expected, the current decade is likely a decade of "management by projects" in India.

In response to these challenges, SPJIMR offers a restructured, more relevant and value-added "Post Graduate in Advanced Project Management" (PG-APM) to managers extensively experienced in some specific project management activities and wanting to acquire a well-rounded holistic perspective on project management.

The programme primarily aims to help participants in understanding the globally recognized Framework for Project Management. Take up Accountability, Strategizing, Visualization, Planning, Scheduling, Monitoring and grow to higher level of decision making.

• Professionals who are looking to upgrade their career into Project Management.
• People involved in managing large or small teams on multidimensional projects.
• Managers and team members collaborating with global teams.
• Working professionals in any department or organization with an acumen and interest in Project Management.
• Professionals who wish to complement and upgrade their career in Project Management.

• Graduation or equivalent degree from any recognized University or Institute
• Minimum 3 years of Working Experience
• On case-to-case basis less experience can be considered.

*If the participant is NOT a graduate but has a minimum of 15 years of project management experience, will be awarded only "Advanced Project Management" certification.

• It is an advanced programme from SPJIMR, one of the premier management institutions in the country
• The programme is very rich in state-of-the-art contents and study material, innovative pedagogy (cases, exercise simulations) and rigorous evaluation
• It is practice-oriented and strengthens not only knowledge but also the skills and attitudes
• The programme is enriched by strong industry interaction, project visits and direct exposure to practical problems experienced in project implementation

The program consists of 66 hours of online and offline sessions delivered by SPJIMR faculty panel and senior professionals from the field of Management. This ensures that the program culminates academic input infused with SPJIMR excellence and Industry’s Business relevance, thereby providing the participants with a remarkable learning experience.

Module 1

Module 2

Module 3

Module 4

The intersection of technology and innovation in the current business environment has created unique opportunities and challenges for managers. Entrepreneurial thinking is required to drive innovation in all functional areas of management. The one-year general management course provides a holistic perspective to working professionals to upskill themselves and to prepare for the ever-changing business environment. This certification would enhance the decision-making and leadership skills of the participants.

Along with developing core general management principles, this course will:

• Boost entrepreneurial skills
• Develop analytical skills
• Enhance risk assessment and management capabilities
• Develop skills to undertake digital transformation

The interactive teaching methodology would enable the development of competencies and capabilities that would fast track personal and professional growth.

• People and/or Functional Managers poised for career growth
• Business Heads and Leaders seeking to gain structured knowledge of business management
• Entrepreneurs and business owners who desire to gain practical skills across different management areas

• For Indian Participants – Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
• For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country.
• Minimum of 2 years of work experience.

1. Participants who successfully complete the academic requirements and satisfy the requisite attendance criteria, will be awarded a certificate of completion. 
2. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a participation certificate. 
3. Any participant who is neither able to clear the evaluation criteria nor satisfies the requisite attendance criteria, will not receive any certificate.

Evaluation methodology is the discretion of the faculty. The methodology includes online exams, case analysis, class contribution and any other component as decided by the respective course faculties. A minimum of 75% attendance to the Live Sessions is a prerequisite for the successful completion of this course. The course may require participants to work on individual/group assignments and/or projects. The main objective of such assignments/projects will be to help the participants apply their conceptual learning to actual organizational decision-making scenarios. The participants will have to secure the minimum pass marks in the respective evaluation components.

The delivery would comprise a judicious mix of live virtual lectures, discussions, case studies and experience sharing through peer discussions. The course design is oriented to facilitate learning through association of the various management concepts and its application in the business world. Across different modules, participants may be encouraged to apply or relate their in-class learning to live situations at work, peer learning therefore would be a key pillar of the process. Take-home projects may be assigned in certain modules.

As a senior level executive or an entrepreneur, you must have proven yourself at different stages of business accomplishments. But have you ever questioned yourself, what’s next? Post Graduate Executive Certification program in General Management is an exclusive opportunity for senior executives or entrepreneurs to accelerate their growth by infusing new concepts and to prepare themselves for the turbulent times. With the help of our expert faculty panel, the program allows you to enhance your knowledge and develop leadership skills.

At the completion of this course, you will gain more than just managerial skills; you will acquire a better understanding of global digital economy, relevant strategies to cope with Industry 4.0 challenges, and help you enhance analytical skills to boost your organizational growth.

• Senior Executives and/or entrepreneurs who are willing to elevate their analytical skills in management.
• Professionals from diverse backgrounds with business acumen & interest in management.
  
• Business Leaders seeking for analytical knowledge in management.
• Functional Managers who are seeking for career growth in managerial areas.
  

• For Indian Participants – Graduates (10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
• For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country.
• Minimum of 2 years of work experience.

Evaluation methodology is the discretion of the faculty. The methodology includes online exams, case analysis, class contribution and any other component as decided by the respective course faculties. A minimum of 75% attendance to the Live Sessions is a prerequisite for the successful completion of this course. The course may require participants to work on individual/group assignments and/or projects. The main objective of such assignments/projects will be to help the participants apply their conceptual learning to actual organizational decision making scenarios. The participants will have to secure the minimum pass marks in the respective evaluation components.

Participants who successfully complete the same and satisfy the requisite attendance criteria, will be awarded a certificate of completion. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a Participation certificate.

The delivery would comprise a judicious mix of live virtual lectures, discussions, case studies and experience sharing through peer discussions. The course design is oriented to facilitate learning through association of the various management concepts and its application in the business world. Across different modules, participants may be encouraged to apply or relate their in-class learning to live situations at work, peer learning therefore would be a key pillar of the process. Take-home projects may be assigned in certain modules.

All enrolled students will also be provided access to our LMS through which students may access course material, reference books, assessments, case studies, projects and assignments as appropriate.

Indian Institute of Management Rohtak is the first amongst all IIMs to have PG Diploma Programme in Sports Management. The institute invites online applications for admission into the second batch of a two-year specialized program in “Sports Management” for experienced professionals, sports enthusiasts, and sports administrators. This program is for industrious participants interested in working in the sports, entertainment, and related industries. Graduates of the program will be equipped to understand the legal, regulatory, operational, financial, and branding concepts in the sports industry, nationally and globally. That understanding enables graduates to solve the problems arising in the industry and carve a niche for themselves in this growing sector in India.

The sports management is highly professionalized in developed nations. The global sports market is estimated at USD 600-700 billion. The United States, Australia, Europe, and even China, all have well established sporting leagues which are managed by professional managers. The domain of sports management encompasses various functions such as sports administration and planning, event management, sports negotiations and compliance, sports communication, management of elite athletes, sports academies, facility management, and sports marketing management. All of the aforementioned functions require professional management.

The size of the Indian sports market is 1899 million USD. The advent of the Indian Premier League (IPL) in 2009 revolutionized the sporting environment in India. The resounding success of the IPL opened the doors for many professional leagues such as Indian Sports League (ISL), Pro Kabaddi League (PKL), Indian Hockey League (IHL), which in turn have started to inculcate a year-round professional sporting calendar in India. Hence, the market has been growing at the compound annual growth rate of 5%. All of these macro-environmental forces have led to the need of trained professional managers, which this program wishes to address.

Objectives of the Program

This program blends top faculty with unmatched curriculum to enable participants to embark upon exciting career opportunities in the field of Sports Management in India. It aims to:

• Offer a course that is needed by the Sport enthusiast participant wishing to carve out a career in the sports industry.

• Offer a course at par with the best in the world with a focus on being ‘job ready’ upon completion of the course.

• Offer an innovative, interdisciplinary curriculum that blends classic sport-focused education with professional development, networking, and skills in areas such as sports finance, sports law, sports marketing and merchandising and special events.

• Course Curriculum designed to shape independent and creative thinkers prepared to thrive in global business environments.

Programme Design & Duration

The programme duration is of two years. The mode of delivery is through blended learning- offline and online. This will include a total of 560 interactive sessions with a mix of Offline Sessions, Online Sessions, Live Projects, and Industrial Visits. Total course duration will be of 900 Hours.

There will be six mandatory in-campus modules. The Offline Sessions will be held during the campus visits, and Online Sessions will be scheduled thrice a week (Friday, Saturday and Sunday (tentative))

Program Delivery

We have a state of the art Online Synchronous Learning Technology platform using one of the best technology (Direct to Desktop/Direct to Device) where students can attend their online sessions from anywhere with the help of Laptop or Desktop with internet connectivity of 2Mbps and enabled with webcam, microphone.

Important Dates

Selection Procedure

All applicants will have to undertake Sports Aptitude Assessment Test (Online) and Online Personal Interviews.

How to Apply

All those who are interested for the program and possesses requisite qualification need to register online on the website www.iimrohtak.ac.in along with a non-refundable application fees of Rs. 1000/-. All applicants are requested to apply online on or before July 20, 2020.

Payment of the application fees should be done through Payment Gateway.

Sportspersons, ex-players, current practitioners, and working executives of any function who plan to develop their future career in sports management would find the program quite stimulating and challenging. Preference is given to any graduate, with work experience, preferably in sports management.

Candidate with Bachelor's Degree in any discipline with a minimum of 50% marks or equivalent overall grade point average will be eligible to apply. Work Experience in the relevant field will be an added advantage.

On successful completion of the academic requirements of the two-year program, the students will be awarded ‘Executive Post Graduate Diploma in Sports Management’. IIM Rohtak alumni status will be awarded to all the students.

Each course in the program is taught with the help of case studies, live corporate examples, and general discussions. Statistical software and online database resources is used wherever necessary. In order to provide greater industry insights, senior executives and eminent sports personalities are invited to share their experiences.The Programme engages faculty from IIM Rohtak, other IIMs, and several distinguished professors from International Universities.

Scholarship is available to the selected participants who had represented India at Asian / Commonwealth / Olympic events.

As the contemporary business landscape becomes increasingly complex and unpredictable, organizations need managers with interdisciplinary perspective instead of mere functional expertise. This requirement is further fueled by the COVID-19 pandemic and digital disruption all around the globe. IIMV certificate program in general management fills this gap and offers knowledge of cross-functional business domains such as Marketing, Human Resource Management, Operations, Entrepreneurship, Finance, Strategy, Information Technology Systems, and Quantitative Techniques. The EPGPGM Programme shapes you with a pertinent outlook and expert knowledge that will enable you to work across different management responsibilities and cultures effectively. It will foster your ability to guide and follow in this ever-changing, highly competitive, dynamic business environment.

• Understand the functional dimension of organization
• Develop the skills to lead across global organizations
• Understand individual/group decisions making process under uncertainty
• Gain insights into the relationship between managerial decision making and financial performance of companies
• Learn the implication of digital business models and data analytics on business environment

• Working professionals and/or managers from different operational areas aiming for career growth

• Head of businesses, senior managers and leaders willing to gain well-designed knowledge that will enhance their understanding of Management

• Businessman or Entrepreneurs who aspire to learn practical skillsets spread across the different functional areas of management

• For Indian Participants – Graduates from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline
• For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country
• Working professionals with a minimum of one year of experience
• On case-to-case basis, less experience can be considered

Evaluation methodology is the discretion of the faculty. The methodology includes online exams, case analysis, project work, class contribution and any other component as decided by the respective course faculties. A minimum of 70% attendance in the Live Sessions is a prerequisite for the successful completion of this course. The participants will have to secure the minimum pass marks in the respective evaluation components, project work and total attendance to be eligible for the completion certificate.

• Course will be taught through online platforms
• Instructor's notes, data and scripts will be shared via NuLearn Platform
• Participants will be evaluated continuously through continuous assignments
• There will be final examination with multiple choice questions for each module
• Course material is solely meant for recipient's and should not be distributed/shared elsewhere

Executive Certificate Program in Project Management with IIM Rohtak is a blended learning program of 5 months duration. Learn about the newest trends and tools in project management from India’s top-notch faculty panel and industry mentors.

This course has been designed with the objective to familiarize participants with various phases of the project development cycle. The formulation, design, implementation, evaluation & close-out phases of the project are covered in detail.

The content will provide you with the proven, practical body of project management knowledge and skills that you need to demonstrate project management mastery on the job. 

In addition to the above, Program looks at various facets of designing and managing simple to complex projects and illustrates how good project management practices can result in complex projects. The skills and knowledge you gain in this course will help you avoid making costly mistakes and increase your competitive edge in the project management profession.

The program also looks at various issues including resource leveling, managing the uncertainty in projects and aspects of project budgeting and monitoring. The hands-on training in project software built into the curriculum of this program equips you with the necessary skills to manage complex projects with the help of applied project management software.

• Graduation or equivalent degree from any recognized University or Institute.
• Corporate Nominated (graduation criteria may be considered for exemption in cases where participants have some prior experience in similar domain).
• Working Professionals with a minimum of 2 years of experience.
• On case-to-case basis less experience can be considered.

Periodic evaluations have been built in throughout the duration of the course in the form of quizzes, assignments, projects, case studies and other objective/subjective assessments. The evaluations are designed to ensure continuous student engagement and to encourage learning. Students who successfully clear the same along with the requisite attendance criteria will be awarded a Certificate from IIM Rohtak.

The form of delivery will be Blended (Campus, Self paced and Online), with 2 days workshop at the end of the course for project submission. All other sessions will be through digital platform & delivered LIVE by the eminent faculty of IIM-Rohtak. Students will have access to Self Service Learning through which they may access webinars, past projects, assessments, notes, alumni testimonials etc.

70% attendance mandatory to receive the certification. The certificate shall not be issued in case of attendance less than 70%.

15Hrs. Tableau Masterclass by Nulearn

Executive Certificate Program in Advanced Supply Chain Management by IIM Rohtak is designed to expose students to the challenges involved in managing supply chains and enable them to understand the complexity of inter-firm and intra-firm coordination.

• 57% of companies believe that supply chain management gives them a competitive edge that enables them to further develop their business. (GEODIS, 2019).
• Regardless of the pandemic, the global supply chain management market is set to grow at a CAGR of 11.2% from 2020 to 2027. The market is poised to reach $37.41 billion in 2020. (Businesswire, 2020).
• Employment of Supply Chain Management Professionals expected to grow by 30% from 2020 to 2030, much faster than the average for all professions (Bureau of Labor Statistics).
• Supply Chain is the Pandemic's Must Have Degree - According to Bloomberg, Supply Chain Management is where firms are putting their focus, and professionals are recognizing the opportunity.

• Professionals who are looking to upgrade their career in Supply Chain Management.
• Entrepreneurs/Managers & Leaders, Coordinators and Team Members.
• Working professionals in an organization with an acumen and interest in Supply Chain Management.

• Graduation or equivalent degree from any recognized University or Institute
• Working Professionals with a minimum of 2 years of experience
• Corporate Nominated (graduation criteria maybe considered for exemption in cases where participants have some prior experience in the relevant domain.
• On case-to-case basis less experience can be considered.

Periodic evaluations have been built in throughout the duration of the course in the form of quizzes, assignments, projects, case studies and other objective/subjective assessments. The evaluations are designed to ensure continuous student engagement and to encourage learning. Students who successfully clear the same along with the requisite attendance criteria will be awarded a Certificate from IIM Rohtak.

The form of delivery will be Blended (Campus, Self paced and Online), with 2 days workshop at the end of the course for project submission. All other sessions will be through digital platform & delivered LIVE by the eminent faculty of IIM-Rohtak. Students will have access to Self Service Learning through which they may access webinars, past projects, assessments, notes, alumni testimonials etc.

70% attendance mandatory to receive the certificate. The certificate shall not be issued in case of attendance less than 70%.

15Hrs. Tableau Masterclass by Nulearn

Globalization of economies has increased competitive pressure and has heightened customer expectations. Emerging manufacturing and supply chain technologies have a profound effect on the way organizations work and conduct their businesses. Organizations are focusing on supply chain and logistics process integration to bring efficiency, cost reduction, product visibility, and increase in productivity to add value to their services to customers and to gain competitive advantage. In this age of digital transformation-based competition, where manufacturing excellence and product innovations are no longer the sources of long-term competitive advantage, but the transformation of supply chain and logistics processes with adopting digital technologies. Today most global and national companies compete based on their logistics and supply chain digital innovation and adopting of fourth generation technologies. Since cost of distribution and logistics is a significant component of the total cost of operations, managers must understand the issues involved in logistics and supply chain management.

Supply chain integration is possible through disciplining of logistics management, which has advanced from warehousing and transportation to the boardrooms of successful companies across the world. Capabilities in Logistics supplement the supply chain operations. Efficiency and effectiveness of inventory movement across the supply chain depends on the capability of logistics management. Logistics has an important and a key role to play in customer service strategy of an organization. With the emergence of e-commerce, logistics operations have become more challenging than ever before because the competition is just a click away. Under these circumstances, supply chain and logistics mangers should understand the role of digital competencies and capabilities of their organizations to increase the sustainability in competitive world. Therefore, this course is specifically designed for experienced supply chain and logistics managers to enable digitalization of supply chain and logistics processes from a managerial perspective and equip them with ability to take decisions when faced with different situations in the corporate world.

Course Objectives:

• To develop an understanding of the various supply chain and logistics processes

• To develop and analyze the role of digital transformation of the supply chain and logistics processes.

• To analyze the effectiveness of supply chain and logistics processes in digital age

• To understand the roadmap for developing sustainable and industry 4.0 perspective of supply chain and logistics management

• Professionals who are looking to upgrade their career in Supply Chain.
• Entrepreneurs/Managers & Leaders, Coordinators and Team Members.
• Working professionals in an organization with an acumen and interest in Supply Chain & Logistics Management.

• For Indian Participants – Graduates or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline
• or International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country
• Working Professionals with a minimum of 2 years of experience (graduates) and 4 years of work experience (diploma holders)
• On case-to-case basis less experience can be considered

• Course will be taught through online platforms
• Instructor’s notes, data and scripts will be shared via NuLearn Platform
• Participants will be evaluated continuously through continuous assignments
• There will be final examination with multiple choice questions
• Course material is solely meant for recipient’s and should not be distributed/shared elsewhere

Evaluation scheme:

Today’s business landscape is complex and in a state of constant flux, the field of Human Resources is dynamic & processes have evolved from task, to skill and now to competency based processes.

The sheer speed of change has rendered the traditional avenues of academic education insufficient to meet the growing needs of the industry, thus IIM Raipur has come up with an advance certification for HR professionals and aspirants. Pedagogy is beyond mere conceptual sessions; the learning is rigorous with two way interactive sessions focusing majorly on case studies, project work, simulations, rendezvous with industry mentors and campus visits.

Managers in multinationals, Indian business firms, public sector enterprises, start-ups and entrepreneurial ventures, service and individual consultants who are directly or indirectly involved with managing human resource functions.

• Candidates from Recruitment background who wish to move into a generalist profile.
• HR executives, Managers, Heads of companies who wish to advance their HR analytical skills and move into more strategic roles.
• Fresh HR Graduates who wish to learn strategic HR systems, processes and analytics.
• HR Business partners.

• Graduation or equivalent degree/Diploma from any recognized University or Institute with at least 50% marks.
• Working Professionals with a minimum of 3 years of experience is mandatory.
• Corporate Nominations.

The form of delivery will be Blended (Campus, Self pace and Online),with Project work, simulations, sessions from Industry mentors. All other sessions will be through digital platform & delivered LIVE by the eminent faculty of IIM-Raipur. Professionals will have access to Self Service Learning through which they may access Webinars, study material, case studies and gamification for social collaboration.

Strategic HRM

Talent Strategy

Rewards & Recognition

Learning and Development

People Analytics

Digital Transformation: The Organization 4.0

Executive Development Programme in Strategic Human Resource Management is designed specifically for working professionals to help them develop broader understanding of strategic aspect of HR Management. The curriculum will cover importance of Strategic HRM models, legal framework in India related to people management. The course will also help professionals with:

• Aligning HR issues with business
• Understanding Strategic HRM models
• Understanding Strategic Compensation
• Building engagement through empowerment, employee involvement, diversity management
• Nurturing organizational culture with employee-first values
• Introduce the participants to HR Analytics

Managers in multinationals, Indian business firms, public sector enterprises, start-ups and entrepreneurial ventures, service and individual consultants who are directly or indirectly involved with managing human resource functions.

• Candidates from a Recruitment background who wish to move into a generalist profile.
• HR executives, Managers, and Heads of companies who wish to advance their HR analytical skills and move into more strategic roles.
• Fresh HR Graduates who wish to learn strategic HR systems, processes and analytics.
• HR Business partners.

• For Indian Participants – Graduates from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline.
• For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country.
• Proficiency in English, spoken & written is mandatory.

The primary method of instruction will be through LIVE virtual lectures that will be beamed online via the internet to desktops/laptops of students or classrooms. The lectures will be delivered by eminent faculty from IIM Kashipur. All enrolled students will also be provided access to the Cloud Campus through which they may access other learning aids, reference materials and assessments, case studies, projects and assignments as appropriate. Throughout the duration of the course, students will have the flexibility to approach the Professors, real time during the class or offline via the Cloud Campus to raise questions and clear their doubts.

15Hrs. Tableau Masterclass by Nulearn

Strategy is the plan a firm follows to reach its destination, and a strategy is only as effective as the people who are executing it. Therefore, alignment of the people management policies and practices of a firm to its overall strategic goals is imperative. The present program is designed to develop a holistic understanding of the recent developments in people management in organizations, an appreciation of human resource management from the strategic perspective, and the various tools and techniques of HR Analytics. The course also provides an overview of the various digital tools at the disposal of the modern HR manager to pursue the strategic goals of the organization, and the changing nature of the work and the workplace in times of global uncertainties.

PROGRAM OBJECTIVES:

• To develop an understanding of the role of Human Resource Management in forwarding the strategy of the organization.
• To develop competence in using the tools and techniques employed in Strategic Human Resource Management and HR Analytics.
  
• To develop an appreciation of how human resource management practices change with the changing context of the organization.
  

• Professionals who are looking to upgrade their career in Human Resource Management.
• HR Managers & Leaders/Entrepreneurs.
• HR executives who wish to advance their HR skills and move into more strategic roles.
• HR Business partners.
  

• For Indian Participants – Graduates from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline.
  
• For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country.
  
• One-year corporate experience is preferable.
  

• Course will be taught through online platforms.
  
• Instructor’s notes, data and scripts will be shared via Nulearn Platform.
  
• Participants will be evaluated continuously through continuous assignments.
  
• There will be final examination with multiple choice questions.
  
• Course material is solely meant for recipient’s and should not be distributed/shared elsewhere.
  

15Hrs. Tableau Masterclass by Nulearn

Executive Certificate Program in Strategic Management with IIM Kashipur focuses mainly on teaching participants as to how they can manage businesses and projects proactively with a focus on long-term strategy, rather than reacting to day-to-day hiccups. 

The objectives of this program are:

• Enable participants to understand the strategic management process and the impact of the changing business environment and globalization on it;
• Provide participants an exposure to the fundamental principles and tools of Strategic Management
• Provide an opportunity to participants to analyze the experiences of companies in strategy making and implementation
• Enable participants to understand leadership competencies, change management and team management, effectively using tools and processes
• Exposure to managing high-stakes deals, settling major disputes, navigating challenging negotiations, or discovering Strategic Turnaround Leadership

• Professionals who are looking to upgrade their career in Management.
• Entrepreneurs/Directors and CEO's.
• Working professionals in an organization with an acumen and interest in Strategic Management.

• Graduation or equivalent degree from any recognized University or Institute
• Working Professionals with a minimum of 2 years of experience
• Corporate Nominated (graduation criteria maybe considered for exemption in cases where participants have some prior experience in the respective domain).
• On case-to-case basis less experience can be considered.

Periodic evaluations have been built throughout the duration of the course in the form of a quiz, assignment, project, case studies and other objectives/ subjective assessments. The evaluations are designed to ensure continuous student engagement and to encourage learning. Students who successfully clear the same along with the requisite attendance criteria will be awarded a Certificate from IIM Kashipur.

The form of delivery will be Blended (Campus, Self space and online), with 3 days workshop and a final examination will be conducted by the Institute at the end of the course. All the sessions will be conducted through the digital platform and delivered LIVE by the eminent faculty of IIM Kashipur.

Post Graduate Program in Advanced General Management from XLRI|Delhi-NCR is designed specifically for working professionals coming from diverse backgrounds, to enhance their skill set & knowledge. The course curriculum aims to provide participants with a broad understanding of business concepts and practices, as well as the skills needed to effectively manage and lead organizations. The course will cover a wide range of topics, including strategic planning, financial management, marketing, operations management, human resource management, and leadership.

The program is an unparalleled opportunity to take the next step in your career and make a profound impact in your organization. You will emerge as a stronger leader who can design competitive strategies in a global context, promote continuous innovation, and overcome obstacles to growth.

·        Developing the ability to analyze and solve complex business problems

·        Enhancing decision-making and leadership skills

·        Improving communication and interpersonal skills

·        Understanding the role of ethics and corporate social responsibility in business

·        Learning about current trends and best practices in business management

·       Preparing students for leadership roles in a variety of organizations, including for-profit, nonprofit, and public sectors.

• People and/or Functional Managers poised for career growth
• Business Heads and Leaders seeking to gain structured knowledge of business management
• Entrepreneurs and business owners who desire to gain practical skills across different management areas

• For Indian Participants – Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
• For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country.
• Minimum of 2 years of work experience.

The program features two days of mandatory campus learning at XLRI|Delhi-NCR Campus to complement the online component of education. The campus immersion per day charges would be as follows: Single Occupancy Rs.3500/+ Taxes, Double Occupancy Rs.2000/+ Taxes. Accommodation + all meals will be covered in the same.

*Note: Travel expense to & fro from the Institute has to be paid by the participants.

Evaluation methodology is at the discretion of the faculty. The methodology includes quizzes, projects and assessments. A minimum of 75% attendance to the Live Sessions is a prerequisite for the successful completion of this course. The course may require participants to work on individual/group assignments and/or projects. Participants will earn Certificate of Completion only if they meet both criteria, i.e. 75% of attendance along with Instructor Specific Quizzes, Projects & Assessments. In case, any of the participants fail to complete any of the criteria, he/she will be given Certificate of Participation from the Institute.

Alumni Status will be provided only to participants receiving Certificate of Completion.

The delivery would comprise a judicious mix of live virtual lectures, discussions, case studies and experience sharing through peer discussions. The course design is oriented to facilitate learning through the association of the various management concepts and its application in the business world. Across different modules, participants may be encouraged to apply or relate their in-class learning to live situations at work, peer learning therefore would be a key pillar of the process. Take-home projects may be assigned in certain modules.

Module I - Strengthening the Foundation

Module II - Setting the Direction - Strategic Thinking

Module III - Strategy Implementation

Module IV - Leading Change