Post Graduate Certification in Advanced General Management (4th Batch)

• Quantitative Thinking for Managerial Decisions in Data-Rich Environments
• Descriptive Statistics and Business Insights from Structured and Unstructured Data
• Data Visualization and Analytics Communication
• Probability and Risk in Algorithm-Supported Decisions
• From Managerial Assumptions to Hypothesis, Evidence, and Model Validation
• Predictive Analytics and Machine-Assisted Forecasting for Business Decisions
• Prescriptive Analytics, Optimization, and Decision Support Systems for Managers
• AI-assisted data exploration and decision modeling
• Human-in-the-loop validation of AI-generated insights

• Understanding Annual Reports and Technology-Enabled Disclosures
• Financial Statement Analysis
• Capital Budgeting Decisions
• Cost of Capital and Investment Decisions
• Capital Structure, Leverage, and Risk Trade-offs
• Sourcing of Funds—Domestic and Cross-Border Markets
• Valuation of Securities and Data-Driven Valuation Models
• Financial and Risk Management
• Liquidity Decisions and Working Capital Management
• AI-supported financial diagnostics and valuation reasoning
• Use of AI for risk sensing and sensitivity analysis

Initiation of Group Projects at the end of the 2nd Module

• Introduction to Marketing Management in the Digital Era
• Marketing Mix Decisions and Technology-Enabled Execution
• Product and Brand Management in Platform-Based Markets
• Sales and Distribution Management
• Pricing Models, Dynamic Pricing, and Revenue Optimization
• Designing Social Media and Algorithm-Driven Marketing Campaigns
• Exploring and Analyzing Consumer Behavior Using Data Insights
• Introduction to Market Research and Analytics
• AI-enabled customer insight generation
• Algorithm-supported marketing decisions

• Managing Self and Leadership Mindset
• Team Dynamics, Collaboration, and Conflict Management
• Organizational Culture and Change Leadership
• People Performance, Workforce Analytics, and Evidence-Based HR
• Leadership Influence, Negotiation, and Decision Authority in Organizations
• Evidence-based people decisions using AI analytics
• Responsible use of AI in leadership and HR contexts

• Foundations of Strategic Management
• Internal Analysis, Capabilities, and Competitive Advantage
• Strategic Positioning and Competitive Dynamics
• Corporate Strategy and Growth Pathways
• Business Models: Design, Analysis, and Digital Leverage
• Business Model Innovation in Technology-Driven Markets
• Design Thinking, Innovation, and Human-Centred Problem Solving
• Entrepreneurial Strategy and Scaling
• Strategic Change, Innovation, and Transformation
• Global Strategy and Integration
• AI-assisted strategic analysis and scenario planning
• Evaluating strategic risks and blind spots using AI

• Process Analysis and Improvement in Operations
• Quality Management and Six Sigma Thinking
• Operations Strategy and Competitive Advantage
• Demand Forecasting and Sales–Operations Planning (S&OP)
• Supply Chain Design, Analytics, and Resilience
• Inventory Management and Optimization Models
• Managing Service Operations, Service Encounters, and Revenue Management
• Project Planning, Execution, and Technology-Enabled Control Systems
• AI-supported operational forecasting and optimization
• Technology-enabled project control and risk monitoring

• Managing in the Macro Business Environment
• Philosophical Roots of Modern Business and Economic Thought
• Introduction to Micro and Macro Economics
• Dynamics of Factor and Product Markets
• Supply, Demand, and Price Dynamics in Contemporary Markets
• Indian Economy: Overview and Contemporary Trends
• Dynamics of Labour Market Environment in the Age of Automation
• Implications of Money, Banking, and Government Budgets
• Managing Patents, Copyrights, and Intellectual Property Rights
• Managing Political Ties and Institutional Interfaces
• AI-enabled economic analysis and policy interpretation
• Understanding economic shifts driven by automation and AI

• Foundations of Artificial Intelligence for Managers
• Data as a Strategic Asset: Big Data, Platforms, and Analytics
• Managerial Applications of AI Across Business Functions
• Digital Disruption and Business Model Transformation
• Agile and Technology-Enabled Organizational Transformation
• Digital Leadership, Ethics, and Responsible AI
• Cross-functional AI use cases drawn from finance, marketing, operations, and strategy
• AI governance and managerial accountability

• Communication Strategies for Business and Leadership
• Culture, Media, and the Firm
• Literature and the Social Imagination
• Relational Sociology and Networks in Organizations
• Positive Psychology and Human Flourishing in Management
• Sustainable Development Goals and Environmental Justice
• Business Ethics in a Technologically Mediated World
• Societal implications of AI-driven business decisions
• Ethics, responsibility, and human values in AI adoption/li>

The program integrates Artificial Intelligence as a decision-support capability across functional domains, enabling participants to leverage AI tools for analysis, insight generation, and strategic reasoning while retaining managerial judgment and responsibility. Participants will learn how to frame problems, interpret AI-generated insights, validate outputs, and apply human judgment to ensure responsible, ethical, and effective decision-making.

The group project is a core experiential component of the Advanced General Management Program and a key basis for participant evaluation. Undertaken in multidisciplinary teams, the project requires participants to identify, analyze, and propose solutions to real-world managerial challenges by integrating insights from analytics, finance, marketing, strategy, ethics, and digital transformation. Initiated after the two modules, the project encourages rigorous problem formulation, data-driven analysis, strategic thinking, and practical decision-making. Participants are evaluated on the depth of analysis, application of interdisciplinary concepts, quality of recommendations, teamwork, and the clarity and effectiveness of their presentation, thereby ensuring that learning outcomes translate into actionable managerial competence.

The Campus Module is a carefully designed residential capstone that brings together the learning from all ten online modules into an integrated, immersive, and application-oriented experience. Delivered through ten intensive sessions on campus, this module enables participants to synthesize insights from analytics, finance, marketing, strategy, operations, economics, leadership, ethics, artificial intelligence, and digital transformation. The sessions are structured to foster holistic managerial thinking through cross-functional discussions, advanced case deliberations, faculty-led integrative frameworks, and collaborative reflections on real-world business challenges. By encouraging peer learning, critical dialogue, and strategic synthesis in a residential academic environment, the Campus Module consolidates conceptual understanding while sharpening decision-making, leadership judgment, and interdisciplinary problem-solving skills—ensuring that participants complete the program with a cohesive, practice-ready managerial perspective.