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Master in Game Theory Training

Live Online & Classroom Enterprise Training

Applies mathematical models to predict behavior and outcomes in competitive or cooperative business settings.

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What is Master in Game Theory Training about?

Game Theory is the mathematical study of strategic interactions among rational decision-makers. This Master-level course covers core concepts such as Nash equilibrium, cooperative vs. non cooperative games, repeated games, bargaining, auctions, and evolutionary strategies. Learners will analyze real-world scenarios in economics, finance, political science, and artificial intelligence, applying game-theoretic models to optimize strategies and predict outcomes. Combining theory with case studies and problem-solving exercises, the course equips participants with advanced skills in strategic analysis and decision-making. 

What are the objectives of Master in Game Theory Training ?

  • Understand fundamental concepts of Game Theory and strategic decision-making. 
  • Apply equilibrium analysis (Nash, Subgame Perfect, Bayesian) in different contexts. 
  • Explore cooperative game theory, coalition formation, and bargaining models. 
  • Analyze applications in economics, business strategy, AI, and social sciences. 
  • Develop problem-solving skills through mathematical modeling and simulations.

Who is Master in Game Theory Training for?

  • Economics and Business students or professionals. 
  • Data Scientists and AI/ML practitioners. 
  • Policy makers and Political Science researchers. 
  • Mathematicians and Statisticians. 
  • Professionals in finance, strategy, or consulting roles.

What are the prerequisites for Master in Game Theory Training?

Prerequisites:  

  • Basic knowledge of probability and statistics. 
  • Understanding of linear algebra and calculus. 
  • Familiarity with economics or decision theory (helpful). 
  • Analytical and logical reasoning skills. 
  • Interest in strategic modeling and applications. 

Learning Path: 

  • Introduction to Game Theory and Strategic Thinking 
  • Non-Cooperative Games and Nash Equilibrium 
  • Repeated Games, Auctions, and Bargaining Models 
  • Cooperative Game Theory and Applications in Economics & Politics 
  • Advanced Applications: AI, Machine Learning, and Evolutionary Games 

Related Courses: 

  • Applied Economics and Decision Theory 
  • Behavioral Economics and Strategy 
  • Artificial Intelligence and Multi-Agent Systems 
  • Advanced Microeconomics

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

  • Understanding the Fundamentals of Game Theory
  • Key Terminologies: Players, Strategies, and Payoffs
  • Real-World Applications of Game Theory
  • Types of Games: Cooperative vs Non-Cooperative
  • The Role of Rationality and Decision-Making
  • Representing Games in Strategic (Normal) Form
  • Extensive Form Games: Trees and Sequential Decisions
  • Information Sets and Imperfect Information
  • Payoff Matrices and Utility Representation
  • Example Modeling Scenarios
  • Static vs Dynamic Games
  • Symmetric vs Asymmetric Games
  • Zero-Sum vs Non–Zero-Sum Games
  • Deterministic vs Stochastic Games
  • Cooperative vs Competitive Settings
  • Dominant and Dominated Strategies
  • Best Response Functions
  • Strategy Profiles and Payoff Comparisons
  • Mixed vs Pure Strategy Equilibria
  • Iterated Elimination of Dominated Strategies
  • Nash Equilibrium: Concept and Calculation
  • Subgame Perfect Equilibrium
  • Bayesian Equilibrium in Games with Incomplete Information
  • Computational Approaches to Solving Games
  • Comparative Analysis of Equilibrium Outcomes
  • Finite vs Infinite Repeated Games
  • Strategy Evolution Across Time
  • The Role of History and Memory in Play
  • Trigger and Tit-for-Tat Strategies
  • Folk Theorems and Long-Term Cooperation
  • Introduction to Probabilistic State Transitions
  • Markov Decision Processes and Game Theory
  • Equilibrium Concepts in Stochastic Settings
  • Dynamic Programming and Optimal Strategies
  • Case Studies in Stochastic Games
  • Equilibrium in Economic Markets
  • Political and Social Strategy Models
  • Negotiation and Bargaining Applications
  • Competitive Business Strategy Design
  • Network and Algorithmic Game Theory Applications
  • Ethical and Behavioral Considerations in Game Theory
  • The Impact of Psychology and Bias on Strategy
  • Game Theory in Real-World Policy and Governance
  • Evaluating Limitations of Classical Models
  • Future Directions in Strategic Analysis

Who is the instructor for this training?

The trainer for this Master in Game Theory Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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