Explore the programs and courses offered by Mathematical Modeling and Decision Techniques
Browse Programs Admission InformationThe Master’s in Mathematical Modeling and Decision Techniques is designed to train students in applied mathematics, optimization, and decision-making strategies. It combines mathematical theory, computational methods, and real-world applications to equip graduates with the skills needed for data-driven decision-making, financial modeling, and operations research.
📍 Queue Management – Modeling waiting line systems in various applications.
📍 Advanced Stochastic Processes – Study of probability-based systems.
📍 Stock Management – Optimization techniques for inventory control.
📍 Nonlinear Optimization with Constraints – Advanced mathematical programming.
📍 Introduction to Dynamic Systems – Modeling and stability analysis of dynamic models.
📍 Advanced Simulation Techniques – Computational approaches to modeling uncertainty.
📍 Artificial Intelligence: Principles and Applications – AI-driven decision-making.
📍 Financial Mathematics and Corporate Finance – Financial modeling and risk assessment.
🚀 Optimal Control and Financial Applications – Optimization in economics and finance.
🚀 Multi-Objective Optimization – Decision-making with multiple criteria.
🚀 Combinatorial Optimization – Graph algorithms and network optimization.
🚀 Decision-Making under Uncertainty – Bayesian networks and Markov decision processes.
🚀 Scientific Writing and Research Methods – Preparation for academic and industrial research.
🚀 Final Year Research Project and Internship – Practical experience in industry or academia.