M.Sc. in Data Science for Decision Making at Maastricht University: Fees, Eligibility, Entry Requirements, Admission Deadlines & Scholarships

Years

 Core Modules

 Optional Modules

Year 1

• Information Retrieval

• Research Project Data Science for Decision Making 1

• Bayesian Networks and Causal Inference

• Machine Learning in Practice

• Philosophy and Ethics for Computing and Information Science

• Complex Adaptive Systems

• Deep Learning

• Text and Multimedia Mining

• Law and Technology

• Statistical Machine Learning

• Pattern Recognition for Natural Science

• Generative AI

• Natural Computing

• Artificial Intelligence in Medical Imaging

• Machine Learning in Particle Physics

• (Automatic) Speech Recognition and more. 

• Intelligent Search & Games

• Mathematical Optimization

• Stochastic Decision Making

• Signal and Image Processing

• Quantum Algorithms

• Advanced Concepts in Machine Learning

• Advanced Natural Language Processing

• Quantum AI

• Quantum Information and Security

• Network Science

• Research Project Quantum Computing

• Agents and Multi-Agent Systems

• Data Fusion

• Explainable AI

• Dynamic Game Theory

• Planning and Scheduling

• Building and Mining Knowledge Graphs

• Autonomous Robotic Systems

• Information Retrieval and Text Mining and more.