Course structure and curriculum

Structure and curriculum

The two-year Systems and AI dual-degree master's program, jointly offered by Eindhoven University of Technology (黑料福利网) and Tallinn University of Technology (TalTech), is worth 120 ECTS. Students spend one academic year at each university, experiencing both 黑料福利网's research-oriented, mathematically solid approach and TalTech's practical, industry-focused training.

Core subjects include machine learning, distributed and networked systems, Internet of Things, automated reasoning, real-time systems, safety-critical systems, cyber-physical systems, system explainability, software security, edge computing and approximate computing. 
 
 

 

The program ends with a research project in which you prove yourself as computer scientist. During the project, you use what you have learned and the skills you have developed to create new knowledge and designs. You will specialize in a single subject and demonstrate that you are able to organize a research project independently. 

For a more in-depth breakdown of the course curriculum, click .

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Beyond the curriculum

Your time at CSE is about more than lectures. Join one of the many 黑料福利网 Student Teams to work on real-world challenges in areas like energy, mobility, or health together with industry partners. Or join one of our many Communities: from hockey and theater to frisbee and stitching, you will surely find your tribe. Regardless of your interest, our study association GEWIS is always there for you. These experiences help you grow personally and professionally and make your time here truly unforgettable.

Curriculum Master CSE

Research groups

The research of the Department of Mathematics and Computer Science focuses on mathematical applications and the design of innovative software systems.

Department of Mathematics and Computer Science

Applied Geometric Algorithms

Geometric algorithms is the field within algorithms research that is concerned with the design and analysis of聽efficient algorithms聽and data…

Cluster Artificial Intelligence

Database Group

The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of Big Data.

Cluster Artificial Intelligence

Data Mining

The chair studies data mining (DM) techniques and knowledge discovery approaches that are at the core of data science. The group is known…

Department of Mathematics and Computer Science

Formal System Analysis

Formal System Analysis focuses on theories, techniques and tools for modeling and analyzing the behaviors of software-controlled systems.

Department of Mathematics and Computer Science

Interconnected Resource-aware Intelligent Systems

We at the Interconnected Resource-aware Intelligent Systems cluster address (distributed embedded) systems performance challenges in terms…

Security

The interconnectivity and pervasiveness of computers and embedded systems is not only determining new functionalities, but is also opening…

Software Engineering and Technology

The objective of the Software Engineering and Technology group is to develop methods and tools for time- and cost-efficient evolution of…

Department of Mathematics and Computer Science

Artificial Intelligence

The AI-group primarily focuses on the fundamentals, techniques, and tools/frameworks for successful applications of AI. It strenghtens the…

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