Study programme
2024-2025
Model path over 2 years
Compulsory courses (18 ECTS-credits)
Advanced Wireless and 5G Networks
Future Internet
Introduction to Performance Modelling
Elective courses (54 ECTS-credits)
Choose 54 ECTS-credits from the list of elective courses, of which:
- at least 12 ECTS-credits from the list elective courses in Computer Networks
- at least 6 ECTS-credits from the list electives in Data Science and Artificial Intelligence
- at least 6 ECTS-credits from the list electives in Software Engineering
Electives courses in Computer Networks: choose at least 12 ECTS
Advanced Networking Lab
Advanced Performance Modelling
Internet of Things
Topics in computer networks
Electives in Data Science and artificial intelligence: choose at least 6 ECTS
Artificial Intelligence Project
Database Systems
Data Science and Ethics
'Data mining' or 'Machine learning' or 'Python for machine learning'
Information Retrieval
Mathematical Foundations of Reinforcement Learning
Algorithmic Foundations of Data Science
Artificial Neural Networks
Bioinformatics
Case Studies in Data Science and Artificial Intelligence
Current Trends in Data Science and Artificial Intelligence
Biomedical Artificial Intelligence
Data Mining
Reinforcement Learning
Electives in Software engineering: choose at least 6 ECTS
Model Driven Engineering
Software Testing
Specification and Verification
Programming Paradigms
Software Reengineering
Modelling of Software-intensive Systems
General electives
Academic Literacies for Scientists
Numerical Optimisation
Optimisation
Convex Analysis and Optimization
Nonsmooth optimisation
Philosophy of Science
Research Project 2 including internship
Research Skills Development (18 ECTS-credits)
Research Project 1 including internship
Master thesis (30 ECTS-credits)
You choose a supervisor or co-supervisor associated with this major
Master thesis Computer Science including internship: Computernetworks
2023-2024
Model path over 2 years
Compulsory courses (36 ECTS-credits)
Advanced Wireless and 5G Networks
Future Internet
Introduction to Performance Modelling
Modelling of Software-intensive Systems
Data Mining
Reinforcement Learning
Elective courses (36 ECTS-credits)
Choose 36 ECTS-credits from the list of elective courses, of which at least 6 ECTS-credits from the following list elective courses - major. If you want to follow additional courses at another university, you have to ask for permission of the Study Programme Commission by sending a request to the Helpdesk. The same procedure has to be followed when you choose a course from the other 2 specializations of this master if not listed below.
ELECTIVE COURSES: MAJOR
I-Robotics
Advanced Networking Lab
Advanced Performance Modelling
Internet of Things
Topics in computer networks
General Topics
Academic Literacies for Scientists
Numerical Optimisation
Optimisation
Convex Optimisation: theory and algorithms
Nonsmooth optimisation
Philosophy of Science
Research Project 2 including internship
Data Science and artificial intelligence
Artificial Intelligence Project
Database Systems
Data Science and Ethics
'Data mining' or 'Machine learning'
Information Retrieval
Mathematical Foundations of Reinforcement Learning
Numerical Optimisation
Algorithmic Foundations of Data Science
Artificial Neural Networks
Bioinformatics
Case Studies in Data Science and Artificial Intelligence
Current Trends in Data Science and Artificial Intelligence
Software engineering
Selected Topics in Software Engineering
Model Driven Engineering
Software Testing
Specification and Verification
Programming Paradigms
Software Reengineering
Research Skills Development (18 ECTS-credits)
Research Project 1 including internship
Master thesis (30 ECTS-credits)
Supervisor or co-supervisor associated with the major
Master thesis Computer Science including internship: Computernetworks
2022-2023
Model path over 2 years
Compulsory courses (36 ECTS-credits)
Advanced Wireless and 5G networks
Future Internet
Introduction to performance modelling
Modelling of software-intensive systems
Data mining
Reinforcement Learning
Elective courses (36 ECTS-credits)
I-Robotics
Advanced networking lab
Advanced performance modelling
Internet of Things
Topics in computer networks
Academic Literacies for Scientists
Numerical Optimisation
Philosophy of science
Research Project 2 including internship
Data Science and artificial intelligence
Artificial Intelligence Project
Database systems
Data science and ethics
'Data mining'
Information retrieval
Mathematical Foundations of Reinforcement Learning
Numerical Optimisation
Algorithmic Foundations of Data Science
Artificial Neural Networks
Bioinformatics
Case Studies in Data Science and Artificial Intelligence
Current Trends in Data Science and Artificial Intelligence
Software engineering
Selected topics in software engineering
Model driven engineering
Software testing
Specification and verification
Programming paradigms
Software reengineering
Research Skills Development (18 ECTS-credits)
Research Project 1 including internship
Master thesis (30 ECTS-credits)
Supervisor or co-supervisor associated with the major
Master thesis Computer Science including internship: Computernetworks
2021-2022
Model path over 2 years
Compulsory courses (42 ECTS-credits)
Advanced Wireless and 5G networks
Computer and network security
Future Internet
Introduction to performance modelling
Modelling of software-intensive systems
Data mining
Reinforcement Learning
Elective courses (18 ECTS-credits)
I-Robotics
Advanced networking lab
Advanced performance modelling
Internet of Things
Topics in computer networks
Academic Literacies for Scientists
Numerical Optimisation
Philosophy of science
- Bert Leuridan
- Raoul Gervais
Data Science and artificial intelligence
Database systems
Information retrieval
Mathematical Foundations of Reinforcement Learning
Artificial Neural Networks
Bioinformatics
Software engineering
Selected topics in software engineering
- Serge Demeyer
- Moharram Challenger
- John Businge
Model driven engineering
Programming paradigms
Software reengineering
- Serge Demeyer
- John Businge
Research Skills Development (30 ECTS-credits)
Research Project 1
Research Project 2
Master thesis (30 ECTS-credits)
Supervisor or co-supervisor associated with the major