Study programme
Dutch-taught Master of Computer Science: Data Science and Artificial Intelligence
This programme is taught in Dutch. On these pages, and for informational purposes only, we provide basic information about this programme in English.
We do offer this programme in English. Were you looking for the English equivalent of this programme? Take a look at the study programme of the English-taught programme
2024-2025
Model Path over 2 years
Compulsory courses
You follow all courses in this list
Database Systems
Data Mining
Artificial Neural Networks
Elective courses (42 ECTS-credits)
Choose 42 credits from the list of elective course units, of which:
- at least 12 credits from the list of in-depth elective courses in Data Science and AI
- at least 6 credits from the list of broadening elective courses in Software Engineering
- at least 6 credits from the list of broadening elective courses in Computer Networks
Elective course units can be taken at another institution under interuniversity agreement after approval of the study progress committee. This also applies to course units from the 2 other majors of this master if they are not listed here. You can submit your application via the Helpdesk.
In-depth elective courses in Data Science and AI
Artificial Intelligence Project
Data Science and Ethics
'Data mining' or 'Machine learning' or 'Python for machine learning'
Bioinformatics
Case Studies in Data Science and Artificial Intelligence
Reinforcement Learning
Information Retrieval
Broadening elective courses in Computer Networks
Advanced Wireless and 5G Networks
Future Internet
Introduction to Performance Modelling
Advanced Networking Lab
Internet of Things
Topics in computer networks
Broadening elective courses in Software Engineering
Model Driven Engineering
Specification and Verification
Programming Paradigms
Software Testing
Modelling of Software-intensive Systems
General electives
Academic Literacies for Scientists
Philosophy of Science
Mathematical Logic
Option Management and Entrepreneurship
Take the courses from the list below in the first year. (18 ECTS-credits)
Management and organisation
Strategic Business Communication
Financial management and legal aspects
Take the courses from the list below in the second year. (12 ECTS-credits)
Innovation and entrepreneurship
Process management and quality care
Master thesis
Master thesis including internship
Master thesis including internship : data science and artificial intelligence
2023-2024
Model Path over 2 years
Compulsory courses (36 ECTS-credits)
Database Systems
Information Retrieval
Modelling of Software-intensive Systems
Data Mining
Reinforcement Learning
Elective courses (24 ECTS-credits)
Choose 24 ECTS-credits from the list of elective courses, of which at least 12 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
____
Artificial Intelligence Project
Data Science and Ethics
'Data mining' or 'Machine learning'
Artificial Neural Networks
Bioinformatics
Case Studies in Data Science and Artificial Intelligence
ELECTIVE COURSES: MINOR
General Topics
Academic Literacies for Scientists
Philosophy of Science
Mathematical Logic
Programme computer networks
Advanced Wireless and 5G Networks
Future Internet
Introduction to Performance Modelling
I-Robotics
- Rafael Berkvens
- Mohammad Hasan Rahmani
Advanced Networking Lab
Internet of Things
Topics in computer networks
Programme software engineering
Selected Topics in Software Engineering
Model Driven Engineering
Software Architecture
Specification and Verification
Programming Paradigms
Software Testing
Option Management and Entrepreneurship
Take the courses from the list below in the first year. (18 ECTS-credits)
Management and organisation
Strategic Business Communication
Financial management and legal aspects
Take the courses from the list below in the second year. (12 ECTS-credits)
Innovation and entrepreneurship
Process management and quality care
Master thesis including internship (30 ECTS-credits)
Master thesis including internship
Master thesis including internship : data science and artificial intelligence
2022-2023
Model Path over 2 years
Compulsory courses (36 ECTS-credits)
Database systems
Information retrieval
Modelling of software-intensive systems
Data mining
Reinforcement Learning
Elective courses (24 ECTS-credits)
Choose 24 ECTS-credits from the list of elective courses, of which at least 12 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
____
Artificial Intelligence Project
Data science and ethics
'Data mining'
Artificial Neural Networks
Bioinformatics
ELECTIVE COURSES: MINOR
General Topics
Academic Literacies for Scientists
Philosophy of science
Programme computer networks
Advanced Wireless and 5G networks
Future Internet
Introduction to performance modelling
I-Robotics
- Rafael Berkvens
- Mohammad Hasan Rahmani
Advanced networking lab
Internet of Things
Topics in computer networks
Programme software engineering
Selected topics in software engineering
Model driven engineering
Software architecture
Specification and verification
Programming paradigms
Software testing
Option Management and Entrepreneurship
Take the courses from the list below in the first year. (18 ECTS)
Management and organisation
Strategic Business Communication
Financial management and legal aspects
Take the courses from the list below in the second year. (12ECTS)
Innovation and entrepreneurship
Process management and quality care
Master thesis including internship (30 ECTS-credits)
Master thesis including internship
Master thesis including internship : data science and artificial intelligence
2021-2022
Model Path over 2 years
Compulsory courses (36 ECTS-credits)
Computer and network security
Database systems
Information retrieval
Modelling of software-intensive systems
Data mining
Reinforcement Learning
Elective courses (24 ECTS-credits)
Choose 24 ECTS-credits from the list of elective courses, of which at least 12 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
____
Artificial Intelligence Project
Data science and ethics
- 'Data Mining'
Mathematical Foundations of Reinforcement Learning
Numerical Optimisation
Algorithmic Foundations of Data Science
Artificial Neural Networks
Bioinformatics
Case Studies in Data Science and Artificial Intelligence
ELECTIVE COURSES: MINOR
General Topics
Academic Literacies for Scientists
Philosophy of science
- Bert Leuridan
- Raoul Gervais
Programme computer networks
Advanced Wireless and 5G networks
Future Internet
Introduction to performance modelling
Internet of Things
Programme 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 (30 ECTS-credits)
Research Project 1
Research Project 2
Option Management and Entrepreneurship
Take the courses from the list below in the first year. (18 ECTS)
Management and organisation
Strategic Business Communication
- Rebecca Van Herck
Financial management and legal aspects
Take the courses from the list below in the second year. (12ECTS)
Innovation and entrepreneurship
Process management and quality care
Master thesis including internship (30 ECTS-credits)
Master thesis including internship
Master thesis including internship : data science and artificial intelligence
2020-2021
Model Path over 2 years
Compulsory courses (36 ECTS-credits)
Computer and network security
Data mining
Database systems
Information retrieval
Modelling of software-intensive systems
Reinforcement Learning
Elective courses (24 ECTS-credits)
Choose 24 ECTS-credits from the list of elective courses, of which at least 12 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
____
Algorithmic Foundations of Data Science
Artificial Intelligence Project
Artificial Neural Networks
Bioinformatics
Case Studies in Data Science and Artificial Intelligence
Current Trends in Data Science and Artificial Intelligence
Data science and ethics
- 'Data Mining'
Numerical Optimisation
ELECTIVE COURSES: MINOR
General Topics
Academic Literacies for Scientists
Numerical Optimisation
Philosophy of science
- Bert Leuridan
- Raoul Gervais
Selected topics of computational science
Programme computer networks and distributed systems
Advanced Wireless and 5G networks
Introduction to performance modelling
Topics in computer networks
Programme software engineering
Selected topics in software engineering
- Serge Demeyer
- John Businge
- Moharram Challenger
Model driven engineering
Programming paradigms
Software reengineering
- Serge Demeyer
- Henrique Santos Camargos Rocha
Research (30 ECTS-credits)
Option Research
Research Project 1
Research Project 2
Option Management and Entrepreneurship
Take the courses from the list below in the first year. (18 ECTS)
Financial management and legal aspects
Management and organisation
Strategic Business Communication
Take the courses from the list below in the second year. (12ECTS)
Innovation and entrepreneurship
Process management and quality care
Master thesis including internship (30 ECTS-credits)
Master thesis including internship