Faculty of Sciences and Bioengineering Sciences
Faculteit Ingenieurswetenschappen

Admission Requirements

Enrolling for this study plan is possible after having obtained one of the following degrees:

Academic Bachelor's programme computerwetenschappen
Academic Bachelor's programme informatica
Academic Bachelor's programme ingenieurswetenschappen: computerwetenschappen

You may also be asked to provide additional documents so we may evaluate your application.

AANBEVELINGSBRIEF / LETTER OF RECOMMENDATION 1
AANBEVELINGSBRIEF / LETTER OF RECOMMENDATION 2
MOTIVATIEBRIEF / LETTER OF MOTIVATION
PUNTENLIJST / TRANSCRIPTS (NIET VOOR VLAAMSE DIPLOMA'S)

Overview of the study plan

All students study a core programme of 30 ECTS-credits; do a research training of 6 ECTS-credits and a master thesis of 24 ECTS-credits. Students SHOULD choose one OUT of four specializations: Artificial Intelligence; Multimedia; Software Languages and Software Engineering; or Data Management & Analytics. 30 ECTS-credits should be spent to mandatory and optional courses within the chosen specialization. The 24 remaining optional ECTS-credits can be taken within the specialization or from other specializations. Finally, 6 ECTS-credits can be freely chosen from any master level VUB course. This free choice of 6 ECTS-credits has to be specified through the form (see facultary web site). Here is also an interuniversity offer of elective courses announced by the department. This brings the total to 120 ECTS-credits. The master thesis as well as the research training need to be related to the chosen specialization.
The students have to choose a master thesis topic and a research training within the chosen specialisation. Only students who have already obtained at least 45 ECTS-credits can register for the courses 'Research Training' and 'Master Thesis Computer Sciences'.

In total, this academic plan comprises 120 ECTS credits.


Master Computer Science Compulsory

These courses are envisioned to be part of year 1 and year 2 of the model trajectory.

First Year Master Compulsory

All students study this core programme of 30 ECTS-credits in the first year master of the model trajectory.

From the courses listed below, students must obtain 30 ECTS credits.

3ECTS credits - Methods for Scientific Research
6ECTS credits - Declarative Programming
3ECTS credits - Scientific Integrity
6ECTS credits - Software Architectures
6ECTS credits - Data and Information Management
3ECTS credits - Theory of computation
3ECTS credits - Information Theory

Second Year Master Compulsory

The students have to choose a master thesis topic and a research training within the chosen specialisation. Only students who have already obtained at least 45 ECTS-credits can register for the courses 'Research Training' and 'Master Thesis Computer Sciences'.

From the courses listed below, students must obtain 30 ECTS credits.

6ECTS credits - Research Training
24ECTS credits - Master Thesis Computer Science

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Profile Data Management & Analytics

This profile is geared towards the interdisciplinary domain of Data Science, where multiple aspects of computer sciences intertwine to extract knowledge and insights from structured and unstructured data.

30 ECTS-credits should be spent to mandatory and optional courses within the chosen specialization. The 24 remaining optional ECTS-credits can be taken within the specialization or from other specializations. Finally, 6 ECTS-credits can be freely chosen from any master level VUB course. This free choice of 6 ECTS-credits has to be specified through the form (see facultary website). There is also an interuniversity offer of elective courses announced by the department.

To complete this module, students must obtain 60 ECTS credits.

Profile Data Management & Analytics: Mandatory Courses

These courses are envisioned to be part of year 1 and 2 of the model trajectory.

From the courses listed below, students must obtain 24 ECTS credits.

6ECTS credits - Scalable Data Management Systems
6ECTS credits - Scalable Analytics
6ECTS credits - Information Visualisation
6ECTS credits - Advanced Topics in Big Data

Profile Data Management & Analytics: Electives

These courses are envisioned to be part of year 1 and 2 of the model trajectory.

From the courses listed below, students must obtain 6 ECTS credits.

6ECTS credits - Cloud Computing and Big Data Processing
6ECTS credits - Statistical Foundations of Machine Learning
5ECTS credits - Advanced Databases
5ECTS credits - Database Systems Architecture
6ECTS credits - Next Generation User Interfaces

Profile Data Management & Analytics: Electives from other profiles

These courses are envisioned to be part of year 1 and 2 of the model trajectory.

6ECTS credits - Current Trends in Artificial Intelligence
3ECTS credits - Capita Selecta Multimedia
6ECTS credits - Capita Selecta of Software Engineering
6ECTS credits - Compilers
6ECTS credits - Computational Creativity
6ECTS credits - Computational Game Theory
5ECTS credits - Computational Geometry
4ECTS credits - Computer Vision
6ECTS credits - Discrete Modeling, Optimization, and Search
6ECTS credits - Distributed and Mobile Programming Paradigms
6ECTS credits - Adaptive Systems Seminar
6ECTS credits - Evolution of speech
5ECTS credits - Formal Verification of Computer Systems
6ECTS credits - Functional Programming
6ECTS credits - Fundamentals of programming languages
5ECTS credits - Heuristic Optimisation
3ECTS credits - Image and Video Technology
5ECTS credits - Image Processing
6ECTS credits - Meta Programming and Reflection
6ECTS credits - Multicore Programming
3ECTS credits - Multimedia Seminar
5ECTS credits - Advanced Databases
6ECTS credits - Natural Language Processing
6ECTS credits - Physical Communication
6ECTS credits - Programming Language Engineering
5ECTS credits - Processus dynamiques
6ECTS credits - Reinforcement Learning
6ECTS credits - Software Quality Analysis
6ECTS credits - Voice, Image, Coding, Media and Systems
5ECTS credits - Swarm Intelligence
5ECTS credits - Virtual Reality
5ECTS credits - XML and Web Technologies
6ECTS credits - Advanced Methods in Bioinformatics
6ECTS credits - Security in Computing
6ECTS credits - Artificial Intelligence Programming Paradigms
3ECTS credits - Biomedical Signals and Images

Profile Data Management & Analytics: Other Electives

These courses are envisioned to be part of year 1 and 2 of the model trajectory.

4ECTS credits - Distributed Computing and Storage Architectures
3ECTS credits - Information Theory
3ECTS credits - Multiprocessors and Reconfigurable Architectures
3ECTS credits - GPU Computing
6ECTS credits - Coding Theory
6ECTS credits - Internship Applied Informatics
5ECTS credits - Signal Theory
4ECTS credits - Digital Signal Processing
4ECTS credits - Design and Implementation of Digital Circuits
3ECTS credits - Cryptography
3ECTS credits - Capita selecta Telecom

Electives conditional to the agreement of the agreement of the examination comm

Max.12 ECTS credits can be chosen by students that did not take these or similar courses in there previous education. These courses can only be taken with the approval of the chairman of the Educational Board. In order to register for these courses please use the online form that can be found on the faculty website.

Profile Data Management & Analytics: Free Choice VUB master courses

6 ECTS-credits can be freely chosen form any Master level VUB-course.

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