Data Management and Analytics
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'.
Master of Science in Applied Sciences and Engineering: Computer Science Data Management and Analytics
Compulsory courses: year 1
Methods for Scientific Research
3
Declarative Programming
6
Philosophy of Science
3
Software Architectures
6
Data and Information Management
6
Theory of computation
3
Information Theory
3
Compulsory courses: year 2
Research Training
6
Master Thesis Computer Science
24
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
Compulsory courses: year 1 & 2
Scalable Data Management Systems
6
Scalable Analytics
6
Information Visualisation
6
Advanced Topics in Big Data
6
Electives: Profile Data Management & Analytics
You choose a total of 6 credits of courses from the following options
Big Data Processing
6
Statistical Foundations of Machine Learning
6
Advanced Databases
5
Database Systems Architecture
5
Next Generation User Interfaces
6
Electives from other profiles
Current Trends in Artificial Intelligence
6
Capita Selecta Multimedia
3
Advanced Topics in Programming Languages
6
Advanced Topics in Software Engineering
6
Compilers
6
Computational Creativity
6
Computational Game Theory
6
Computational Geometry
5
Computer Vision
4
Discrete Modeling, Optimization, and Search
6
Programming Distributed and Replicated Systems
6
Adaptive Systems Seminar
6
Evolution of speech
6
Formal Verification of Computer Systems
5
Functional Programming
6
Fundamentals of programming languages
6
Heuristic Optimisation
5
Image and Video Technology
3
Image Processing
5
Meta Programming and Reflection
6
Advanced Databases
5
Advanced Topics in Natural Language Processing
6
Programming Language Engineering
6
Processus dynamiques
5
Reinforcement Learning
6
Software Quality Analysis
6
Hands-on channel coding - towards maximal capacity
6
Swarm Intelligence
5
Geo-Spatial and web technologies
5
Security in Computing
6
Advanced Methods in Bioinformatics
6
Advanced Topics in Symbolic AI
6
Advanced Topics in Subsymbolic AI
6
Biomedical Signals and Images
3
Introduction to Cryptography
5
Real-Time Operating Systems
5
Machine Learning for the physical layer: design and analysis
3
3D graphics in VR
5
Performance Analysis and Evaluation
6
Kernel Methods: Principles, Multi-Modality and Deep Learning
6
Other electives
Distributed Computing and Storage Architectures
4
Information Theory
3
Multiprocessors and Reconfigurable Architectures
3
GPU Computing
3
Coding Theory
6
Signal Theory
5
Digital Signal Processing
4
Design and Implementation of Digital Circuits
4
Cryptography
3
Capita selecta Telecom
3
Internship Computer Science
6
Total number of ECTS
120