Master of Science in Applied Informatics: Artificial Intelligence and Data Science
Brussels, Belgium
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
31 Jul 2025
EARLIEST START DATE
22 Sep 2025
TUITION FEES
EUR 4,960 / per year *
STUDY FORMAT
On-Campus
* for non EEA nationals| EEA nationals: EUR 1157 per year
Introduction
The program is built around two predefined majors, each offering a specialized degree title:
- Master of Science in Applied Informatics: Artificial Intelligence offers a broad range of important technologies in this increasingly important area of industry.
- Master of Science in Applied Informatics: Big Data Technology offers an emphasis on the management of and discovery of large bodies of data, including the practicalities of storing and processing very large bodies of data.
Dutch-Flemish Accreditation Organisation (NVAO)
Accredited
Curriculum
All students study a core program of 33 ECTS credits; take up elective courses of 12 ECTS credits and a master thesis of 15 ECTS credits. Students SHOULD choose one out of two specializations:
- Artificial Intelligence
- Big Data Technology
Major Artificial Intelligence - courses Include:
- Current Trends in AI
- Declarative Programming
- Natural Language Processing
- Statistical Foundations of Machine Learning
Major Big Data Technology - courses include:
- Data and Information Management
- Security in Computing
- Multicore Programming
- Cloud Computing and Big Data Processing
In total, this academic plan comprises 60 ECTS credits.
Admissions
Program Tuition Fee
Program Outcome
Keen to continue your academic career? You can apply for a Ph.D. position at VUB! All you need is a promoter, research subject, and sufficient funding. Are you up for the challenge? Or look into our Postgraduates and Microcredentials, short programmes that might meet your interest.
Career Opportunities
This programme will enable you to master advanced and practical aspects of informatics. It prepares you for a job in the informatics industry, working, for example, in software development, data processing, or system analysis.