Students who want to enroll in the Master program Data Science & Artificial Intelligence have to have knowledge several subjects in Mathematics, Computer Science and Data Science, see the DS&AI Admission Criteria.
Pre-Master program DS&AI
Students who lack more than 15 credits of prior knowledge can enroll in a 30 credits Pre-Master program for DS&AI.
Requirements to Enroll in Pre-Master Program DS&AI
Students are qualified to start the DS&AI pre-Master program if they
- meet the general entrance requirements for Mathematics and English;
- have obtained the following prior knowledge, with one or more passed courses of 5 credits on each one of the following subjects:
- (Object-Oriented) Programming and Software Development (basics and experience).
- Probability and Statistics or Linear Algebra (at a Bachelor level, i.e. level 6 in European Qualifications Framework).
-
Students who have this prior knowledge and follow the DS&AI Pre-Master program qualify for admission to DS&AI. Depending on the prior knowledge of the student, the student follows one the following Pre-Master programs of 30 credits (6 courses):
Pre-Master program if the student has knowledge in Programming and in Linear Algebra
Quartile Code Unit Timeslot Credits 1
2IHA10
Algorithms and Data Structures
A
5
1
2IT60
Logic and Set Theory
D
5
2
2IIG0
Data Mining and Machine Learning
C
5
2
3
2ID50
orJBI050
Data Modeling and Databases
orData Management for Data Analytics
E
or
D5
2
JBI100
Visualization
D
5
3 2DRR10 Probability and Statistics for CS A 5 -
Pre-Master program if the student has knowledge in Programming and in Probability and Statistics
Quartile Code Unit Timeslot Credits 1
2IT60
Logic and Set Theory
D
5
1
2IHA10
Algorithms and Data Structures
A
5
2
2IIG0
Data Mining and Machine Learning
C
5
2 2DRR00 Linear Algebra and Applications C 5 2
JBI100
Visualization
D
5
3
JBI050
Data Management for Data Analytics
D
5
-