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 have 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 (on 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 for student with prior knowledge in Linear Algebra
| Quarter | Code | Unit | Timeslot | Credits |
|---|---|---|---|---|
1 | 2IHA10 | Algorithms and Data Structures | A | 5 |
1 | 2IT60 | Logic and Set theory | D | 5 |
1 | 2DI90 | Probability & Statistics | D | 5 |
2 | 2IIG0 | Data Mining and Machine Learning | C | 5 |
2 | 2ID50 | Data modeling and databases Data Management for Data Analytics | E | 5 |
2 | JBI100 | Visualization | D | 5 |
Pre-Master program for students with prior knowledge in Probability and Statistics
| Quarter | Code | Unit | Timeslot | Credits |
|---|---|---|---|---|
1 | 2MBA20 | Linear Algebra 1 | A | 5 |
1 | 2IT60 | Logic and Set theory | D | 5 |
2 | 2IIG0 | Data Mining/Machine Learning | C | 5 |
| 2 or 3 | 2ID50 | Data modeling and databases Data Management for Data Analytics | E | 5 |
2 | JBI100 | Visualization | D | 5 |
3 | 2IL50 | Data Structures | B | 5 |
Pre-Master program for students with further prior knowledge
Students who satisfy further prior knowledge requirements for DS&AI can follow a reduced Pre-Master program. Students who have a deficit of at most 15 credits (3 courses) can be admitted to DS&AI with the missing courses as homologation courses to follow during the Master program.