Pre-master Data Science & Artificial Intelligence (DS&AI)

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

  1. meet the general entrance requirements for Mathematics and English;
  2. have obtained the following prior knowledge, with one or more passed courses of 5 credits (ECTS) 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 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
or
3

2ID50
or
JBI050

Data modeling and databases
or

Data Management for Data Analytics

E
or
D

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
or
JBI050

Data modeling and databases
or

Data Management for Data Analytics

E
or
D

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.

Content of DS&AI premaster