Pre-master Data Science & Artificial Intelligence (DS&AI) 2024/2025

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 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

      1

      2DI90

      Probability & Statistics

      D

      5

      2

      2IIG0

      Data Mining and Machine Learning

      C

      5

      2
       

       

      2ID50
      or

      JBI050

      Data modeling and databases
      or

      Data Management for Data Analytics

      E
      or
      D

      5

      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

      B

      5

       

    •  

      Content of DS&AI premaster