Below you can find the curriculum of the pre-master program AI&ES. There are two programs:

  • Program A is for students with pre-knowledge in Data but with deficiencies in Signals & Systems.

  • Pogram B is or students with pre-knowledge in Signals & Systems but with deficiencies in Data.

Q1 EC Program A Program B
2WBB0 Calculus (variant 2) 5 x x
2DL60 Linear algebra 2,5 x x
2DL70 Probability and statistics 2,5 x x
2IIG0 Data mining and machine learning 5 x x
5ESE0 Signal processing basics 5 x  
2IAB0 Data analytics for engineers 5   x
JBI050 Data management for data analytics 5   x
2IS50 Software development for engineers 5 x x
5ESB0 Systems 5 x  
    30 EC 30 EC

After a student successfully completes the pre-master program AI&ES within the set term (maximally two semesters), the student is admitted to the master program and can continue with the master program AI&ES.

Below in the Downloads section you can find the curriculum of the pre-master program AI&ES for the academic year 2023-2024.

Master study components in Q3 & Q4

As the curriculum above shows, students of the pre-master program AI&ES cannot complete the program within six months of the start of the program. Therefore, according to the Program ad Examinations Regulations, students of the pre-master program AI&ES who have obtained a minimum of 15 credits within the 1st semester of the pre-master program, may submit a request to expand their program with a maximum of 15 credits worth of master courses. The credits obtained for master courses during the pre-master program may at the request of the student be recorded, retaining the grade and date of examination, on the students’ master transcript. In this way, you will be able to already follow some courses of the master program AI&ES in the 2nd semester, e.g. the core courses 5CTA0 Statistical signal processing4DM20 Engineering optimization and 1BM120 Decision making with artificial and computational intelligence. Please note, the pre-master program still needs to be finished within one year (max. two semesters).

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