Please note: This page is aimed at prospective students. Are you already a student at Radboud University? You can find your current study programme in the Course catalogue.
Curriculum of Data Science and AI
The Master’s specialisation in Data Science and AI has a course load of 120 EC (two years). Apart from a few compulsory courses, you can compose most of the programme with electives.
About this study curriculum
The list below illustrates the basic organisation of the Master's specialisation Data Science and AI, which consists of the following elements:
- Compulsory courses (24 EC)
- Electives (45 EC):
- Specialisation electives (21 EC)
- Master electives (18 EC)
- Free electives (6 EC) - Research internship (15 EC)
- Research Seminar (6 EC)
- Master's thesis (30 EC)
Provisional overview for prospective students
This overview provides an indication of the study programme of the academic year 2026-2027 and is aimed at prospective students. It is subject to change and no rights may be derived from it. Already a student at Radboud University? View your current study programme in the Course catalogue.
- P1
- P2
- P1
- P2
- P2
- P2
- P3
- P4
- P1
- P1
- P2
- P1
- P2
- P1
- P2
- P2
- P3
- P3
- P4
- P3
- P4
- P3
- P4
- P3
- P4
- P3
- P4
- P3
- P4
- P3
- P4
- P3
- P4
- P4
- P4
Your core curriculum is supplemented by electives. The elective programme consists of Specialisation electives, Master electives and Free electives. You’re free to compose this programme as you wish, provided that the level and coherence is sufficient for the Examination Board.
Specialisation electives (21 EC)
You need to pick at least 21 EC worth of Specialisation electives (see the list above) that are within the fields of theory and tools, applications, and Data Science aspects.
Master electives (18 EC)
These can be any courses offered in the Master's programmes Computing Science or Artifical Intelligence (from the Faculty of Social Sciences). Courses from other Master's programmes are also permitted provided there is no overlap and these have been approved by the Examination Board.
Free electives (6 EC)
6 EC of the total electives can be used to take any course taught at Radboud University, another Dutch university or abroad.
- P1
- P2
- P3
- P4
You may choose to do your research internship at:
- One of the iCIS departments, specialising in different aspects of Data Science.
- A company, which can be either an SME, such as Orikami, Media11 or FlexOne, or a multinational, such as ING, Philips, ASML, Capgemini or Booking.com.
- A governmental institute, such as the Belastingdienst or ESA.
- Any department at Radboud University or another university with data questions. You can think of astronomy, particle physics, chemometrics, neuroscience, and bioinformatics.
- P1
- P2
- P3
- P4
- P3
- P4
In your Master's thesis, you will prove that you are able to analyse a problem in Computing or Information Science at master level and design a solution for this problem using scientific methods and techniques. Your Master's thesis consists of an individual research project, which allows you to investigate a topic of your choice in Data Science under the close supervision of our expert staff. It is possible to combine your research for the master's project with an internship in a suitable company.