Data Science Minor

Data plays a role in almost every scientific discipline, business and industry, and social organisations. Medical scientists sequence human genomes, astronomers generate terabytes of data per hour, marketeers analyse the online behaviour of visitors of websites and online services, linguists discover patterns in languages.  And of course, businesses like Google and Amazon are shifting user preference data to fulfill desires we do not even know we have. In this minor, you will get acquainted with data and data structures and develop insights into how data is turned into knowledge and solutions, with the help of computers.

About the minor

You will follow at least 15 ECs worth of Data Science courses that are not already part of your compulsory bachelor curriculum. These ECs consist of one obligatory course and multiple electives. All minor students follow the 6 EC course Data Science Project (NWI-IBC045, taught in Semester 2) and construct their own minor by choosing electives. The courses you can choose depend on your current curriculum. Some courses are more suitable if you have a technical background, for example, because you study at the Faculty of Science (FNWI) or your bachelor is in Artificial Intelligence. Otherwise, you can follow a less technical track. Both groups of courses are listed below. For a more elaborate description and requirements for the courses, please check studiegids (NL)/ENIf you want to include a course that is not listed, or need more advice regarding possible electives, please contact the minor coordinator Stefan Frank (

You can register for the minor (course code NWI-MI-DATSC) starting July 15th. Please note that you also need to enroll in each of the individual courses that you plan to follow as part of the minor.

This minor is only available to students at Radboud University. For HBO students of computer science, the university’s Faculty of Science offers a different Data Science minor, please visit or contact Perry Groot ( for more information.


All bachelor students can apply, except for those studying Computing Science with specialisation Data Science.

Note that:

  • If your curriculum does not contain mathematics, Mathematics for Data Science (NWI-IBC044, 3 EC, taught in Q1) as part of the DS minor is obligatory. Classes for this course will be scheduled after consulting with the students, to maximize possible attendance.
  • If your curriculum does not contain statistics, an introductory statistics course as part of the DS minor is obligatory.
  • If your curriculum does not contain a programming course, an introductory programming course as part of your DS minor is obligatory.

See below for recommended courses.

Electives: technical track

technical track

Electives: non-technical track

non-technical track

Programming courses

programming courses

Statistics courses

Statistics courses