Curriculum of Data Science

The Master’s specialisation in Data Science 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, which consists of the following elements:

  • Compulsory courses (21 EC)
  • Electives (48 EC):
        - Specialisation electives (24 EC)
        - Master electives (18 EC)
        - Free electives (6 EC)
  • Research internship (15 EC)
  • Research Seminar (6 EC)
  • Master's thesis (30 EC)

Please note: this course overview is an indication of the study programme of the next academic year. For information about the current curriculum, please have a look at the online course guide:

COURSE GUIDE

Total EC
120 EC

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 (24 EC)
You need to pick at least 24 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 by Master's programmes of the Faculty of Science.

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. 

Internships
P1
P2
P3
P4
  1. P1
  2. P2
  3. P3
  4. 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.
Thesis & research
P1
P2
P3
P4
  1. P1
  2. P2
  3. P3
  4. 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.