The specialization in Mathematics of Data Science comprises 2 years of study for a total of 120 EC.

Year 1

In the first year you will gather 60 EC, spread out over courses in three categories:

Compulsory basic courses

The compulsory courses for the specialization in Data Science are:

The above courses combined cover 27 EC. You will collect the remaining 33 EC for year 1 by following at least 3 advanced courses, to be complemented by your choice of elective courses.

Recommended elective courses

Year 2

The second year of the specialization in Data Science specialization consists of a compulsory internship (20 EC) and your Master's assignment (40 EC).

Your internship

As an intern you will work in an environment relevant to your future as a professional. Suitable internships are available in, e.g.:  

  • companies that are centred around the use of data, like, Uber, or Google.
  • tech companies like Philips or Thales that are using new developments in data science to improve their products
  • governmental organizations

Apart from the above, an internship with a foreign university is also a possibility. Based on what you wish to learn and how you see your future, you and your coordinator together will determine the choice that best suits your situation and preferences.

Graduation and research

After your internship you will work on a Master’s assignment in the field of Data Science. The choice of your specific graduation subject will be largely up to you. For example, you may want to contribute to the formulation of theories around a specific theme concerning big data, or look for an algorithm or mathematical model that can help you answer your research question. Should the required algorithm or model not be readily available, you may want to consider developing it yourself.

Your Master's assignment could involve investigating questions such as:

  • Can supermarkets reduce waste by better estimating the demand for fresh products?
  • How do you optimize your impact on Twitter?
  • Can you have EEGs analyzed by a computer in order to improve the diagnosis of epilepsy?
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