Data Science
Master
This Master's specialisation will teach you how to turn real-world data sets into tools and useful insights, with the help of software and algorithms.
Data plays a role in almost every scientific discipline, business industry or social organisation. Medical scientists sequence human genomes, astronomers generate terabytes of data per hour with huge telescopes and the police employ seismology-like data models that predict where crimes will occur. And of course, businesses like Google and Amazon are shifting user preference data to fulfil desires we don't even know we have. There is therefore an urgent need for data scientists in whole array of fields. In the Master's specialisation in Data Science you'll learn how to turn data into knowledge with the help of computers and how to translate that knowledge into solutions.
Although this Master's is an excellent stepping-stone for students with ambitions in research, most of our graduates work as data consultants and data analysts for commercial companies and governmental organisations.
Ready to apply?
Visit course websiteLanguage
English
Title
Master of Science
Duration
2 years
ECTS credits
ECTS
The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken by mobile students through the transfer of credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.
Accreditation
Tuition fee 2025/2026
EU/EEA
The EU/EEA rate is the regular fee for students from within the EU/EEA.
€ 2,601
Non-EU/EEA
The non-EU/EEA rate is the rate for students from outside the EU/EEA.
€ 2,601
Admission
Admission URL
Application requirements
To get admission to the specialisation Data Science you'll need a Bachelor's degree in Computing Science or in Artifical Intelligence. We also encourage students in natural sciences, such as Chemistry, Biology, and Physics, with a keen interest in data analytics and proven mathematical and programming skills, to apply for the specialisation Data Science.
Language requirements
- C1
- Cambridge Certificate in Advanced English
- 6.5
- IELTS overall band
- 90
- TOEFL internet based
Check when you can start and what you have to pay!
| Tuition fees | |
|---|---|
| € 2,601 | |
| € 2,601 | |
InstitutionalThe institutional rate is for all students who have already obtained a bachelor’s or master’s degree and who want to start a second programme leading to a degree at the same level or at a lower level. |
Information not available |
| Start date | App. deadline EU/EEA | App. deadline Non-EU/EEA |
|---|---|---|
| 1 Sep '25 | 1 Jul '25 | 1 Apr '25 |
| 1 Sep '26 | 1 Jul '26 | 1 Apr '26 |
Scholarships
You can check if you're eligible for scholarships that apply to this course.
