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.
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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
Numerus Fixus
No Numerus Fixus
Without numerus fixus.
Tuition fee 2023/2024
EU/EEA
The EU/EEA rate is the regular fee for students from within the EU/EEA.
€ 2,314
Admission
Application requirements
To get admission to the Master's in Computing Science, you'll need a Bachelor's degree in Computing Science or in Artifical Intelligence.
Students must have passed (preliminary) examinations containing the following subject matter: Variety of these mathematical courses, at least 12 credits: Calculus, Linear algebra, Logic, Discrete mathematics, Statistics, Probability theory, Combinatorics.. Variety of these theoretical computing science courses, at least 6 credits: Languages and Automata, Computability, Semantics, Functional programming, Proof systems, Software Verification, Machine Learning, and desirably Complexity theory. Basi
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 | |
|---|---|
| € 2,314 | |
Non-EU/EEAThe non-EU/EEA rate is the rate for students from outside the EU/EEA. |
Information not available |
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 '23 | 1 Jul '23 | 1 Apr '23 |
| 1 Sep '24 | 1 Jul '24 | 1 Apr '24 |
Scholarships
You can check if you're eligible for scholarships that apply to this course.
Orange Knowledge Programma (OKP)
The Orange Knowledge Programme aims to contribute to a society's sustainable and inclusive development. Its scholarships are open to mid-career professionals in specific countries.
Fullbright-Radboud Scholarships
Global Education Programme
Orange Tulip Scholarship - Indonesia
These customised scholarships will increase the talent development in a country with a Nuffic Neso office by allowing talented students to study in the Netherlands.
Contact
Main addressComeniuslaan 4
6525 HP Nijmegen
024 - 3612345
Ready to apply?
Visit course website