Data Science

Radboud Universiteit

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Deze opleiding

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.

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locatieNijmegen
diplomaMSc
typeregulier, 120 EC
start1 september
taalvolledig English
opleidingsduur2 jaar voltijd
accreditatiesNVAO
croho-code60364
numerus fixusnee
honoursnee
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.

Waarom aan de Radboud University Nijmegen?

This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval.
We're leading in research on legal and privacy aspects of data science and on the impact of data science on society and policy.
  • Our approach is pragmatic as well as theoretical. As an academic, we don't just expect you to understand and make use of the appropriate tools, but also to program and develop your own.
  • Because of its relevance to all kinds of different disciplines, we offer our students the chance to take related courses at other departments like at language studies (information retrieval and natural language processing), artificial intelligence (machine learning for cognitive neuroscience), chemistry (pattern recognition and chemometrics) and biophysics (machine learning and optimal control).
  • The job opportunities are excellent: some of our students get offered jobs before they've even graduated and almost all of our graduates have positions within six months after graduating.
  • Exceptional students who choose this specialisation have the opportunity to study for a double degree in Computing Science together with the specialisation in Web and Language Interaction (Artificial Intelligence). This will take three instead of two years.


Onderwijs

taal van onderwijs100% en
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afstandsonderwijsn.v.t.
objectives
A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data, to come up with a creative and useful solution, to find or program the right tool to turn the data into knowledge, and to communicate the obtained findings to others. By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our soci
study abroad
You can choose to perform your elective courses or internship(s) abroad. There are for example close contacts with the Max Planck Institute in Germany. For other possibilities, you can always contact a lecturer or the student advisor.

Toelating en kosten

toelatingseisen

vooropleiding
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.

De stad

studievereniging

Thalia
studievereniging informatica en informatiekunde

Keuzehulp

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Studievergelijker

1/7 Radboud University Nijmegen
Data Science
€ 315 gemiddelde kamerhuur
12 eerstejaars
25% vrouw
? uur contacttijd/week
2/7 Radboud University Nijmegen
Mathematical Foundations of Computing Science
€ 315 gemiddelde kamerhuur
3 eerstejaars
33% vrouw
? uur contacttijd/week
3/7 Radboud University Nijmegen
Computing Science
star Elsevier
€ 315 gemiddelde kamerhuur
12 eerstejaars
25% vrouw
? uur contacttijd/week
4/7 Radboud University Nijmegen
Software Science
€ 315 gemiddelde kamerhuur
12 eerstejaars
25% vrouw
? uur contacttijd/week
5/7 Radboud University Nijmegen
Cyber Security and AI
€ 315 gemiddelde kamerhuur
? eerstejaars
NAN% vrouw
? uur contacttijd/week
6/7 Radboud University Nijmegen
Cyber Security
€ 315 gemiddelde kamerhuur
3 eerstejaars
33% vrouw
? uur contacttijd/week
7/7 University of Groningen
Computing Science
€ 303 gemiddelde kamerhuur
10 eerstejaars
10% vrouw
? uur contacttijd/week
disclaimer: bovenstaande cijfers en beoordelingen zijn aangeleverd door de opleidingen zelf. Wij kunnen de juistheid niet garanderen.

Na de studie

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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.

Beroepsperspectief / arbeidsmarkt

The job perspective for our graduates is excellent. Industry desperately needs data science specialists at an academic level, and thus our graduates have no difficulty in find an interesting and challenging job. A few of our graduates decide to go for a PhD and stay at the university, but most of our students go for a career in industry. They then typically either find a job at a larger company as consultant or data analysis, or start up their own company in data analytics.
Examples of companies where our graduates end up include SMEs like Orikami, Media11 and FlexOne, and multinationals like ING Bank, Philips, ASML, Capgemini, Booking.com and perhaps even Google.

aansluitende masteropleidingen

instellingopleidinginstroomeisen
Eindhoven University of TechnologyLeraar VHO Informatica educational
Delft University of TechnologyLeraar VHO Informatica educational
bron: doorstroommatrix.nl

Potentiële beroepen

adviseur interne controle en beveiliging informatievoorziening
architect technische infrastructuur ict
beleidsmedewerker ict
chief information officer
datawarehouse ontwikkelaar
hoofd beheer ict
hoofd systeemontwikkeling ict
hoogleraar informatica
ict-consultant
informatiemanager ict
manager servicedesk ict
projectleider ict
servicemanager ict
systeemontwerper
systeemontwikkelaar
systeemprogrammeur
universitair (hoofd)docent informatica
validatie engineer
wetenschappelijk onderzoeker informatica
bron: UWV

Contact

Dr. Perry Groot

Student advisor; for programme-related questions

E: computingscience@ru.nl
T: +31 24 365 20 37
Réka Goedhart-Kedves

Admissions officer; for questions about admission

Admission Office

For general questions and questions on the admission procedure for international students

E: admissionoffice@ru.nl
T: +31 24 362 34 56
Meer informatie?
Bezoek de website van deze opleiding.

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