Data Science
Radboud Universiteit
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.
open_in_newstudy website
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.
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.
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 onderwijs | 100% en |
---|---|
avondonderwijs | n.v.t. |
afstandsonderwijs | n.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 socistudy 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 informatiekundeKeuzehulp
Studievergelijker
1/7 Radboud University Nijmegen
Data Science
Data Science
€ 315 gemiddelde kamerhuur |
12 eerstejaars |
25% vrouw |
? uur contacttijd/week |
2/7 Radboud University Nijmegen
Mathematical Foundations of Computing Science
Mathematical Foundations of Computing Science
€ 315 gemiddelde kamerhuur |
3 eerstejaars |
33% vrouw |
? uur contacttijd/week |
3/7 Radboud University Nijmegen
Computing Science
Computing Science
star Elsevier |
€ 315 gemiddelde kamerhuur |
12 eerstejaars |
25% vrouw |
? uur contacttijd/week |
4/7 Radboud University Nijmegen
Software Science
Software Science
€ 315 gemiddelde kamerhuur |
12 eerstejaars |
25% vrouw |
? uur contacttijd/week |
5/7 Radboud University Nijmegen
Cyber Security and AI
Cyber Security and AI
€ 315 gemiddelde kamerhuur |
? eerstejaars |
NAN% vrouw |
? uur contacttijd/week |
6/7 Radboud University Nijmegen
Cyber Security
Cyber Security
€ 315 gemiddelde kamerhuur |
3 eerstejaars |
33% vrouw |
? uur contacttijd/week |
7/7 University of Groningen
Computing Science
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
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
instelling | opleiding | instroomeisen |
---|---|---|
Eindhoven University of Technology | Leraar VHO Informatica educational | |
Delft University of Technology | Leraar VHO Informatica educational |
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
Contact
Dr. Perry Groot
Student advisor; for programme-related questions
Admission Office
For general questions and questions on the admission procedure for international students