| Programme details | |
|---|---|
| Degree: | Master of Science (MSc) |
| Disciplines: |
Data Science & Big Data
Artificial Intelligence |
| Duration: | 2 years |
| ECTS points: | 120 |
| Study modes: | full-time |
| Delivery modes: | on-campus |
| University website: | Computing Science: Data Science and AI |
| Annual tuition (EEA) |
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| Annual tuition (non-EEA) |
(change) |
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Data plays a role in almost every scientific discipline, the corporate sector and social organisations. This Master of Science in Computing Science: Data Science and AI will teach you how to transform data into knowledge and solutions using modern machine learning and AI techniques.
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 society. Most of our graduates work as data consultants and data analysts for commercial companies and governmental organisations.
The Master's specialisation in Data Science and AI trains you to become a curious, creative, and competent data scientist. As an academic, we do not just expect you to understand and make use of the appropriate tools, but also to program and develop your own.
You will follow core courses in machine learning, information retrieval, and probabilistic modeling, and can then delve deeper into different application areas such as natural language processing, medical pattern recognition, neuroimaging, business rules and/or bioinformatics. You’ll learn how to turn data into knowledge with the help of computers and how to translate that knowledge into solutions.
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.
Visit the website of Radboud University to find out how to apply and start your study-abroad adventure in the Netherlands! 🙌