| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| Master | Full-time | 2 years | September | EUR 2500 per semester | EUR 7500 per semester |
Big Data can provide important insights into business processes and uncover opportunities to cut costs and increase efficiency. Furthermore, data analytics enables organisations to effectively target specific audiences and to adapt product characteristics based on customer preferences. It can also be used to improve the decision-making process.
Yet despite the big potential of Big Data, many companies are blind to the value of the data they create.
It’s time for that to change - and our Data Science programme equips you with the skills to drive this change.
What you will gain
Our interdisciplinary programme is designed to cover both the theoretical and the practical. We use a combination of face-to-face workshops, group activities, and hands-on exercises to cover everything from the basics of data analysis to such specific skills as:
The programme also includes ample opportunities to acquire the business and entrepreneurial skills. This includes the chance to apply your new skills and knowledge towards bringing a really innovative solution to the market and developing a successful business model.
Unlock new career opportunities
Careers in data science are simply exploding. You will leave this programme having the training and skills needed to unlock a range of career opportunities. Our Data Science graduates can be found working in open innovation settings and leading technology companies. Some have even gone on to launch their own successful start-ups and consultancies.
Ready to join their ranks? Then enrol today and start driving the digital transformation with Data Science!
Our Data Science Master’s programme is open to applicants with either a Bachelor of Science degree or who are in their final year of study in:
Studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics, including calculus, algebra, and mathematical statistics. In some circumstances, relevant work experience may compensate for a lack of a relevant degree. Such work experience should be justified in your letter of motivation.
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