| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| MSc | Full-time, Part-time | 2 years | September | - | - |
The Master of Science in Statistics and Data Science is offered by the Leuven Statistics Research Centre (LStat), a privileged meeting space for statistics and data science researchers from a range of different domains and a stimulating environment for multidisciplinary statistical and data science research. You'll be trained intensively in both the theoretical and practical aspects of statistics and data science. The programme will help you develop a problem-solving attitude and teach you how to apply statistical methodology.
The Master of Science in Statistics and Data Science programme consists of 120 ECTS points. The standard study time is two years but can be substantially reduced based on one's background knowledge and previous grades. Furthermore, you have the possibility to spread the programme over 3 or more years. We welcome working students and provide accommodations to make the combination feasible.
To tailor-make the programme to your needs and interests, you can choose one of the tracks:
The programme can be followed either on campus in Leuven or in an online/blended format. When you choose the online/blended format, it is possible to compose your programme by only selecting courses that are offered fully online, and to graduate from the programme without ever coming to Leuven.
As statistician and data scientist, you may find yourself designing clinical trials and supporting the biomedical sector, setting up and analysing psychological tests and surveys, performing financial risk analyses, statistically managing R&D projects and quality controls, developing statistical software, working in academics,... The applications of statistics and data science are very diverse, just like your professional options. In our programme, you will gain all the necessary experience and insights to efficiently complete data related challenges in any professional context. We are delighted to welcome you.
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