Looking for high-quality training in statistics for research or for professional life? If so, consider KU Leuven's MSc in Statistics, an interdisciplinary programme whose teaching is grounded in internationally-recognised research. Choose from a number of approaches: biometrics, social behavioural and educational statistics, business statistics, industrial statistics, general statistical methodology, or an all-round statistics profile.
What is the Master of Statistics all about?
This master’s programme is offered by the Leuven Statistics Research Centre (LStat) of KU Leuven. It is accredited by the Royal Statistical Society. You’ll be trained intensively in both the theoretical and practical aspects of statistics. The programme will also help you develop a problem-solving attitude and teach you how to apply statistical methodology.
This is an initial Master's programme and can be followed on a full-time or part-time basis.
The 120-ECTS programme consists of a common core curriculum (one semester), option-specific courses (one semester), elective courses (one semester), and a master’s thesis.
- Common core curriculum (30 ECTS): these course are compulsory for every student.
- Option-specific courses (min. 32 ECTS). Within your selected option, you choose courses worth a total of minimum 32 ECTS.
- Elective courses (30 ECTS)
To tailor the programme to your needs and interests, you choose one of the following options:
- Social, Behavioural, and Educational Statistics;
- Business Statistics;
- Industrial Statistics;
- General Statistical Methodology;
- Official Statistics;
- All-round Statistics.
LStat hosts international experts and is a stimulating environment for multidisciplinary statistical research. LStat is a privileged meeting space for statistics researchers from a range of domains:
- Social, Behavioural and Educational Statistics;
- Business and Industrial Statistics;
- Statistical Methodology.
The master of Statistics:
KNOWLEDGE AND INSIGHT
- possesses thorough knowledge of and insight in the field of Statistics
- has a perspective on the research and consulting aspects of one or more statistical fields within at least one of the following: biometry, industrial statistics, social behavioral and educational statistics, business statistics, statistical methodology, official statistics.
- understands similarities and differences between different statistical methodology and practice across different sub-fields of statistics.
APPLYING KNOWLEDGE AND INSIGHT
- has the competences and the insight to take the following steps in their own scientific research within a research team
- can handle scientific quantitative research questions in the application area, independently, effectively, creatively, and correctly using state-of-the-art design and analysis methodology and software.
- has the skills and the habit to assess data quality and integrity.
- is aware of the ethical, moral, legal, policy making, and privacy context of statistics and shows conduct accordingly.
DEVELOPING AN OPINION
- appreciates the international nature of the field of statistical science.
- is aware of the societal relevance of statistics.
- can critically appraise methodology and challenge proposals for reported results of data analysis.
- can work in an intercultural, and international team, and understands the need and importance of working in a multidisciplinary team.
- is an effective written and oral communicator, as well as an effective negotiator, both within their own field as well as towards other disciplines in the context of multidisciplinary projects.
- is aware of the common stakeholders and the need for assertive and empathic interaction with them.
- is capable of acquiring new knowledge.
DEPENDING ON THE CHOSEN OPTION, THE STUDENT MASTERS FOLLOWING ADDITIONAL LEARNING OUTCOMES:
- the master can act as a statistical consultant to subject-matter scientists and practitioners or/and as a collaborative researcher in an area of specialisation.
As statistician, you'll be recruited by industry, banks or government institutions. You may find yourself designing clinical trials and supporting the biomedical sector, coaching research for new medicines, setting up and analysing psychological tests and surveys, performing financial risk analyses, statistically managing R&D projects and quality controls, or developing statistical software. And don't forget the academic world. The applications of statistics are very diverse, just like your professional options.