• FindA University Ltd Featured Masters Courses
  • Swansea University Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Ulster University Featured Masters Courses
  • University of Leeds Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Cambridge Featured Masters Courses
  • Jacobs University Featured Masters Courses
University of London International Programmes Featured Masters Courses
Ulster University Featured Masters Courses
Queen Mary University of London Featured Masters Courses
Cass Business School Featured Masters Courses
FindA University Ltd Featured Masters Courses


Course Description

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
among a number of approaches: biometrics, social behavioural and educational statistics, business statistics, industrial statistics, general statistical methodology, or an all-round statistics profile. 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! This programme is offered in collaboration with the MSc in Statistics at Hasselt University.

This is an initial Master's programme and can be followed on a full-time or part-time basis.


The objective of the programme is to offer wide-ranging training in statistics at a high scientific level aimed at a number of specific application fields: biomedical statistics, statistics used in the social, behavioural and educational sciences, statistics used in a business or government environment, and statistics used in industry. In addition, students may choose to follow a methodology-focussed or all-around option.

The aim is to train students intensively in both theoretical and practical aspects of statistics, bring them in contact with basic concepts and methods and create a problem-solving attitude with the aid of statistical methodology.

Lastly, the programme aims to bring the student in contact with the different ways in which statistics is used in the various disciplines. This is realised in the different options, each of which is aimed at a particular application area and encompasses the most important statistical techniques used in this area. In this way, the student develops insight into the various approaches, gains an idea of statistics as a discipline, and masters domain-specific methods.

The available options are: Biometrics, Social Behavioural and Educational Statistics, Business Statistics, Industrial Statistics, General Statistical Methodology and All-around Statistics.

The intended learning outcomes are:
- To have gained thorough knowledge of a wide range of current statistical techniques and their mutual relations;
- To have extended one's knowledge of the above with an emphasis on the underlying theory;
- To have acquired enough background knowledge linked to the chosen specialisation to be able to work as a statistical consultant vis-à-vis colleagues in the same specialisation;
- To be able to choose the most suitable analysis technique for a specific problem arising within the chosen specialisation;
- To have acquired the necessary oral and written communication abilities to read statistical scientific publications and software documentation, write statistical reports and deliver statistical presentations.
- To be able to search the scientific literature for publications relevant to the analysis, the background or the software solution of a statistical problem.
- To be able to apply these analysis techniques without help (using software packages), interpreting the results and communicating them to the requesting party;
- To be able to use theory creatively, in a theoretical as well as in an application-specific context, contributing in this way to scientific research;
- To perform the work of a statistician on an innovative and scientifically founded level, both as a student and as an alumnus.

Entry Requirements

Bachelor of Sciences; Bachelor of Applied Sciences and Engineering; Bachelor of Bioscience Engineering; Another Bachelor's degree with a sound introductory course in Statistics. Applicants who are non-native speakers of English must provide evidence of English language proficiency. For applicants from outside Belgium, comparability of the diploma is not always easily established. Certified copies of transcripts and diplomas are required for all applicants. Additional documentation is required for applicants from other universities as it is impossible for us to reliably assess the comparability. The Admissions Board has the final say on the admissibility of the student. More: www.kuleuven.be/admissions

Email Enquiry

Recipient: KU Leuven
Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.
Email Sent

Share this page:

Cookie Policy    X