Master of Statistics and Data Science (on campus)

KU Leuven Leuven Campus, Leuven, Belgium

Shortlist

24 monthsProgram duration

7,771 EURTuition Fee/year

YesScholarships

Data Science and Artificial IntelligenceMain Subject Area

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Master of Statistics and Data Science

The Master of Statistics and Data Sciences will help you develop a problem-solving attitude and teach you how to apply statistical methodology. You'll be trained intensively in both the theoretical and practical aspects of statistics and data science.

About the programme

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.

To tailor-make the programme to your needs and interests, you can choose one of the tracks:

Statistics and Data Science for Biometrics
Statistics and Data Science for Social, Behavioural and Educational Sciences
Statistics and Data Science for Business
Statistics and Data Science for Industry
Theoretical Statistics and Data Science
Interdisciplinary Statistics and Data Science
European Master of Official Statistics (EMOS, on-campus only)

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.

More information about the on-campus versus online/blended format

Career perspectives

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.

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Master of Statistics and Data Science

About the programme

To tailor-make the programme to your needs and interests, you can choose one of the tracks:

Statistics and Data Science for Biometrics
Statistics and Data Science for Social, Behavioural and Educational Sciences
Statistics and Data Science for Business
Statistics and Data Science for Industry
Theoretical Statistics and Data Science
Interdisciplinary Statistics and Data Science
European Master of Official Statistics (EMOS, on-campus only)

More information about the on-campus versus online/blended format

Career perspectives

Bachelor GPA

Admission criteria

To apply for the Master of Science in Statistics, candidates should (have) successfully obtain(ed) an academic bachelor’s degree with at least two courses in introductory statistics.

For the most recent – and only official – information on the admission requirements, please check our webpage.

Student profile

Do you have the ability to autonomously build a discourse based on disciplinary insights? The ability to contextualise and critically process scientific information? The knowledge of research methods and techniques and the ability to apply them within statistical disciplines, insight and involvement in ethical and societal questions? If so, then this is the master programme for you.
You should have obtained an academic bachelor's degree with a sound background in introductory statistics. Prospective students should also have cognitive skills, competencies and attitude expected of a master-level student.

Program Duration

2 Years

Starting Month(s)

Sep

Tuition fee and scholarships

Tuition Fee
Scholarships

Domestic Students

Tuition Fee/year

Tuition Fee (Out of State)

International Students

Tuition Fee/year

7,771 EUR

Other Expenses

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:

Where to look for scholarship opportunities

How to apply to scholarships relevant to you

A list of available scholarships around the world

A scholarship application checklist

Download Scholarship Guide

KU Leuven Leuven Campus, Leuven, Belgium

24 monthsProgram duration

7,771 EURTuition Fee/year

YesScholarships

Data Science and Artificial IntelligenceMain Subject Area

Program overview

Main Subject

Degree

Study Level

Study Mode

Program overview

Main Subject

Degree

Study Level

Study Mode

Admission requirements

Exam Scores

Important Dates

Tuition fee and scholarships

Tuition Fee

Scholarships

Domestic Students

International Students

In this guide you will find:

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