Overview
The two-year master's programme Statistics and Data Science provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science, with a focus on applications in the life and behavioral sciences!
The master aims to educate multidisciplinary researchers and professionals that can combine theory and application. The programme consists of a core set of courses shared by all students and elective courses which allow students to specialize in a certain application area or research domain such as Medical Statistics, Data Science, Psychometrics and Sociometrics and Official Statistics (the EMOS specialization).
You will gain knowledge of statistics and data science methods as used in the life and behavioral sciences, and obtain practical skills such as programming, consultation, and written and oral communication of research results.
This programme is a joint collaboration between three faculties of Leiden University: The Faculty of Science (FWN), the Leiden University Medical Centre (LUMC) and the Faculty of Social and Behavioural Science (FSW), and the Biometris institute of Wageningen University & Research (WUR).
Together these institutes have expertise in a wide area of statistics and data science.
What you will learn
The goal of the programme is to provide the students with a broad training in applied statistics and data science and their role in science and society. The graduates will be able to apply their knowledge and understanding critically, independently, and structurally to model and evaluate complex phenomena arising in a variety of situations. They will be well equipped to pursue a career in science, in industry or in the public sector. Qualification to become a PhD candidate is a definite possibility.
Students will gain a thorough knowledge and understanding of statistical models and techniques, which will allow them to develop new statistical and data science methods with application to a broad range of research fields.
Students learn practical skills such as programming, statistical consultation, and written and oral presentation of analysis and research results.
Career prospects
Students graduated in Statistics and Data Science are in high demand: almost all students find jobs within six months after graduation, but a large group is immediately employed! About half of the students find jobs at companies and research institutes outside university, and the other half start a PhD project.
There is a large demand for applied statisticians and data scientists at both the master's and the PhD level. Job opportunities can be found in, but are not limited to, biomedical research institutes, health care, TNO Institutes, agricultural research institutes and companies, bio-technology companies, pharmaceutical industry, educational testing service (ETS, CITO), the national institute of public health and the environment (RIVM), social survey institutes such as Statistics Netherlands (CBS), the Social and Cultural Planning Office (SCP), the National Forensic Institute (NFI), marketing companies, banking, food industry and other industries.
Examples of jobs
- Applied Statistician
- Data Scientist
Accreditation
Accredited by NVAO, the Accreditation Organisation of the Netherlands and Flanders.
Programme Structure
How you will learn
Courses combine lectures and hands-on tutorials. Most courses include assignments, a project and/or presentations. During the Statistical Consulting course, you will meet and work with researchers from different application fields. The thesis project can be conducted inside or outside of university and may be an academic project on a methodological topic, or an applied project where a nonstandard data analysis is carried out.
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , EEA/EU
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- Starting
- Apply before , International
- Apply before , National
- Apply before , EEA/EU
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- Starting
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Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
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Credits
Delivered
Campus Location
- Leiden, Netherlands
Disciplines
Natural Sciences Statistics Data Science & Big Data View 63 other Masters in Data Science & Big Data in NetherlandsWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
If you have a bachelor’s degree from a foreign research university with a level similar to Dutch universities, you are eligible to apply under the condition that you have
- basic knowledge of calculus (equivalent to the Dutch: vwo Wiskunde B) and
- accumulated at least 20 EC (or the equivalence thereof) in courses/projects in statistics/ methodology and/or mathematics.
The aforementioned courses/projects must have been concluded with an average mark of at least 7.5/10 (or GPA ≥ 3.4).
Tuition Fees
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International Applies to you
Applies to youNon-residents23300 EUR / year≈ 23300 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals2771 EUR / year≈ 2771 EUR / year
Living costs
Leiden
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Scholarships you can apply for with this programme:
- Leiden University Excellence Scholarship (LExS)
- StuNed Scholarship Programme
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Scholarships Information
Below you will find Master's scholarship opportunities for Statistics and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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