Statistics & Data Science (MSc) 24 months Postgraduate Programme By Leiden University |TopUniversities
Programme Duration

24 monthsProgramme duration

Tuitionfee

23,300 EURTuition Fee/year

Starting Month

Feb, SepStarting Month

Programme overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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.

Read more about Statistics and Data Science on the Leiden University website

Programme overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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.

Read more about Statistics and Data Science on the Leiden University website

Admission Requirements

180+
90+
6.5+
To be eligible for one of Leiden University’s master's programmes, you must meet the following admission requirements: Academic, Language and Programme-specific. For Academic requirements: You’ll need a BA or BSc degree (or equivalent and preferably associated to the field of study) to be admitted to any of Leiden University’s master’s programmes. For Language requirements: Admission to most master’s programmes requires students to be proficient in English. For Programme-specific requirements: The specific academic and professional entry requirements for each master’s programme are listed in each programme's website - please check with each programme's site to learn more about the programme-specific requirements.

2 Years
Feb
Sep

Tuition fees

Domestic
2,771 EUR
International
23,300 EUR

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

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Frequently Asked Questions

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.

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.

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.

  • Applied Statistician

English language requirements: IELTS 6.5, minimum 6.5, with a minimum of 6.0 for each of the components Listening, Reading, Writing and Speaking; TOEFL internet-based 90, internet based 90, with a minimum of 20 for each of the components Listening, Reading, Writing and Speaking; Cambridge English 180, Cambridge English Exam C2 Proficiency, or C1 Advanced with an overall score of 180, with a minimum of 169 for each individual subsection; Cambridge English 180, Cambridge English Exam C2 Proficiency, or C1 Advanced with an overall score of 180, with a minimum of 169 for each individual subsection.

  • Leiden University Excellence Scholarship (LExS)
  • StuNed Scholarship Programme
Postgrad Programmes 340

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