PhD Monitor
/Detail
Social Sciences, Biomedical Sciences, and Statistics● OpenMastersPreview

Master of Science in Methodology and Statistics for Behavioural, Biomedical and Social Sciences

A multidisciplinary master’s programme equipping students with advanced research design, data collection, and statistical analysis skills for biomedical, behavioural, and social sciences.

Best for:Best for students with a bachelor’s degree in social sciences, biomedical sciences, or related fields who want to specialise in advanced research methodology and statistical analysis for interdisciplinary empirical research.

Utrecht University · Utrecht, Netherlands
More professors at Utrecht University
Research design and methodologyData collection techniquesStatistical analysis methodsEmpirical research qualityInterdisciplinary research approaches
This is a masters position — not a PhD studentship.
Deadline
Apr 1, 2027
169 days
Funding
—
2 years
Start date
Flexible (typically aligned with programme intake)
Location
Utrecht
Netherlands

Overview

This Master of Science programme at Utrecht University provides rigorous training in research methodology and statistical analysis tailored to biomedical, behavioural, and social sciences. Students explore interdisciplinary approaches to research design, data collection, and advanced statistical techniques, ensuring high-quality empirical research. The curriculum integrates social science methodology with complex analytical methods, preparing graduates for careers in academia, research institutions, or policy-making. Ideal for those seeking a strong foundation in interdisciplinary research practices and statistical tools, the programme emphasizes both theoretical knowledge and practical application.

Research methodologyStatistical analysisEmpirical researchSocial sciencesBiomedical sciencesData collectionInterdisciplinary researchAcademic research training

What you'll do

  • Develop and implement research designs tailored to behavioural, biomedical, and social science studies.
  • Collect and manage empirical data using advanced methodologies and tools.
  • Apply statistical techniques to analyse complex datasets and derive meaningful insights.
  • Evaluate and improve the quality of empirical research through methodological rigor.
  • Engage in interdisciplinary collaboration to address research questions across multiple scientific domains.
  • Conduct independent research projects under academic supervision, culminating in a master’s thesis.

Requirements

Degree required: Bachelor’s degree in Social Sciences, Biomedical Sciences, Psychology, or a related field.

Degree offered: Master of Science (MSc)

Language: English; proficiency sufficient for academic study and research.

Instruction: English

Required skills
  • Strong foundation in quantitative research methods and statistics.
  • Ability to design and execute empirical research projects.
  • Proficiency in data collection and management techniques.
  • Analytical skills for interpreting complex datasets.
  • Familiarity with interdisciplinary research approaches.
Nice to have
Experience with statistical software (e.g., R, SPSS, Stata).Background in programming or data analysis tools.Prior research experience in social or biomedical sciences.
Eligibility
  • Open to international applicants.
  • No specific nationality or residency restrictions.
  • No age restrictions.

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2027-04-01

Applicants must submit their application through Utrecht University’s official online portal. Required documents include a CV, a motivation letter, academic transcripts, and proof of English proficiency. Additional documents may be requested depending on the applicant’s background.

Documents required
  • Curriculum Vitae (CV)
  • Motivation letter
  • Academic transcripts (Bachelor’s degree)
  • Proof of English proficiency (e.g., IELTS, TOEFL)
  • Passport-sized photo (if required)
  • Reference letters (if applicable)
↗Check programme and admissions

Contact

Lab
Faculty of Social and Behavioural Sciences
Utrecht University
Netherlands
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.