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Mathematics and Computer Science● OpenMastersPreview

MSc in Statistics

A two-year Master's programme exploring probability theory, theoretical statistics, and practical data processing at the University of Copenhagen.

Best for:Best for students with a strong background in mathematics or computer science who wish to master advanced data processing and statistical modeling.

University of Copenhagen (UCPH) · Copenhagen, Denmark · R1 · First-stage researcher
More professors at University of Copenhagen (UCPH)
Probability theoryTheoretical statisticsPractical data processingApplied computer scienceStatistical methodology
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years
Start date
flexible
Location
Copenhagen
Denmark

Overview

The MSc in Statistics at the University of Copenhagen is a comprehensive two-year degree programme designed to teach students how to handle and control uncertainty across complex data environments. The curriculum merges probability theory, theoretical statistics, and practical data processing to provide a rigorous foundation in applied computer science and mathematical modeling. Students learn to translate mathematical models into real-world applications while gaining crucial insights into specialized domain fields. Graduates are equipped for high-demand careers where advanced statistical methodologies and multidisciplinary data collaboration are essential.

StatisticsMaster's programmeData scienceProbabilityUncertainty modelingUniversity of Copenhagen

What you'll do

  • Complete coursework covering probability theory, theoretical statistics, and applied computer science
  • Analyze complex data sets and develop advanced statistical models for diverse research projects
  • Collaborate with multidisciplinary teams to solve applied data and uncertainty problems
  • Design and execute a master's thesis research project integrating theoretical and practical statistical methods

Requirements

Degree required: BSc degree or equivalent qualification in mathematics, computer science, or a related quantitative field

Degree offered: MSc

Language: English proficiency as required by the university's admission guidelines

Instruction: English

Required skills
  • Foundational knowledge in mathematics and probability
  • Basic background in programming or data processing
  • Analytical mindset for problem-solving involving uncertainty
Nice to have
Prior coursework in theoretical statisticsExperience with applied data analysis tools
Eligibility
  • Applicants must meet general university admission standards for master's degree programmes in Denmark

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

Submit your application through the official university portal by providing all required academic transcripts and proof of qualifications. Ensure all supporting documents are prepared according to the guidelines specified on the application portal.

Documents required
  • BSc transcripts
  • Proof of language proficiency
  • CV
↗Check programme and admissions

Contact

Lab
City Campus
University of Copenhagen (UCPH)
Denmark
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.