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Computational Science and Data Science● OpenMastersPreview

Master of Science in Computational Science

Interdisciplinary master’s programme blending computational modelling, data science, and natural sciences for 21st-century problem-solving.

Best for:Best for students with a strong foundation in natural sciences or engineering who seek to specialise in computational methods and data-driven problem-solving across disciplines.

University of Oslo · Oslo, Norway
More professors at University of Oslo
Computational modellingHigh-performance computingData science and analyticsQuantum computing applicationsScientific and engineering simulationsMachine learning and data-driven discovery
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years (120 ECTS)
Start date
Flexible (typically autumn intake)
Full-time
Location
Oslo
Norway

Overview

The Master of Science in Computational Science at the University of Oslo is a cutting-edge, interdisciplinary programme designed to equip students with the skills to tackle complex scientific and engineering challenges through computational modelling and data analysis. Unlike traditional computer science programmes, this degree focuses on integrating computational methods with core disciplines such as physics, biology, geoscience, and mathematics. Students explore a wide range of topics, from high-performance computing and algorithm development to data-driven applications in bioscience, astrophysics, and quantum technology. The programme emphasizes hands-on learning, interdisciplinary collaboration, and the ability to design research projects that bridge multiple scientific fields. It also offers opportunities for international exchange and exposure to advanced tools, fostering a dynamic and innovative learning environment.

Computational ScienceData ScienceHigh-Performance ComputingInterdisciplinary ResearchScientific ModellingQuantum ComputingMachine LearningNatural Sciences Applications

What you'll do

  • Develop and apply computational models to solve complex problems in natural sciences and engineering.
  • Conduct research and design thesis projects that integrate computational methods with disciplines such as physics, biology, geoscience, or mathematics.
  • Learn and utilise high-performance computing techniques and tools for data analysis and simulation.
  • Collaborate with interdisciplinary teams to explore innovative solutions to scientific challenges.
  • Engage in international exchange programmes and collaborative research with leading institutions worldwide.
  • Develop skills in data-driven discovery, including identifying trends and patterns in large datasets.
  • Participate in a vibrant learning environment with access to cutting-edge resources and research opportunities.

Requirements

Degree required: Bachelor’s degree in a relevant field such as natural sciences, engineering, mathematics, physics, biology, geoscience, or computer science.

Degree offered: Master of Science (MSc)

Language: English proficiency (equivalent to B2/C1 level or higher)

Instruction: English

Required skills
  • Strong foundation in mathematics and natural sciences
  • Basic programming skills (e.g., Python, C++, or similar)
  • Interest and aptitude for computational modelling and data analysis
  • Ability to work collaboratively in interdisciplinary teams
Nice to have
Experience with high-performance computing environmentsFamiliarity with machine learning or data science toolsPrior exposure to research in computational or applied sciences
Eligibility
  • Open to international applicants
  • No specific nationality restrictions
  • No age restrictions
  • No prior work experience required

Funding & terms

Type
Unknown
Amount
—
Duration
2 years (120 ECTS)
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: Varies by intake (typically March 1st for autumn intake)

Applicants must apply through the University of Oslo’s official application portal. The process involves submitting academic transcripts, a statement of purpose, letters of recommendation, proof of English proficiency, and a CV. Detailed instructions and deadlines are available on the programme’s webpage.

Documents required
  • Bachelor’s degree transcripts and diploma
  • Statement of purpose or research proposal
  • Letters of recommendation (typically 2)
  • Proof of English proficiency (e.g., TOEFL, IELTS)
  • CV or curriculum vitae
  • Passport-sized photo (if required)
↗Check programme and admissions

Contact

Lab
Computational Science Programme
University of Oslo
Norway
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.