Master of Science in Data Science
Interdisciplinary master’s programme combining statistics, computer science, and mathematics for data-driven problem-solving.
Best for:Best for graduates with a strong background in mathematics, statistics, or computer science seeking to specialise in data-driven problem-solving and interdisciplinary research.
Overview
The Master of Science in Data Science at the University of Oslo equips students with the skills to extract meaningful insights from vast and diverse datasets. This two-year programme integrates core areas such as probability theory, machine learning, algorithms, and database management, preparing graduates to tackle real-world challenges in sectors like medicine, finance, and environmental science. Students engage in hands-on projects, often linked to industry and public sector collaborations, and can specialise in areas such as statistics, machine learning, or life sciences. The programme fosters both theoretical understanding and practical application, culminating in a master’s thesis addressing industry or research-based problems. Students also benefit from a vibrant academic community and opportunities for international exchange.
What you'll do
- Develop a deep methodological understanding of data science principles, including probability theory, statistical inference, and machine learning algorithms.
- Apply theoretical knowledge to practical challenges through hands-on projects and real-world datasets from industry, public sector, or scientific disciplines.
- Conduct independent research and contribute to a master’s thesis addressing a specific problem in collaboration with academic or industry partners.
- Engage in interdisciplinary learning by integrating knowledge from statistics, computer science, and general mathematics.
- Participate in group projects and collaborative work, fostering teamwork and communication skills within a diverse academic community.
- Utilise modern data collection techniques and tools to process and analyse large-scale datasets efficiently.
Requirements
Degree required: Bachelor's degree in a relevant field such as mathematics, statistics, computer science, or a related discipline.
Degree offered: Master of Science (MSc)
Language: English proficiency; no specific test score mentioned but typically expected for international applicants.
Instruction: English
- Strong foundation in mathematics, including probability theory and statistics.
- Basic knowledge of computer science, including algorithms and programming.
- Ability to work independently and collaboratively on research projects.
- Familiarity with data collection, processing, and analysis techniques.
- Open to international applicants; no specific nationality restrictions mentioned.
- No age restrictions or prior experience caps.
Funding & terms
Programme and admissions
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How to apply
Applicants must apply through the official University of Oslo application portal. The process involves submitting academic transcripts, a statement of purpose, and proof of English proficiency if applicable. A mandatory welcome meeting for new students is held at the start of the semester.
- CV or resume
- Academic transcripts and degree certificates
- Statement of purpose or research proposal
- Proof of English proficiency (if required)
- Letter of recommendation (number not specified)
Contact
Admissions Office· Programme Coordinator
https://www.uio.no/english/studies/programmes/datascience-master/
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