Master of Science in Data Science
Interdisciplinary master’s programme blending informatics, mathematics, statistics, and data analysis for real-world big data challenges.
Best for:Best for graduates with a background in computer science, mathematics, statistics, or related fields who seek to specialise in data science and apply analytical techniques to complex, real-world problems.
Overview
This two-year Master of Science in Data Science at the Norwegian University of Life Sciences combines informatics, mathematics, statistics, and data analysis to equip students with advanced analytical skills. The programme focuses on solving complex, real-world problems using big data across technology, environmental and life sciences, business, and economics. Students will deepen their expertise in core disciplines while applying their knowledge to diverse application areas. The curriculum emphasizes hands-on learning, preparing graduates for careers in data-driven industries or further research. No prior research experience is required, but a strong foundation in quantitative methods is essential.
What you'll do
- Develop advanced skills in data analysis, statistical modeling, and computational techniques to address complex real-world problems.
- Apply mathematical and statistical methods to process and interpret large datasets from diverse fields such as technology, environmental sciences, and economics.
- Engage in hands-on projects that integrate informatics, mathematics, and data analysis to solve interdisciplinary challenges.
- Collaborate with peers and faculty to explore innovative applications of big data in various sectors.
- Conduct independent research and analysis as part of coursework, culminating in a master’s thesis.
- Utilize data visualization tools to communicate findings effectively to both technical and non-technical audiences.
Requirements
Degree required: Bachelor’s degree in computer science, mathematics, statistics, informatics, or a related quantitative field. Applicants with degrees in natural sciences, engineering, or economics may also qualify if they have relevant coursework in mathematics or statistics.
Degree offered: Master of Science (MSc)
Language: English proficiency; IELTS 6.5 or equivalent (TOEFL 90 or similar) if applicable
Instruction: English
- Strong foundation in mathematics and statistics
- Basic programming skills (e.g., Python, R, or similar)
- Ability to work with large datasets and complex data structures
- Problem-solving and analytical thinking
- No specific nationality restrictions
- Applicants must meet the university’s general admission requirements for master’s programmes
- No age restrictions
- No prior research experience required
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application through the university’s official portal. Required documents include a completed application form, academic transcripts, proof of English proficiency (if applicable), a statement of purpose, and a CV. Additional documents such as letters of recommendation may be requested depending on the applicant’s background.
- Completed application form
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (if applicable)
- Statement of purpose
- CV (Curriculum Vitae)
Contact
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