Master’s in Stochastic Modelling, Statistics and Risk Analysis
Develop mathematical and computational tools to model risk, analyze data, and solve real-world problems in finance, medicine, and industry.
Best for:Best for mathematics, statistics, or computer science graduates seeking to specialize in quantitative risk analysis, data science, or financial modelling with hands-on industry applications.
Overview
This two-year Master’s programme at the University of Oslo equips students with advanced skills in stochastic modelling, probability, statistics, and computer science. Graduates learn to apply mathematical frameworks to address challenges in fields like healthcare, biotechnology, finance, and insurance. The curriculum offers two specializations: *Finance, Insurance and Risk* (focusing on risk analysis and economic modelling) and *Statistics* (emphasizing data-driven knowledge extraction). The programme blends theoretical rigor with practical applications, supported by Norway’s vibrant research communities and opportunities for international exchange. Career paths include roles in industry, public sector, or further research, including PhD studies.
What you'll do
- Study advanced mathematical and statistical theories to model uncertainty and risk in real-world scenarios.
- Develop computational tools and algorithms for data analysis, risk assessment, and decision-making.
- Apply stochastic models to solve problems in finance, medicine, insurance, and biotechnology.
- Conduct independent research for a master’s thesis, often linked to industry or public-sector challenges.
- Engage in collaborative projects with peers and faculty to refine analytical and problem-solving skills.
- Participate in international exchange programmes or fieldwork during the second or third semester.
Requirements
Degree required: Bachelor’s degree in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field (180 ECTS credits).
Degree offered: Master of Science (120 ECTS credits)
Language: English proficiency (equivalent to B2/C1 level).
Instruction: English
- Strong foundation in calculus, linear algebra, and probability theory.
- Familiarity with statistical software (e.g., R, Python, MATLAB).
- Analytical and problem-solving skills for quantitative challenges.
- Basic programming proficiency (Python, R, or similar).
- Ability to work independently and collaboratively in academic settings.
- Open to international applicants; no nationality restrictions.
- No age limit or residency requirement for admission.
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application through the University of Oslo’s online portal. Required documents include a CV, transcripts, proof of English proficiency, a statement of purpose, and letters of recommendation. The application process is competitive, and selection is based on academic merit and relevance of background.
- CV
- Official transcripts (Bachelor’s degree)
- Proof of English proficiency (e.g., TOEFL, IELTS)
- Statement of purpose
- Letters of recommendation (2-3)
- Passport-sized photo
Contact
Admissions Office· Study Programme Coordinator
https://www.uio.no/english/studies/programmes/stochastic-modelling-master/
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