Master’s in Data Science for Business
A two-year interdisciplinary programme blending quantitative analytics, AI, and business strategy for data-driven decision-making.
Best for:Best for quantitative analysts, data scientists, and business professionals seeking to specialise in AI-driven decision-making with a strong foundation in economics, finance, and risk management.
Overview
This two-year Master’s programme at BI Norwegian Business School equips students with advanced skills in mathematics, statistical modelling, machine learning, and optimisation, all applied within a business context. Students learn to develop AI-driven solutions, design data workflows for production, and evaluate quantitative risk while addressing ethical and legal considerations. The curriculum integrates Python programming, big data analytics, and sustainability principles, preparing graduates to solve complex organisational challenges with technical and strategic expertise. The programme balances technical rigor with business acumen, ensuring graduates can communicate insights effectively to both technical and non-technical stakeholders.
What you'll do
- Develop and apply machine learning algorithms to solve business-relevant problems, explaining their assumptions and limitations.
- Design efficient data workflows and production-ready systems for tables, text, and time-series data using Python.
- Evaluate quantitative risk for decision-making and communicate findings to both technical and non-technical stakeholders.
- Integrate sustainability and data protection principles into data science projects, addressing ethical and legal challenges.
- Apply economic, financial, and strategic principles to identify and solve complex organisational challenges.
- Reflect critically on the societal impact of data science applications in international business contexts.
Requirements
Degree required: Bachelor’s degree in a quantitative field such as computer science, mathematics, statistics, economics, engineering, or a related discipline.
Degree offered: Master of Science (MSc) in Data Science for Business
Language: English proficiency (equivalent to TOEFL 90 or IELTS 6.5, if applicable)
Instruction: English
- Strong quantitative background in mathematics, statistics, or related fields
- Proficiency in programming (Python preferred)
- Ability to apply machine learning and AI techniques to business problems
- Familiarity with data engineering and big data analytics tools
- Understanding of economic, financial, and strategic principles
- Open to international applicants
- No specific residency or nationality restrictions mentioned
- No age restrictions
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
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How to apply
Applicants must submit their application through the official BI Norwegian Business School portal. Required documents typically include a CV, academic transcripts, a statement of purpose, and proof of English proficiency. Some programmes may require letters of recommendation.
- CV
- Academic transcripts (Bachelor’s degree)
- Statement of purpose
- Proof of English proficiency (if applicable)
- Letters of recommendation (if required)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.