Master 120 ECTS
Data Science for Business
Gain advanced skills in data science, AI and quantitative methods, with broad business understanding. As AI transforms how businesses operate, the combination of technical expertise and business understanding is more relevant than ever.
What will you learn?
In this highly quantitative interdisciplinary master's programme, you will build a solid foundation in mathematics, advanced statistical modelling, and machine learning. You will gain expertise in data engineering, deep learning, and AI-based techniques and algorithms, all anchored in core business principles. With a keen understanding of data-driven decision-making and the importance of communication and domain knowledge, you will emerge with strong problem-solving skills, ready to tackle complex organisational challenges.
You will learn to:
- use foundations in economics, finance, strategy and risk to identify business-relevant challenges and solutions
- apply machine-learning algorithms and AI to extract insights and create business value
- design and implement production-ready workflows and analyse data in different formats
- evaluate quantitative risk for decision-making, reflect critically, and communicate results to technical and non-technical audiences
- integrate sustainability and data protection, addressing the ethical and legal aspects of applied data science in international contexts
Data Science for Business is quantitatively demanding, but also very much applied. We actively collaborate with a diverse set of industry partners at the forefront of the digital transformation in Norway, and encourage students to obtain work experience through our internship elective.
Why choose this programme?
Engaging learning experiences and quality teaching help you build a solid foundation of skills and competence for the future of work.
The Master in Data Science for Business combines advanced quantitative methods with practical business applications. We actively collaborate with a diverse set of industry partners at the forefront of digital transformation in Norway and encourage students to gain work experience through our internship elective.
In the video below, our faculty and industry representatives share their perspectives on why you should choose the Master in Data Science for Business at BI.
Students with a Master in Data Science for Business from BI Norwegian Business School possess a combination of technical skills and business understanding which is crucial for PwC and our purpose - to build trust in society and solve important problems.
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If you are considering a degree in Data Science and Analytics, learn why you should choose to study at BI Norwegian Business School.
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Humans needed behind the machines
Is human intelligence threatened by digital intelligence? Or will human thinking power be required in the future?
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Life as a student can be both exciting and challenging. Therefore we've listed different opportunities and resources which can be useful during your studies.
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Explore student housing options in Oslo, Bergen and Trondheim. Housing providers, application procedures and any housing guarantees vary by campus. Please follow the guidance for the campus where you will study.
Career possibilities
Graduates with a Master in Data Science for Business background are highly sought after by leading consultancies, financial institutions, technology firms, and global corporations. They often pursue roles as data scientists, analytics managers, or data strategists, leveraging their insights to drive innovation, improve operational efficiency, and sharpen competitive advantages. This programme’s graduates find exciting career paths in fast-growing fields, as well as opportunities to launch entrepreneurial ventures or contribute meaningful data-driven solutions in diverse business environments.
Examples of areas you can work in:
- data infrastructure and machine learning in production – build data pipelines, deploy models, and operate them
- experiments and causal analysis – A/B tests and quasi-experiments to measure the impact of interventions
- optimisation and operations research – capacity planning, pricing, and network design
- quantitative finance and risk – time-series analysis, forecasting, and risk and portfolio modelling
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Digital Analyst & Software Engineer
Equinor
Tuấn Nguyễn
Customise your degree
As a master's student at BI, you have several exciting opportunities that will contribute to a varied and interesting student life, at the same time as you build relevant competence and gain an advantage in the job market by tailoring your degree.
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Learn more about your opportunities for going on exchange while you are studying at BI. From Switzerland to South Korea - BI Norwegian Business School has exchange partnerships with more than 200 schools around the world.
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Prior experience at a workplace is invaluable when you're applying for jobs. At BI, you have the possibility to combine real-world experience with earning credits.
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We offer a number of elective courses, so that you can adapt your studies to your own wishes and interests. In this way, you can build up competence and get a professional combination that makes you attractive and unique.
Tuition fee
Master 120 ECTS
Data Science for Business
Master 120 ECTS
Data Science for Business
Tuition fee
Master 120 ECTS
Data Science for Business
*Internal applicants are applicants who have passed a minimum of 120 ECTS from BI.
Students with a bachelor's degree from BI are eligible for a discounted tuition fee.
The tuition fee is invoiced per semester and adjusted annually. It includes access to lectures and the standard examination fee.
Different rates apply to students from countries outside the EU/EEA and Switzerland. Certain exceptions and variations may apply.
Scholarship and financing
BI offers scholarships for eligible applicants. Explore the available scholarships and check the eligibility requirements and application deadlines for your programme and intake.
Admission requirements
- Admission requirements for all full-time Master programmes
- Programme specific admission requirements for Master in Data Science for Business
- If you are a current student at BI, log in to the student portal to find specific admission requirements in your education plan
Priority application deadline for full-time Master programmes: 1 March
After 1 March, applications are accepted on a rolling basis.