Join this future-oriented master`s programme that will enable you to master the combination of highly advanced analytic skills with business and management skills, you will become a viable candidate for a range of businesses and industries.

What will you learn?

This programme equips you with advanced skills in data analysis, statistical modelling and programming, plus a solid understanding of business functions such as strategy, marketing, and how companies produce and deliver their products and services. You will learn to translate large datasets into actionable insight and solve complex business challenges with analytics. Teaching emphasises practical experience through options such as internships and consultancy projects, helping you bridge analytics and business.  

You will learn to: 

• use clear decision frameworks and understand markets, competition and value creation
• turn different data sources into useful insight and make predictions with AI and machine learning
• define the problem, write analysis code (e.g., Python) and build clean, well-structured datasets
• analyse and forecast, show the business impact of your work, and present results with clear visuals
• think critically and handle ethics, privacy and data security at every step (and know the limits of data and methods)

Why choose this programme?

Engaging learning experiences and quality teaching are something we strive to provide, to help you build a solid skill and competency base, making you relevant for the future of work. In the video below, you will get the perspectives of our students, faculty, and the industry to understand the reasons for choosing to study Master in Business Analytics at BI.

Trying to decide which master programme is right for you? Take our Master Quiz to find your best match.

Career possibilities

Employers need people who connect technology, data science and business strategy, and turn analysis into action. Graduates are well positioned for roles across industries and the public sector, in Norway and internationally. 

Examples of areas you can work in: 

• business intelligence and decision support – reporting, dashboards, insight and storytelling
• data science and machine learning for business – prediction, experimentation and product analytics
• marketing and customer analytics – attribution, campaign measurement and churn prevention
• strategy, operations and supply chain analytics – forecasting, pricing, capacity and inventory planning
• consulting and digital transformation – turning data into value, change support and data governance