Master of Science

Business Analytics

By mastering 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. Join this future oriented master`s programme that offers a set of knowledge and skills that blends data science with business subjects.

What will you learn?

Business analytics plays an essential role in providing the tools to make the right decisions and strategies needed to survive in a competitive market and grow profitably. In a world of Big Data, analytics has become a strategic necessity in virtually all areas of business, and to make the best decisions, businesses need to master both business and analytics. Analytics now permeates business sectors from marketing to accounting, sales to logistics, and HR to operations. No industry or market is unaffected by Big Data, so the need for business analytics is universal.

Analytics is a means to an end: to achieve greater business value through superior insight. Consequently, you will learn to conduct descriptive, predictive and prescriptive analyses to support and make business decisions. You will develop knowledge and skills through close collaboration with international industry partners. The programme actively utilises team projects so you will acquire and improve your analytical, communication and collaborative skills.

Popular courses covered in this programme

Applied Data Analytics image

Applied Data Analytics

Get hands-on experience with programming, working with data, using descriptive statistics to motivate models, and using models to turn data into actionable knowledge.

Predictive Analytics with Machine Learning image

Predictive Analytics with Machine Learning

Understand how to use machine learning techniques and tools for predictive analytics.

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Data Management and Python Programming

Learn the basic concepts of data management, database systems, and the use of databases in business applications.


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Visualisations and Network Theory

Get equipped with a set of analysis techniques to make sense of data in a visual way. Use social network analysis to study relational data, identify influential nodes in a network, and distinguish communities.

Career Possibilities

With a master's degree in Business Analytics, you will be a relevant and attractive candidate for a great number of positions across a range of businesses and industries. Big Data affects all industries and markets, so the need for business analytics is universal.

  • Portfolio Analyst
  • Campaign Analyst
  • Financial Analyst
  • Marketing Operations Analyst
  • HR/People Analyst
  • Product Analyst
  • Web Analyst

Business Analytics

"A well-structured master’s programme that focuses on ‘big data’ skills applied to real business problems is a win-win for all involved; master’s candidates get jobs, the university builds credibility and employers get a steady pipeline of professionals to employ. This is a great initiative and DNB is excited to be part of the solution."

Aiden Millar

Chief Data Officer at DNB

"Internships are an invaluable way for students to gain experience and find out what they want from a company. For us, we get access to new ideas and amazing talent. We experienced the Business Analytics students from BI to be self-driven, collaborative and motivated by solving complex problems. That is why we have recruited them to our talent program after they graduate."

Stig Sjursen

Senior Vice President Big Data & Analytics at Orkla IT


As a master 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.

Programme Structure

The academic year at BI is divided into two semester, one in the autumn and one in spring. There are exams at the end of each semester. This programme structure provides an overview of which courses you will be taking and when you will be taking them.

1. Year

  • 60 credits (ECTS)

2. Year

  • 60 credits (ECTS)


  • Exchange semester or courses, including specialisation electives

    - ECTS


  • Exchange semester or courses, including specialisation electives and internship

    - ECTS