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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.

Special to this programme is the opportunity to complete an internship at SAS Institute and get free certification in their widely used software. SAS Institute is the world's largest business analytics company with customers in 147 countries. This is competency and an experience that will help you stand out to future employers seeking people who know how to bridge analytics and business. Special to this programme as well is the flexibility it offers, as the second year can be completed in your home country or anywhere in the world. 

Popular courses covered in this programme

Illustration of data points

Causal Inference with Big Data

Learn the potential outcome framework by exploring various methods for high-dimensional data (Big Data), to find new possibilities for business analytics and economic research.

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Value Added Analytics

Understand the financial implications of business analytics, what drives value and how it is generated.

Digital dashboard of key performance indicators

Business Optimisation

Learn how to use mathematical modelling to support practical business management decisions.

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Consultancy Project for Business Analytics

Solve real business problems for a concrete company or public entity and get experience in how to present the suggested solution to high-level decision makers within the company.

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 of Science in Business Analytics at BI.

Why choose MSc in Business Analytics?

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

Preben Wallestad System Consultant Athene Group Taking part in a digitalisation journey

"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

CUSTOMISE YOUR DEGREE

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)

Spring

  • Exchange semester or courses, including specialisation electives

    - ECTS

Autumn

  • Exchange semester or courses, including specialisation electives and internship

    - ECTS

Please be aware that the study plan and courses can be subject to change.