Master of Science

Business Analytics

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 learn to translate large datasets into actionable insights and solve complex business challenges with analytics. Teaching emphasises practical experience through options such as internships, 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 insights 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). 

Popular courses covered in this programme

Digital dashboard of key performance indicators

Data Management and Python Programming

Turn raw data into action with Python and SQL, from data modelling and relational databases to coding, analysis and visualisation.

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Machine Learning for Business

Use machine learning to predict what happens next, frame the right question, source the right data, build and test models, and deploy them in practice.

Illustration of data points

Causal Inference with Big Data

Master causal analysis on large data sets to identify what works, measure impact, and unlock opportunities in business analytics and economics.

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Value Added Analytics

Gain insight into how data analysis impacts financial results, what creates value, and how this value can be realised. 

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?

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. 

Business Analytics

Picture of Min Jin
Min Jin Data Science Analyst Accenture Data Science Analyst at Accenture
Humberto Trevino
Humberto Treviño AI & Data analytics Director Katapult AI & Data analytics Director at Katapult
Portrait of Aiden

"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 professionals. This is a great initiative and DNB is excited to be part of it."

Aiden Millar

Chief Data Officer, DNB

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"Internships are an invaluable way for students to gain experience and discover what they want from a company. 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 after they graduate."

Stig Sjursen

Senior Vice President Big Data & Analytics, Orkla IT

Student at graduation

Employability

BI’s MSc in Business Analytics ranks among the top 17% worldwide in terms of employability. Read more on the rankings for 2023.

Jocelyn Gallegos Perez

Just Do It!

How I launched an international career at Nike after earning my MSc in Business Analytics degree at BI.

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.

Internship

Our internship programme is a credit-bearing course that gives you the opportunity to test subjects and industries based on your interests, competency, and personal qualities. An internship is valuable as a means of allowing you to experience how your field of study is applied in the business world and provides you with work experience that can be highly attractive to potential employers.

Elective courses

We offer a number of elective courses so that you can adapt your studies to your own interests and goals. This way you can build up competency and pursue a combination of courses that will make you attractive and unique.

SAS Institute

As a Master of Science in Business Analytics student, you will have the opportunity to complete an internship at SAS Institute. You can also get free certification in their widely used software. SAS Institute is the world's largest business analytics company with customers in 147 countries. The American-owned enterprise has more than 40 years of experience within the field and over 95% of fortune 500 companies use their software.

Internship

These are some of the companies where our students have completed internships.

Bar code district in Oslo

Data Science and Analytics

If you are considering a degree in the field of Data Science and Analytics, learn why you should choose to study at BI Norwegian Business School.

Read more
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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)

Autumn

  • Data Management and Python Programming

    7.5 ECTS

  • Applied Data Analytics

    7.5 ECTS

  • Business Optimization

    7.5 ECTS

  • AI for Business

    7.5 ECTS

Spring

  • Causal Inference

    7.5 ECTS

  • Artificial Intelligence - Technologies and Applications

    7.5 ECTS

  • Machine Learning Operations

    7.5 ECTS

  • Data Protection and Ethics

    7.5 ECTS

2. Year

  • 60 credits (ECTS)

Autumn

  • Students not on exchange, choose 24 ECTS from the list below.

    22.5 ECTS

  • Master thesis for the 2026-2028 class

    7.5 ECTS

Spring

  • Value Added Analytics

    7.5 ECTS

  • Master thesis for the 2026-2028 class

    22.5 ECTS

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

Tuition fee

The academic year 2025-2026: NOK 130,000.
Updated fee for 2026-2027: TBA.

The tuition fee is invoiced per semester and adjusted annually. It includes access to lectures and the standard examination fee.

Students with a bachelor's degree from BI are eligible for a discounted tuition fee. Different rates apply to students from countries outside the EU/EEA and Switzerland. Certain exceptions and variations may apply.

Read more about tuition fees.