This master’s programme is future-oriented and offers a set of knowledge and skills that blends data science with business subjects. Candidates who can combine highly advanced analytical skills with business and management skills are in high demand by employers today.
Why study Business Analytics?
The survival and performance of any business depends on the choices that are made. 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. 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.
This programme places a strong emphasis on the application of knowledge by providing you with practical experience options during the second year. In the third semester of the programme, you can choose an internship, become a consultant for an external client, or pursue your academic interests by becoming a research assistant. You will benefit from BI’s multiple strategic partnerships with real-world datasets from companies, or for example, by obtaining certification through SAS Institute. Additionally, this programme is structured to provide you the flexibility of completing the second year from anywhere in the world.
What will you learn?
To make the best decisions, businesses need to master both business and analytics. Through the Master of Science programme in Business Analytics, you will develop the analytical knowledge and skills within an applied business context. 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.
Among the topics, you will find:
- Decision Theory: Learn about biases in decisions, risk, uncertainty, and game theory.
- Data Management: Identify and import data, and learn basic programming.
- Machine Learning and AI: Learn how to conduct machine learning and using advanced artificial intelligence in companies.
- 60 credits (ECTS)
- 60 credits (ECTS)
Customise your degree
As a Master of Science in Business Analytics student, you have many options. You can choose to do an internship to obtain relevant work experience or take on a consultancy project. You can add an international dimension to your degree by choosing the QTEM Master Network option or by completing your second year in your home country or anywhere in the world.
Gain practical work experience with a leading company as an integrated part of your degree.
Though our strategic partnership you can pursue an internship with SAS Institute or their Nordic clients during your third semester.
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.
- Portfolio Analyst
- Campaign Analyst
- Financial Analyst
- Marketing Operations Analyst
- HR/People Analyst
- Product Analyst
- Web Analyst
"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."
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."
Senior Vice President Big Data & Analytics at Orkla IT
Priority application deadline for Master of Science: 1 March
After 1 March, applications are accepted on a rolling basis.