Bachelor programmes

Bachelor of Data Science for Business

Want to gain skills that are widely sought after in the industry? This program will give you solid quantitative knowledge and skills applied in a business context, and a fundamental understanding of international business administration.

What will you learn?

Data science is becoming increasingly important for society and business as a strategic tool for making better decisions. This bachelor programme is highly technical and focuses on advancing your quantitative and methodical skills, which is necessary to utilize the potential of data science. The programme is designed to equip you with substantial hands-on data science competence and the ability to use it to create business value in a broad set of areas, such as marketing, finance, and economics

Some of the topics you will learn about:  

  • Business. Gain a broad knowledge of several aspects of international business, ranging from accounting, business management, fundamental economics, and finance.
  • Programming. Learn how to use Python, Matlab, and machine learning to extract, organize, and analyse data from a variety of sources.
  • Statistics. Understand how to exploit large data sets to predict future outcomes and to assess the impact of potential decisions.
  • Data visualisation. Learn how to present data and analyses to communicate the results of your investigations.

Popular courses covered in this programme:

Maskinlæring

Causality, machine learning and forecasting

Get introduced to two central elements in applied analytics: causal analysis and machine learning and forecasting techniques.

AI and data ethics  image

AI and data ethics

Understand the ethical complexities of information and communication technology, as well as of data science in general.  

Programming, data extraction and visualisation  image

Programming, data extraction and visualisation

Learn the basic tools in programming, data extraction and visualisation of datasets, and solve problems by using Python in a learning-by-doing approach.  

quantitative illustration
quantitative illustration

Quantitative Economics

Learn and apply programming and numerical techniques to solve microeconomic models that are relevant for optimal decision making in firms.

Career possibilities 

Technology allows us to gather data at an increasingly high rate, and almost every company today has a demand for job candidates who can create business value from this data. To do so, however, job market candidates need both good analytical skills and business understanding. Finance, marketing, and consultancies are the most prominent sectors for Data Science for Business graduates, but the skills you learn are applicable in a wide range of fields, from logistics to advertising. With your understanding of international business management, you can translate data into actionable intelligence, both in the public and the private sector.

Your degree could lead to a career in:

  • Management. Use your data-driven perspective to maximise a business’ performance.
  • Analysis. Solve complex business problems with analytical thinking.
  • Data science. Work alongside data scientists to find new insights.
  • Financial technology. Become part of a promising new field aiming to disrupt traditional banks and financial institutions.

Kristoffer Gjerde Consultant Ernst & Young The X and Y factor

Customise your degree

This programme has a flexible study plan which means that you can adapt your degree based on your interests. As a student at BI, you have several exciting opportunities that can contribute to varied and interesting student life, at the same time as you build relevant competence.

What can you study afterwards?

After completing this programme, you have a range of options to continue your education. In fact, you qualify for every master programme at BI, with the exception of Law and Business. If you want to dig even deeper into the field, we offer a Master of Science in Data Science. You can also expand your horizon with a master in business, or dive into quantitative disciplines by studying a Master of Science in Quantitative Finance if you fulfil the grade and elective requirements. Contact info@bi.no for more information.

Data Science for Business

Programme Structure

The academic year at BI is divided into two semester, one in the autumn and one in spring. This programme structure provides an overview of which courses you will be taking and when you will be taking them. The programme structure is updated annually in June. The content may be subject to change.

Practical information