This programme is designed to give you advanced expertise in the data science field combined with a broad business understanding. Get the knowledge and skills needed to create business value from data and pursue a career in data-driven organisations.

What will you learn?

In this highly quantitative interdisciplinary master’s programme, you will build a solid foundation in mathematics, advanced statistical modelling, machine learning, and optimisation. You will gain expertise in data engineering, big data analytics, and AI-based techniques and algorithms, all anchored in core business principles. With a keen understanding of data-driven decision making and the importance of communication and domain knowledge, you will emerge with strong problem-solving skills, ready to tackle complex organisational challenges. 

You will learn to: 

• use foundations in economics, finance, strategy and risk to identify business-value relevant challenges and solutions
• professionally apply machine-learning algorithms and AI, and explain their assumptions and limits
• programme in Python for tables, text and time series, and design efficient workflows that move projects into production
• evaluate quantitative risk for decision-making, reflect critically, and communicate results to technical and non-technical audiences
• integrate sustainability and data protection, addressing the ethical and legal aspects of applied data science in international contexts

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 faculty, and the industry to understand the reasons for choosing to study a Master in Data Science for Business at BI. 

The Master in Data Science for Business is quantitatively demanding, but also very much applied. We actively collaborate with a diverse set of industry partners at the forefront of the digital transformation in Norway, and encourage students to obtain work experience through our internship elective.