Fakta
Informasjon oppdatert
14. februar 2023.
Om studiet
This interdisciplinary programme is designed to give you advanced expertise in the data science field combined with broad business understanding. It will equip you with the knowledge and skills needed to create business value from data and pursue a career in data-driven organisations.
WHAT WILL YOU LEARN?
Due to the digital revolution, data science has become a strategic necessity in virtually all areas of society, including business. However, data science alone cannot help us formulate and identify business-relevant questions and problems. For this purpose, sound business knowledge is crucial.
The programme is designed to give you a broad and solid understanding of theories and concepts central to business, such as organisational behaviour, strategy, risk management, supply chain optimisation, marketing, and sustainability. In this setting, you will learn how to efficiently organise data science workflows using a wide range of data types, such as time series and text, and code and operate machine learning tools ranging from simple linear and non-linear regression and classification models to deep learning.
This interdisciplinary programme is very quantitatively demanding and will challenge and enhance your technical and analytical skills, and improve your ability to propose, execute, and communicate analytical solutions to complex problems.
Studiets oppbygging
Customise your degree
As a master's student at BI, you have several exciting opportunities that will contribute to 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.
Opptaksinformasjon
Priority application deadline for Master of Science: 1 March
After 1 March, applications are accepted on a rolling basis.
Karrieremuligheter
With a Master of Science in Data Science for Business degree, you will have specialized training in data science combined with core business knowledge and skills, responding to growing industry demand and societal needs. Some examples of types of positions and roles that you could qualify for are our data science positions within different industry areas, such as banking, consulting, insurance, technology, innovation and more. You could also contribute to different departments within companies, connecting data and programming to strategy decisions, workforce analytics, business innovation and intelligence etc.