Data Science - Master of Science

Data Science - Master of Science

Master (2 year) 2 years


Do you want to solve the challenges of the future using Big Data? In our master program in Data Science you will learn how to combine informatics, mathematics and statistics with data analysis to deal with Big Data challenges.


Bachelor's degree

Application deadline:

June 1st
International applicants:
December 1st

Study start
Autumn 2020
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Contact info

Student adviser:
Phone: + 47 67 23 16 70

Student Information Centre (SIT):
Phone: +47 67 23 01 11


Programming, computer science and data mining will give you basic skills in Data Science. Linear algebra and statistics are offered as optional courses if you lack these subjects in your bachelor degree.

You will complement this basis with two specialisation courses in one of the following areas:

  • Geographical Modelling and Analysis
  • Geographical Database Systems
  • Geographical data Mining
  • Climate Modelling Biostatistics
  • Biophysics
  • Bioinformatics
  • Computational Neuroscience
  • Energy Physics
  • Building Structures
  • Building Performance Simulation and Economics.

In your 30 ECTS master thesis, you will apply your data science competence to a specific task and hone your problem-solving skills.

What can you use this qualification for?

Being an expert in the field of Data Science makes you highly attractive for the future labour market.

Big Data challenges are present in all modern societies, all industrial sectors and research and are expected to grow rapidly in future.

Experts for ‘making sense’ out of this data are urgently needed in labour markets such as the communication sector, the energy sector, economy, precision agriculture, the construction sector, in research and the medical sector.

What will you learn?

The program combines the disciplines of informatics, mathematics, statistics and data analysis.

During the data science studies, you will deepen your knowledge in these subjects and learn to analyse real-world problems related to complex and big data.

You will capitalise on the wide range of application areas of big data in technology, environmental and life sciences, as well as in business and economics.

Detailed requirements

Higher Education Entrance Qualification and a completed bachelor's degree comparable to a Norwegian bachelor's degree included a specialization worth 80 ECTS.

Applicants with a Norwegian degree in Engineering must have the courses Mathematical Methods I, II and III (or comparable) and Statistics (worth 30 ECTS) included in their degree. Other applicants must have at least 30 ECTS Mathematics courses and 5 ECTS Statistics courses.

There is a minimum mark requirement of C for admission.

I chose NMBU because of the many options within the study program, and due to the famous student environment.

Elise Mühlbradt, BaneNOR (Jernbaneverket)

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Studiets oppbygning