Data Science

Data Science

Master of science (2 year) Full time

Being an expert in the field of data science makes you highly attractive in today’s and the future labour market.

Being an expert in the field of data science makes you highly attractive in today’s and the future labour market.


Do you want to solve the challenges of tomorrow by using big data? Our master’s programme in data science combines the theoretical elements of informatics, mathematics and statistics with practical data analysis and problem solving skills.


Bachelor's degree

Application deadline:

April 20th
International applicants:
December 1st

Number of students
Study start
Autumn (august)
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Study advisor(s)
Contact study advisors
Contact info

Admission office:
Phone: +47 67 23 01 11


Study advisor at REALTEK:
Drop-in counseling




This master’s degree will give you a thorough grounding in programming, computer science and data mining to ensure your basic skills in data science. Moreover, we offer optional courses in linear algebra and statistics if you lack these subjects in your bachelor's degree. 

You will complement the basic components of your degree with two courses in one of the following specialised 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  
  • Economics  

Lastly, you will apply your data science competencies on a specific task and hone your problem-solving skills in your 30 ECTS master thesis. 


Job opportunities

Being an expert in the field of data science makes you highly attractive in today’s and the future labour market. 

Big data challenges are present in all modern societies, industry sectors and the academic sector. These challenges are also expected to grow rapidly in the future. With an MSc in Data Science, you are eligible for a meaningful, creative and varied technical job in a range of industries, such as: 

  • Communications  
  • Energy  
  • Economics  
  • Precision agriculture  
  • Construction  
  • Science and education 
  • Medicine 

Read interviews with some of our former students here.

Learning outcomes

This master’s programme combines the disciplines of informatics, mathematics, statistics and data analysis. You will deepen your knowledge in these subjects and learn how to analyse real-world problems related to complex and big data. Furthermore, 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. 

Admission requirements

Higher Education Entrance Qualification and a completed bachelor's degree comparable to a Norwegian bachelor's degree, including a specialization worth 80 ECTS.Applicants must have courses in Mathematics, Statistics and Informatics of at least 40 ECTS, of which at least 20 ECTS in Mathematics (Calculus, Linear Algebra), at least 5 ECTS in Statistics and at least 5 ECTS in Informatics (Programming). 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)

Study structure