Programme Structure

All the courses in the table are mandatory.

If you have some of the courses from a prior degree you can instead chose one of the courses listed under spesialisations.

Year 2 Spring Master thesis (30)
Year 2 Autumn DAT300 Applied machine learning II (10) DAT390 Data Science Seminar (10) Elective course (10) (master level)*
Year 1 Spring DAT200 Machine Learning and Deep Learning (10) MATH280 Applied Linear Algebra (10) INF230 Data Handling and Data Bases (10)
Year 1 Autumn INF200 Advanced programming (10) INF221 Computer Science for Data Scientists (10) INF250 Image Analysis/Specialization course(10)
Year 1 August DAT121 Introduction Course for Data Scientists (5)    
*Choose one (10 ECTS) from the list of specialisation courses


Data analysis and statistics       
INF250      Image Analysis 
DAT200     Applied Machine Learning
STAT200    Regression
STAT210    Analysis of Variance   
STAT340    Applied methods in statistics
STAT321    Theoretical statistics I       
STAT360    Theoretical statistics II
STAT370    Selected topics in Statistics
STIN300    Statistical Programming in R      

HFA301       Calculation of breeding values
BIN300        Statistical Genomics
BIN310        Selected Topics in Genome Analysis       
BIN315        Selected Topics in Functional Genomics       

Data Science in Energy physics       
FYS377        Future Digital Power Systems       
FYS301        Modelling Absorption and Scattering of Electromagentic Radiation       

Data Science in Biological physics       
FYS388       Computational Neuroscience
DAT301       Big Data in Biological Sciences (Summer School SIU-funded, starting 2018)
DAT302       Computational Biophysics (To be applied for as a National School)

Big Data in Geosciences
GMGI210    Geographical Modelling and Analysis    
GMGI300    Geographical Database Systems   

Big Data in Construction
TBA210        Building Structures
TBA331        Building Performance Simulation   

Big Data in Economics
BUS326 Applied Financial Econometrics
BUS320 Empiriske analyser av finans- og varemarkeder II (expired, replaced by BUS326)
BUS321 Empiriske analyser av finans- og varemarkeder - teoridel (expired, replaced by BUS326)
BUS322 Investeringsanalyse og finansiell risikostyring
BUS323 Energy and commodity market analysis
BUS324 Opsjoner, derivater og risikostyring (expired)
ECN301 Econometric methods
ECN303 Impact assessment
BUS204 Introduction to Behavioral Economics
AOS230 Work and Organisational Psychology
ECN304 Behavioral and Experimental Economics


Big geospatial data
- Assoc.Prof. Håvard Tveite

High-dimensional data in life sciences: 
- Prof. Cecilia Futhsæther
- Assoc.Prof. Ulf Indahl
- Prof. Achim Kohler
- Prof. Kristin Tøndel

Robotics and machine learning:
- Prof. Pål From

Large-scale simulation
- Prof. Hans Ekkehard Plesser

Big data in neurosciences
- Prof. Gaute Einevoll

- Assoc.Prof. Mareile Wolff

Cell phone sensoring
- Assoc.Prof. Leif Daniel Houck

Big data in Economics and Business-organisational science
- Assoc.Prof. Nicolay Andre Melsæter Worren

Environmental economcis (land use change)
- Prof. Arild Angelsen

- Assoc.Prof. Trygve Almøy
- Prof. Thore Egeland
- Assoc.Prof. Ellen Sandberg
- Prof. Solve Sæbø

- Prof. Torgeir Hvidsten
- Assoc.Prof. Lars Snipen

Published 13. July 2017 - 11:19 - Updated 26. August 2021 - 11:33