Programme Structure


Year 2 Spring Master thesis (30)
Year 2 Autumn DAT300 Applied machine learning II (10) DAT390 Data Science Seminar (10) DAT320 Sequential and time series data analysis (10) /
MLA310 Matrix Methods for Data Analysis and Machine Learning (10)/ other specialization course**
Year 1 Spring DAT200 Machine Learning and Deep Learning (10) MATH280 Applied Linear Algebra (10) INF230 Data Handling and Data Bases (10)/ INF INF221 Computer Science for Data Scientists
Year 1 Autumn INF200 Advanced programming (10) STAT351 Statistical Theory (10)/
other specialization course**
Elective specilisation courses  
Year 1 August DAT121 Introduction Course for Data Scientists (5)      
*Choose 300-level courses (10 ECTS) from the list of specialisation courses


Mandatory courses

DAT121 Introduction Course for Data Scientists August 5 ECTS
INF200 Advanced programming Autumn 10 ECTS
DAT200 Machine Learning and Deep Learning Spring 10 ECTS
MATH280 Applied Linear Algebra Spring 10 ECTS
INF230 Data Handling and Data Bases Spring 10 ECTS
DAT300 Applied machine learning II Autumn 10 ECTS
DAT390 Data Science Seminar  Autumn 10 ECTS

In addition, choose at least 10 ECTS at 300-level from the list bellow, for a total of 30 ECTS in 300-level courses. 

If you have equivalent courses from prior education you can replace these with other relevant courses from the list bellow.
Please contact one of our student advisors and they will assist you in revising your study plan. 

Choose specilisation courses from the list bellow. 
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

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 3. May 2022 - 9:30