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Data Science
Programme Structure

Programme Structure

Programme Structure

1st year Autumn                            
INF121 Basic Programming Course*            
INF200 Advanced Programming
INF221 Computer Science for Data Scientists
INF250 Image Analysis/Specialisation course

1st year Spring
MATH-INF110 Basic Data Analysis/Specialisation course *,**
MATH280 Applied Linear Algebra **
INF230 Data Handling and Data Bases

2nd year Autumn
TP300 Term Paper
DAT300 Data Mining (2018)
300-level Specialisation course

2nd year Spring
Master Thesis

*Students lacking prerequite background in elementary programming and/or statistics can replace these courses with free specialisation courses

** Students with bacground simmilar til MATH-INF110 or MATH280 can replace these courses with DAT303 Machine Learning and Deep Learning (Start 2018)

SPECIALISATION COURSES

Data analysis and statistics       
INF250      Image Analysis 
DAT303     Machine Learning and Deep Learning (Start 2018)
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      

Biostatistics 
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
BUS320       Empiriske analyser av finans- og varemarkeder II
BUS321       Empiriske analyser av finans- og varemarkeder - teoridel
BUS322       Investeringsanalyse og finansiell risikostyring
BUS323       Analyser av råvaremarkeder
BUS324       Opsjoner, derivater og risikostyring
ECN301       Econometric methods
ECN303       Impact assessment
BUS204       Introduction to Behavioral Economics
AOS230       Work and Organisational Psychology
ECN304       Behavioral and Experimental Economics


TERM PAPER AND MASTER THESIS SUPERVISORS

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
- Assoc.Prof. Hans Ekkehard Plesser

Big data in neurosciences
- Prof. Gaute Einevoll

Meteorology
- 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

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

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

Published 13. July 2017 - 11:19 - Updated 13. July 2017 - 12:56

Norwegian University of Life Sciences (NMBU)

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