| Year 2 Spring | Master thesis (30) | ||
| Year 2 Autumn | DAT300 Applied machine learning II (10) | DAT390 Data Science Seminar (10) | Optional (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 | INF121 Introduction Course for Data Scientists (5) | ||
SPECIALISATION COURSES
Data analysis and statistics
INF250 Image Analysis
DAT200 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