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| 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.
SPECIALISATION COURSES
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
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
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
TERM PAPER AND MASTER THESIS SUPERVISORS
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
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