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| Year 2 Spring | Master thesis (30) | |||
| Year 2 Autumn | DAT300 Applied machine learning II (10) | DAT390 Data Science Seminar (10) | Elective specialisation course* | |
| Year 1 Spring | DAT200 Machine Learning and Deep Learning (10) | MATH280 Applied Linear Algebra (10) | INF230 Data Handling and Data Bases (10) | INF221 Computer Science for Data Scientists (10) |
| Year 1 Autumn | INF200 Advanced programming (10) | Elective specialization course* | Elective specilisation course* | |
| Year 1 August | DAT121 Introduction Course for Data Scientists (5) | |||
| *Choose at least 10 ECTS at 300-level. | ||||
Mandatory courses (105 ECTS)
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
INF221 Computer Science for Data Scientists 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
M30-DV Master's Thesis 30 ECTS
In addition, choose a minimum of 15 ECTS elective specilisation courses. Of these, at least 10 ECTS must be at 300-level. Bellow you will find a list of recommended elective courses.
Elective courses should be chosen with your Master's Thesis topic in mind.
If one or more of the mandatory courses are equivalent to courses from your prior education, these can be replace 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
DAT320 Sequential and time series data analysis
INF205 Resourse-efficient programming
INF250 Image Analysis
STAT200 Regression
STAT210 Analysis of Variance
STAT340 Applied methods in statistics
STAT351 Statistical Theory
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
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
BUS323 Energy and commodity market analysis
BUS326 Applied Financial Econometrics
BUS313 Strategic Performance Management
BUS332 Decision Analysis ad Capital Budgeting (only in norwegian)
BUS340 Supply Chain Management
ECN301 Econometric methods
ECN303 Impact assessment
INN351 Enterprise Architecture for the Digital Age
INN352 Development and Implementation of Information Systems
INN353 Monitoring and Control of Business Processes
INN358 Machine Learning with Discrete Event Stream Data
TERM PAPER AND MASTER THESIS SUPERVISORS
Data Science
- Prof. Kristin Tøndel
- Assoc.Prof. Oliver Tomic
- Assoc.Prof. Kristian Hovde Liland
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High-dimensional data in life sciences:
- Prof. Cecilia Futhsæther
- Assoc.Prof. Ulf Indahl
- Prof. Achim Kohler
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