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Computer Science: Data Science

Master

The Data Science: Computer Science specialisation is a two-year, full-time master’s programme offered in cooperation with the Mathematical Institute.

Curriculum

Year 1&2

  1. The required Core component Data Science (36 EC)

  2. A selection of Specialisation courses and seminars (42 EC)

Year 2

  1. The Master’s Thesis Research Project (42 EC ) (including Master Class, written Master's Thesis and Master's Thesis Presentation)

See also

For more information on the specific requirements of this specialisation, see the appendix of the Course and Examination Regulations.

More information

For specific questions about programme content, curriculum choices and/or study planning, please contact the Computer Science study advisor/education coordinator.

  • Core component Data Science (36 EC)
  • Specialisation courses and seminars (42 EC)
  • Research components
  • Course levels
Vak EC Semester 1 Semester 2

Core component Data Science (36 EC)

Year 1/2

Advances in Data Mining 6
Deep Learning and Neural Networks 6
Information Theoretic Data Mining 6
Introduction to Data Science for Computer Scientists 6
Linear & generalized linear models and linear algebra 9

Year 2

Advanced Statistical Computing 3

Important note:

Students who started before 1 September 2019 are allowed to choose three of the following five courses to fullfil the requirements of the Core component Data Science:

  • Advances in Data Mining

  • Deep Learning and Neural Networks

  • Information Theoretic Data Mining

  • Multivariate analysis and multidimensional data analysis

  • Statistical Learning