Prospectus

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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.

Programme

The first year consists of a selection of courses (42 EC) from the Core programme in Computer Science, followed by 3 mandatory Specialisation courses (21 EC) from Statistical Science.

In the second year students need to follow two mandatory Specialisation courses (9 EC) from Statistical Science and one Specialisation course (6 EC) to be chosen from the Fall semester Core programme in Computer Science. In addition, students work on innovative research and applications during the Master's Thesis Research Project (42EC) and are required to participate in the Master Class to support their research.

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 study advisor: dr. Matthijs van Leeuwen.
For any other inquiries, please send an email to the programme coordinator: José Visser.

Year 1

Course EC Semester 1 Semester 2

Core programme (42 EC)

Fall semester
Advances in Data Mining 6
Complex network (BM) 6
Databases and Data Mining 6
Evolutionary Algorithms 6
Information Theoretic Data Mining 6
Multicriteria Optimization and Decision Analysis 6
Social Network Analysis for Computer Scientists 6

Spring semester
Information Retrieval and Text Analytics 6
Multimedia Information Retrieval 6
Neural Networks 6
Reinforcement Learning 6
Seminar Distributed Data Mining 6

Mandatory Statistical Science courses (21 EC)
Introduction to Data Science for Computer Scientists 6
Linear & generalized linear models and linear algebra 9
Multivariate analysis and multidimensional data analysis 6

Year 2

Course EC Semester 1 Semester 2

Core course (6 EC):

To be chosen from the Fall semester Core programme (see Year 1)

Mandatory Statistical Science courses (9 EC)
Statistical learning 6
Advanced Statistical Computing 3

Master Thesis (42 EC)
Master's Thesis Research Project (LIACS) 42
Master Class 0