Course programme 2020-2021 | DST 2020-2021 | Master Computer Science (CS): for students and staff

Academic year 2020-2021

Programme mentors: dr.ir. Maurice van Keulen and dr. Christin Seifert

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Student number:

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Is this your first time filling out a course form for this specialization?

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Proceed by filling out the courses below.

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Is this programme part of a combined Master's programme?

No

Yes

Note. If you are combining Computer Science with another programme at the UT, after approval from your programme mentor, you have to send in a separate request for approval to the Examination Board CS (See EER, Article A3.6). For questions contact the master coordinator.

DST Core courses (mandatory)

201600070 Machine Learning 1 (1A, 5EC)

201200044 Managing Big Data (1B, 5EC)

201400174 Data Science (1B or 2A, 5EC)

201700080 Information Theory and Statistics (2A, 5EC)

DST Advanced courses (4 out of 6)

201600076 Foundations of Information Retrieval (1A, 5EC)

201600071 Machine Learning 2 (1B, 5EC)

201700081 Probabilistic programming (2A, 5EC)

192652150 Service-oriented Architecture Web Services (2A, 5EC)

192320111 Architecture of Information Systems (2B, 5EC)

201300074 Research Experiments in Databases and Information Retrieval (REDI, 2B, 5EC)

Ethics (mandatory)

191612680 Computer Ethics (1B, 5EC)

Graduation (mandatory)

192199508 Research Topics 10EC

192199978 Final Project 30EC

Profiling space: Data science students can specialize further in one or more of the following data science profiles.

a) specialist in specific kinds of data, such as natural language text, image data, geographic data, sensor data, networked data,
b) designer of smart services,
c) designer of data science algorithms,
d) multi-disciplinary researcher.

Profiling space: suggested electives

Apart from the above choices, students can also pick:

Internship (Optional)

Internship 20EC

(a,c) other courses on fundamentals and algorithms of signal processing, stochastic processing, spatio/temporal data processing, etc.
(d) other courses on data analysis from fields like health/medicine, social sciences, business sciences, bio-informatics, engineering and geo-informatics.

Profiling space: Other courses (course code, course name):

If you proposed "other courses" above, please explain how these form a coherent DS&T programme targeting your specific individual goals

Total credits (EC):

EC