Course programme 2021-2022 | DST regular 2021-2022 | Master Computer Science (CS): for students and staff

Academic year 2021-2022

Programme mentors: dr.ir. Maurice van Keulen and dr. Nicola Strisciuglio

Name:

Student number:

Email address

When did you start this Master's programme?

Academic year 2021-2022

Academic year 2020-2021 or earlier

In case you started before academic year 2021, please fill out the programme form from the academic year you started in (https://www.utwente.nl/en/csc/forms/) instead of this one, especially when indicating changes.

If you started longer than 3 years ago, please contact your programme mentor first.

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

Yes
Proceed by filling out the courses below.

No
If you want to change a previously submitted form, please briefly explain your changes in the field below, before proceeding by filling out the course form.

Brief explanation of the changes you're about to submit:

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.

General Computer Science (mandatory)

191612680 Computer Ethics (1B, 5EC)

192199508 Research Topics 10EC

192199978 Final Project 30EC

Credits General Computer Science

EC

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)

Credits core DST

EC

DST Advanced courses (4 out of 6)

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

You cannot pick both NLP and Foundations of IR as advanced course. You can take both, but one will need to be part of the electives in your profiling space.

201600074 Natural Language Processing (1A, 5EC)

You cannot pick both NLP and Foundations of IR as advanced course. You can take both, but one will need to be part of the electives in your profiling space.

201600071 Machine Learning 2 (1B, 5EC)

201800177 Deep Learning – theory to practice (1B, 5EC)

191210910 Image Processing and Computer Vision (2A, 5EC)

201700081 Probabilistic programming (2A, 5EC)

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

Credits Advanced Courses

EC

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

Credits Profiling space

EC

Total credits (EC):

EC