DST 2024-2025 | Master Computer Science (CS): for students and staff

Academic year 2024-2025

Programme mentors: dr. Nicola Strisciuglio and dr. Le Viet Duc

Student & Exam programme

Name:

Student number:

Email address

When did you start this Master's programme?

Academic year 2024-2025

Before this academic year

In case you started before this academic year, 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 are 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, you need to be admitted to both programmes. 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.

CS General (mandatory)

Graduation

192199508 Research Topics 10EC

192199978 Final Project 30EC

Ethics

191612680 Computer Ethics (Q2, 5EC)

DST core (mandatory)

DST Core

201600070 Machine Learning 1 (Q1, 5EC)

201200044 Managing Big Data (Q2, 5EC)

202300200 Data Science (Q2 or Q3, 5EC)

201700080 Information Theory and Statistics (Q3, 5EC)

Credits core DST

EC

DST Advanced (at least 4)

DST Advanced courses

201600076 Foundations of Information Retrieval (Q1, 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 (Q1, 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.

202200103 Image Processing and Computer Vision (Q1, 5EC)

202100258 Fair Data Engineering (Q1, 5EC)

192320111 Architecture of Information Systems (Q2, 5EC)

201600071 Machine Learning 2 (Q2, 5EC)

201800177 Deep Learning – theory to practice (Q2, 5EC)

201700081 Probabilistic programming (Q3, 5EC)

202100291 Ontology-Driven Conceptual Modeling (Q4, 5EC)

Credits Advanced Courses

EC

DST Profiling space

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

192199968 Internship CS (20EC)

Note. If you do an internship (20EC) as part of your programme you are not allowed to also carry out your final project at a company.

(c) other electives on fundamentals and algorithms of signal processing, stochastic processing, spatio/temporal data processing, etc.
(d) other electives 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 DST programme targeting your specific individual goals

Credits Profiling space

EC

Total credits

Total credits (EC):

EC

Make sure to read the section on course programma approval on this website, before entering a programme of more than 120 credits.

Other courses (outside of the 120 credits mandatory to obtain your degree).

Make sure to read the section on course programma approval on this website.