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

Academic year 2024-2025

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

More information on the requirements of the programme

Student & Exam programme

Name:

Student number:

Email address

When did you start your exit year at the UT?

Academic year 2024-2025

Before this academic year

In case you started your exit year at the UT 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:

CS General (mandatory)

Graduation

201800524 Research Topics EIT 4EC

201800525 I&E Study EIT 6EC

192199978 Final Project 30EC

Ethics

191612680 Computer Ethics (Q2, 5EC)

DST core and Advanced courses

The DS programme at the UT contains a number of core (4) and advanced courses (3 out of 6). The intention is that students minimize the number of core and advanced courses they still have to do in their exit year, so that sufficient room for electives remains.

Students are expected to show in the field below how the courses in their programme at the entry university cover the all or at least most of the core and advanced courses with at least the same amount of EC as the core and advanced courses at the UT (preferably including a link to the course description at the entry university).

How I covered the core and advanced course at my entry university:

A grade transcript of the entry university needs to be provided later to prove that the covering courses have at least the same amount of ECs and have been passed. This has to be approved by the Programme mentor. If there are any uncovered core/advanced courses remaining, please do check them or discuss with your programme mentor first.

Remaining DST core courses

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) or 191506103 Statistics and Probability (Q1, 5EC)

Remaining 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.

191210910 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 remaining DST core courses:

Credits remaining DST Advanced courses:

Profiling space "Data Science for Persona Information"

For the remainder of the 60EC of the exit year (or 120 in total), the student needs to pick at least 15 EC from the following courses (if not spend on remaining core/advanced courses).

The following courses are specifically suggested for the EIT specialisation “Data Science for Persona Information”. These are course related to topics such as health and sports, wellbeing, biometrics and privacy. Though any other courses suggested for the profiling space of the Data Science & Technology programme are also allowed.

Suggested electives:

201500222 Technology for Health

201400353 Signals with Information

201500040 Introduction to Biometrics

201100254 Advanced Computer Vision & Pattern Recognition

201700075 Internet of Things

201400408 Complex Networks

202300336 Explainable AI

202001583 Sports Interaction Technology: Designing Interactive Systems for Sport

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

Total credits

Total credits @UT (EC):

This will likely be around 60EC, depending on the amount of credits from your entry year. Make sure that your entry and exit year toghether are at least 120 credits.

Other information or remarks

If there is anything you else you need to explain or information you want to provide with regard to your programme approval form, please use this field.