Data Science and Technology (DST)

The Data Science and Technology (DST) master specialization connects the important fields of data science and smart services via information systems. In this master specialization you will get acquainted with and work on the following topics: big data, data analytics, information inference, context-aware applications, smart services. With data science, one learns how to dig for value in data by analyzing various data sources. With service engineering, one learns how to design services that effectively use system capabilities to satisfy user needs and requirements. Information systems that can use the results of data science to get more value out of data and become context-aware may turn traditional services into smart services. We already see applications of this in various domains such as pervasive health, well-being, sports, intelligent transportation, logistics, and business intelligence. 

Core courses Cs

In addition to the programme below, you must also comply to the overall programme requirements of Computer Science by completing the following mandatory components:

Core courses DST

The following 4 courses are mandatory:

Advanced courses DST

At least 4 courses should be chosen out of the following:

*Students who started before 2024 and want to take any of these as an advanced course, contact master-coordinator-cs@utwente.nl. 

profiling space: 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

The following are suggested courses for the profiling space related to the above profiles:

EIT Digital DS Entry year

The requirements for the specialization in Data Science and Technology can also be fulfilled by completing the DST programme at the EIT Digital Masterschool, one year of which takes place at the University of Twente. For the EIT Entry year, the same requirements exist in core and advanced courses as for regular DST. Additionally, there are some extra EIT requirements on Innovation and Entrepreneurship.

Mandatory core and advanced courses

Mandatory I&E courses EIT:

Additional electives: See DST profiling courses or the following I&E elective courses:

EIT Digital DS Exit year

The requirements for the specialization in Data Science and Technology can also be fulfilled by completing the DST programme at the EIT Digital Masterschool, one year of which takes place at the University of Twente. Exit year students have completed a programme in the entry year at one of our partner universities. Nevertheless, students need to comply with our requirements for a core and advanced programme (see below). Students are expected to show how the courses in their programme at the entry university cover 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. This has to be approved by the Programme mentor. 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 remain. A grade transcript of the entry university needs to be provided in the end to prove that the covering courses have at least the same amount of ECs and have been passed.

Mandatory EXIT

The exit year counts at least 60 EC. It consists of the following mandotory parts:

if not covered by the entry year

Courses to be largely covered by the entry year at another university (see explanation above), but if not the remaining courses need to be covered as part of the exit year:

PLus 3 out of:

Profiling/elective courses 'Data Science for Persona Information"

The below 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.

Programme mentors

dr. N. Strisciuglio (Nicola)
Programme mentor DST / EIT DS
dr. D.V. Le Viet Duc (Duc)
Programme mentor DST

Study advisors

S.S. Spuls MSc (Sanne)
Study adviser Master Computer Science

Make an appointment via https://eemcs.planner.utwente.nl/