Specializations

Data Science and Smart Services (DS3)

The Data Science and Smart Services (DS3) 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, intelligent transportation, logistics, and business intelligence.

Programme mentor

Maurice van Keulen, programme mentor

Dr.ir. M (Maurice) van Keulen.
Room: Zilverling 2013;
Phone: 53 489 3688;
Email: m.vankeulen@utwente.nl.

The Service, Cybersecurity and Safety (SCS) group and the Database (DB) group are jointly responsible for the DS3 master specialization. The DS3 master specialization is related to the Twente Graduate School programme on Services Science. Students from DS3 can participate in the Services Science programme once they are admitted and comply with the additional constraints as described in: http://utwente.nl/en/education/post-graduate/tgs/programmes/ctit/services-science/.

Course programme

Basic courses:

192320111 Architecture of Information Systems
192652150 Service-oriented architecture with web services
201200044 Managing Big Data
201400174 Data Science

Advanced courses, 25-45 EC:

191520751 Graph Theory (Grafentheorie)
191800770 Empirical Research & Data Analysis
192110940 Secure Data management
192135450 Advanced Design of Software Architectures - Model Driven Engineering
192160400 Information Retrieval
201600070 Introduction to Machine Learning
201600071 Advanced Machine Learning
192320220 Advanced Architecture of Information Systems
192320501 Electronic Commerce
192320820 Design Science Methodology
192340041 Software Management
201300074 Research Experiments with Data and Information Retrieval
201500527 Capita selecta DS3

Elective courses:

201200148 International Study Tour
192199968 Internship

Other courses chosen from any specialization to obtain the minimally required number of 120 credits

Mandatory (45 EC):

191612680  Computer Ethics (5 EC)
192199508 Research Topics (10 EC)
192199978 Final Project (30 EC)