List Of approved electives 2026-2027
- This list contains electives that are pre-approved by the Examination Board
- Courses are usually selected from related programmes like Industrial Engineering and Management, Computer Science or Business Adminstration.
- If you would like to select a course that is NOT on the list of elective courses, you need to ask the permission of the Examination Board.
- Because the list is based on previously approved courses, not all courses on the list might be offered in the upcoming academic year, so always check!
- Most of these courses are offered by other programmes and these programmes decide who can take part. So participation is not guaranteed, you might need permission from the organizing programme to participate. Presence of this list means you are allowed to include it in your study programme and a request to the exam board is not neccesary, not that you are automatically allowed to participate by the organizing programme, nor does it mean that you meet the prerequisites. You can always check with the MBIT programme coordinator if you are not able to register. Sometimes courses are not open for registration by accident.
- Furthermore, check if the prerequisites for a course are a match with your background and previous knowledge. BIT students come from various backgrounds and not all elective courses on the list are fit for every background.
- If a link does not work, check by course code or name in the UT Course catalogue www.utwente.nl/coursecatalogue.
Term | Code | Name | EC |
ALL YEAR | Internship BIT [1] | 20 | |
YEAR | Study Tour, only once every two years (via study association Inter-Actief) [2] | 10 | |
Q1 | Simulation | 5 | |
Q1 | Digital Strategy | 5 | |
Q1 | Machine Learning 1 | 5 | |
Q1 | Agentic and Multi Agent Systems | 5 | |
Q1 | Statistics and Probability | 5 | |
Q1 | Management and Governance of Innovation & Creativity | 5 | |
O1 | Purchasing Strategy and System | 5 | |
Q1 | Purchasing Management | 5 | |
Q1 | Construction Supply Chain and Digitization | 5 | |
Q1 | Foundations of Information Retrieval | 5 | |
Q1 | B2B Marketing | 5 | |
Q1 | Investments & Risk Management [3] | 5 | |
Q1 | FAIR Data Engineering | 5 | |
Q1 | Natural Language Processing | 5 | |
Q1 | Change Management & Consultancy (CMC) | 5 | |
Q1 | Security and Cryptography | 5 | |
Q1 | Economics of Cyber Security | 5 | |
Q1 | Green Software Development | 5 | |
Q2 | Computer Ethics | 5 | |
Q2 | 3D Modelling for City Digital Twins based on Geospatial Information | 5 | |
Q2 | Design of Software Architectures | 5 | |
Q2 | E-commerce | 5 | |
Q2 | Managing Big Data | 5 | |
Q2 | Deep Learning [4] | 5 | |
Q2 | Requirements Engineering Processes and Methods [5] | 5 | |
Q2 | Machine Learning 2 | 5 | |
Q2, Q3 | Topics in Data Science [6] | 5 | |
Q3 | Information Services | 5 | |
Q3 | Circular Sustainable Business Development | 5 | |
Q3 | Service-oriented Architecture with Web Services | 5 | |
Q3 | Implementation of IT in Organizations | 5 | |
Q3 | ICT Management | 5 | |
Q3 | Information theory and statistics | 5 | |
Q3 | Transportation and Logistics Management | 5 | |
Q3 | Information Systems for the Financial Services Industry | 5 | |
Q3 | Linked Data and Semantic Web | 5 | |
Q3 | Internet Security | 5 | |
Q3 | Steganography and Data Forensics in Cybersecurity | 5 | |
Q3 | Strategic Technology Management and Innovation | 5 | |
Q3 | Security Experiments Part I: Modelling Cyber Threats | 5 | |
Q3 | Multi Modal Machine Learning | 5 | |
Q4 | Security Experiments Part 2: Execution and Analysis [7] | 5 | |
Q2 | Architecture of Information Systems | 5 | |
Q4 | Software Management | 5 | |
Q4 | Digital Health | 5 | |
Q4 | E-law | 5 | |
Q4 | Research Experiments in Databases and Information Retrieval (REDI) | 5 | |
Q4 | Smart Industry Systems | 5 | |
Q4 | Generative and Human-AI Application Co-Development (Low Code) | 5 | |
Q4 | Graphical Models and Causality | 5 | |
Q4 | Ontology-Driven Conceptual Modeling with Applications | 5 | |
Q4 | Sports Interaction Technology: Designing Interactive Systems for Sports | 5 | |
Q4 | Explainable AI | 5 | |
Q3 | Deep Learning for Medical Image Analysis [8] | 5 | |
Q4 | Cyber Data Analytics | 5 | |
Q4 | Process Mining | 5 | |
Q4 | Time series analysis | 5 | |
Q4 | Large Language Models for Business Applications | 5 |
[1] Not combined with 201800405 Study Tour.
[2] Not combined with 201300059 Internship BIT.
[3] Not in combination with 191860181.
[4] Not in combination with 202100107.
[5] Not for students with an UT BSc degree BIT.
[6] Student is only allowed to follow Topics in Data Science once. If student took the course 202400610 Process Mining the Process Mining topic is excluded to select as topic in this course.
[7] Experiments is following the design created as part of the modelling security threats course. Students need to take modelling security threats to participate in Experiments.
[8] Not in combination with 201800177.