Education
Tutorship for MSc Students
In general, each MSc D-MTEC Master student is required to select a professor from the D-MTEC as his/her/its tutor, ideally in the second semester. This tutor is responsible for approving the student’s supplementary course selection of the learning agreement. However, the supervision of the master thesis is not mandatory for the tutor. We refer to the MSc MTEC Regulations for details on the tutorship.
Please start by visiting our website to learn more about our research and, in particular, our labs. In general, we are looking for students with a strong technical background, especially in the fields of computer science and/or data analytics (data mining/machine learning).
For your application documents, please provide the following information in advance:
- Cover letter including a short motivational statement and your preferred lab,
- CV, and
- proposition of only supplementary courses (e.g., courses that begin with 363-XXX are not allowed since they refer to your main courses).
Please send your application documents to . Once we receive your application, we will forward your application to your preferred lab. Please note that incomplete or formally incorrect applications will not be reviewed. If we accept the tutorship, we will notify you by email.
As stated in the regulations, a tutorship is not offered for MAS students at D-MTEC.
We are looking for students with a strong technical background, especially in the fields of computer science and/or data analytics (data mining/machine learning). We do not require any mandatory courses. However, we strongly recommend taking one or more of the courses offered by our group, or courses related to the field of data analytics (e.g. 252-0220-00 Introduction to Machine Learning, 252-0535-00 Advanced Machine Learning, etc.).
If you are interested in writing your thesis with us, we would be happy to receive your applica- tion, consisting of a CV, a transcript of records, and a motivation statement outlining your topic of interest and identifying the potential host. For a list of possible topics, please check our webpage and contact the responsible person directly.
Semester and Thesis Projects
Bachelor/Master Thesis on Agentic AI in Education: Agents for Oral Student Examinations (ETH Zurich – Agentic Systems Lab, Lab Track)
This thesis project explores the use of Agentic AI systems in education, focusing on conducting oral student examinations with agentic AI. Students will work on an examination platform developed at ETH Zurich’s Agentic Systems Lab, which allows professors to upload course materials and automatically generate oral exam questions. The AI agent conducts examinations, asks follow-up questions, and evaluates responses in real-time. The thesis offers opportunities to contribute to the next generation of intelligent assessment systems by improving question generation, interactive reasoning, and evaluation accuracy, while investigating pedagogical and technological implications for higher education.
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