Studying virtually at the University of Zurich
Modules
Interdisciplinary Introduction to Machine Learning – Theory (3 ECTS)
This module provides an interdisciplinary introduction to machine learning and its applications across different fields, including medicine, law, linguistics, physical sciences and robotics. Students learn the fundamentals of supervised and unsupervised machine learning, reflect on limitations and vulnerabilities of ML systems, and critically assess the suitability of machine learning solutions for different types of challenges.
Term offered: Autumn Term 2026 or Spring Term 2027
Teaching: in English, Asynchronous – students can follow the course content independently and flexibly, without needing to attend live sessions
Assessment format: Remote online exam without proctoring. Graded pass/fail
Detailed module description in the UZH Course Catalogue
Systems for Data Science (6 ECTS)
This module focuses on the backend side of data science and introduces the technologies and systems needed to process and store large amounts of data efficiently and at scale. Students learn the principles of distributed systems and gain practical experience with data processing and storage systems, including massive parallel computation frameworks such as Apache Spark.
Term offered: Spring Term 2027
Teaching: in English, Asynchronous – students can follow the course content independently and flexibly, without needing to attend live sessions
Assessment format: Written exam with on-site proctoring. Graded
Studying at UZH: Important Dates
Autumn Term 2026 |
Spring Term 2027 |
|
| Application deadline: |
30. September 2026 |
20. February 2027 |
| Module booking opens: | 12. August 2026 and closes 6. October 2026 |
14. January 2027 and closes 10. March 2027 |
| Lectures are between: | 14. September 2026 and 19. December 2026 | 22. February 2027 and 4. June 2027 |
| Exam period or date: | 26. January 2027 (online, remote) | Depends on the module - usually the last week of lectures (26-30 May) or throughout June |
| Your Transcript of Records will be issued by: | 20. February 2027 | 22. September 2027 |
Application Process
Step-by-Step Guide
- Register for Mobility Online using this online-form Mobility Online Registration Form
- Upon your registration you will receive an email, containing your personal login for Mobility Online.
- Upload the required documents via Mobility Online to complete your application.
- Once your application has been accepted, you will receive further information on module booking at UZH.
- Book your modules and get started!
Required Documents
- Current academic Transcript of Records
- Copy of Passport or Identity Card
- Passport style picture (3:4, Min 400 and Max 700 Pixel, jpeg or png)
