Master's programmes

Main content

Mathematics or Applied Mathematics

The Master’s programme in mathematics consolidates the knowledge acquired in the ETH Zurich Bachelor’s degree programme and leads to a Master's degree either in Mathematics or in Applied Mathematics.

To obtain a Master's degree in Mathematics, students can choose from a broad range of courses and seminars. The requirements for the Master's degree in Applied Mathematics are similar, but students are required to focus on an area of applied mathematics and select an application area.

Read more

Computational Science and Engineering

This Master's degree programme is a response to the rapid progress in computer technology and numerical methods which has brought about a fundamental change in both research and industrial development. It rounds off the knowledge acquired in the Bachelor's degree programme.

Read more


This programme is aimed at a wide variety of students who are interested in statistics. A Bachelor's or Master's degree, a solid background in mathematics and computer science, as well as excellent grades, are expected. The Master's degree programme requires 90 credit points in total: 60 credits from core and elective courses from both statistics/mathematics and a field of application, and 30 credits from the Master's thesis.

Read more

Data Science

The specialized Master's degree programme in data science, offered in collaboration with the Department of Computer Science as well as the Department of Information Technology and Electrical Engineering, provides a high quality education geared towards nurturing the next generation of data scientists. It is a two-year programme fully taught in English.

Read more

Quantitative Finance

This Master's degree programme offers its prospective students advanced training in quantitative finance. One of its special features is the combination of economic theory of finance with mathematical methods (probability theory, statistics and numerical analysis) for finance and insurance.

Read more

Page URL:
© 2017 Eidgenössische Technische Hochschule Zürich