Computational Science and Engineering

专业详情

Computational Science and Engineering (CSE) provides future-​oriented training in mathematics, computer science and at least two areas of application from the natural and engineering sciences.

Educational objective and career profile

Computational Science and Engineering differs from Computer Science. It also differs from traditional natural and engineering sciences, offering a third component in addition to theory and experiment. Computational Science and Engineering is interdisciplinary, application-​oriented, focuses on problem-​solving and is essentially based on the use of the computer.

Graduates of the CSE programme understand a problem from the scientific and technological point of view, and they have the skills necessary to perform a computer-​based analysis of a problem. They can communicate with specialists in the fields of mathematics, physics, chemistry, engineering sciences and computer science in their languages, and work with them to find computer-​based solutions to difficult practical problems. Accordingly, their field of activity lies in research and development in the industrial and university sectors.

Bachelor’s degree programme (180 credits)

The Bachelor’s degree programme comprises three years of study, but it is possible to complete the first year in another degree programme at ETH Zurich or another university.

During the first year, students are taught the fundamentals of mathematics, physics and computer science. During the second year, in addition to a deepening in the fundamentals of mathematics and computer science, they are instructed in the basics of the natural sciences and engineering.

In the third year, students study two compulsory core subjects, as well as one (small) specialisation (see below). Electives, case studies and a Bachelor’s thesis conclude the degree programme.

First year:
Mathematics, Physics, Computer Science
(or first year completed in another degree programme, except Architecture, Materials Science and the Public Policy programme
[Professional Officer])
Basic courses from:
Mathematics, Computer Science, Engineering and Natural Sciences
Core courses:
High Performance Computing, Machine Learning, Software Design
One field of specialisation selected from:
Astrophysics, Physics of the Atmosphere, Chemistry, Fluid Dynamics, Systems and Control, Robotics, Physics, Computational Finance, Electromagnetics, Geophysics, Biology
Electives, case studies, Bachelor’s thesis

For detailed information go to the pages in German Rechnergestützte Wissenschaften