Master

General Information

The master "Computational Science" was established in the winter semester 2013/2014 as an interdisciplinary program of the Faculties Mathematics, Physics and Medicine.

In the Master "Computational Science" you will gain the qualification to carry out independent research work. In this flexible program you strengthen your knowledge and skills depending on the areas of interest. After passed exams you receive the academic degree ‘Master of Science’

A beginning is possible in winter and summer semester with a study period of 4 semester. For a successful master study 120 LP (credit points) are necessary.

Scholarschips and international information

Please note, that there are no grants/scholarships/studentships connected to this program. For benefits please check www.base.elfi.info

‘Stipendien für Studierende’

Joining the Master Program from abroad:

Please visit the website of our international office for further information

Joining the programm

Please contact the student advisor for any assistance accordint to the formular:

For joining the programm you have to fill in an admitting formular.

Send the formular to the Chair of the examination board:

Prof. Dr. Tilo Wettig

Fakultät für Physik

Universität Regensburg

D-93053 Regensburg, Germany

Curricula

A link to a suggested curriculum is attached below.

Please note that this is a non-binding schedule. Your individual study plan can vary. If you have any question, please do not hesitate to contact the student advisor.

Curriculum for Computational Science

Course Objectives

The establishment of this course arose due to the focus of the University of Regensburg in the area of high performance computing. These students should be trained for industry as well as for scientific careers. They can exert diverse activities in areas of research and development, but may also pursue an academic career. We focus on the use of computational methods, especially the high-performance computing The program is designed to cross-link different scientific fields. Therefore students will benefit from an interdisciplinary training and expertise from three faculties.