Master of Science (MSc)

Computational Science and Engineering

The master's degree offers the opportunity to deepen knowledge from the bachelor's degree and to specialise in future-oriented topics such as AI-supported simulations, high-performance computing or specific industry applications (e.g. medical technology, energy technology). Through projects with industry or interdisciplinary research topics, the master's programme is strongly application-oriented. This practical experience paves the way to attractive career options. A master's degree in CSE opens doors to management positions, innovative development departments and doctorates - in a field that is becoming increasingly important worldwide.

More about the course

Computational Science and Engineering (CSE) focuses on solving complex problems in the natural sciences, engineering, medicine and life sciences using modern computer methods. Students learn to develop mathematical models, carry out simulations and interpret the results in a practical way.

The focus is on the interdisciplinary combination of mathematics, computer science and engineering in order to apply and further develop future-oriented technologies such as big data, AI and high-performance computing. The aim is to equip students to solve real-world problems in science, industry and research.

Academic Degree

Master of Science (MSc)

Type of Study

full-time

Study Curriculum

Information on the study curriculum

Application

Information for applicants

Admission regulations

further information

Start of Study

each summer and winter semester

Orientation Offer

Language of instruction

German and English

Admission Requirements

no restriction

ECTS Credits

120

Standard Period of Study

Offers for prospective students of the CSE master’s programme

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Study objectives

The aim of the master's programme in Computational Science and Engineering (CSE) is to provide graduates with interdisciplinary skills in the fields of mathematical modelling, optimisation and numerical simulation of real processes in the natural and engineering sciences with a focus on research and practical application.

The programme focuses on imparting broad application-oriented mathematical knowledge, specialist knowledge in mathematical modelling, optimisation and numerical simulation of real processes in the natural and engineering sciences.

Graduates of the master's programme in Computational Science and Engineering (CSE) also have the following skills:

They are able to grasp complex problems from the fields of natural sciences and engineering and independently model them mathematically.
They are able to develop suitable numerical methods and implement them efficiently on high-performance computers.
They are able to evaluate the simulation results independently.
They are able to independently lead a research group and plan projects.

Programme structure

The CSE degree programme is a cooperative study programme between Ulm University and Ulm University of Applied Sciences. This unique alliance perfectly combines the research orientation of the University with the practical orientation of the University of Applied Sciences.

The master's programme includes the following compulsory courses:

Compulsory modules

Compulsory elective modules in the fields of...

…engineering and natural sciences (18-36 CP)
…computer science (0-18 CP)
...applied mathematics (6-24 CP)

These modules can be selected from almost the entire range of courses offered by Ulm University and Ulm University of Applied Sciences. Both institutions are responsible for their own programmes. The flexible choice of courses allows you to set your own individual focus.

Routes abroad

Study abroad

A great way to broaden your horizon in a subject area is to study at a foreign university. Students in the CSE programme can apply for one or two semesters abroad at numerous universities, both throughout Europe within the framework of the ERASMUS programme and outside Europe. If lectures are not required, internships and theses at other universities are also possible.

Ulm University has exchange agreements with over 100 universities in 26 countries. CSE students can also choose from the programmes offered by Ulm University of Applied Sciences.

International Office of Ulm University

International Office of Ulm University of Applied Sciences

Please check out our subject-specific exchange opportunities and experience reports here ...

Flow simulation

Lecture in the degree programme

Alumni afternoon at the CSE workshop

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Fields of work

Work in research and development teams in various industries, qualified for management positions
Scientific research activities in universities and institutes
Method development
Simulation software development
Teaching at a higher education institution
and many more

All of the above career fields are also open to graduates at an international level.
A master's programme also opens up the possibility of doctoral studies.

Dr Tim Wagner, Head of Development, Hydraulics and Cooling Circuits, Envola
CSE perfectly combines my interests in science, technology and IT. I work in product development at Envola. The broad-based degree programme helps me to take a different perspective and think outside the box during development.

Laura Wundke, PhD student, Institute of Legal Medicine, LMU Munich
Biomechanics runs like a red thread through my CV. First a bachelor's degree in medical engineering, then a master's degree in CSE with my study objects still related to biomechanical topics. I am now doing my doctorate at the Institute of Forensic Medicine at the Ludwig Maximilian University of Munich, in the Department of Biomechanics and Accident Research.

Studying and living in Ulm

Welcome to the most liveable city in Germany. In Albert Einstein's birthplace, science, leisure, top employers and culture come together in a unique way. Top locations and events such as the Ulmer Zelt, Nabada or the Donaufest attract visitors to the historic streets. Here you feel at home!

Events

Contact

Student counseling

University Ulm

Fakultät für Mathematik und Wirtschaftswissenschaften

Beate Schaupp

Email: beate.schaupp(at)uni-ulm.de

Room: 2.25

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