Computational Methods in Engineering

The study programme on computational engineering started at Leibniz University Hannover in 2001, motivated from the broad research activities in that field. We recognized the need for specific training in that field to educate young professionals who are competent to perform sophisticated modelling tasks and judge the results from those computations.

Semester dates, module handbook, information on exams

Information for students

INFORMATION FOR PROSPECTIVE STUDENTS

WHAT IS COMPUTATIONAL METHODS IN ENGINEERING?

Nowadays, powerful commercial codes are available in almost every discipline and in industrial usage. Young professionals must be trained for related modeling techniques and judgement of computational results. In addition, the development of new sophisticated computational methods is currently under research. This will enable much more detailed modeling of processes in engineering which would consider multiple length-scales, multi-physic interactions, huge structures and systems, and long term predictions considering random effects and similar parameters.

A glimpse into research:

A good example for our current research activities in computational engineering is the development of a novel virtual surgery planning system. Based on models for the bio-mechanical behaviour of bones treated with artificial implants, a parametric framework is implemented into an artificial reality frame to enable medical doctors for individual pre-operative planning. The total computation costs are demanding even with today’s technologies, thus sophisticated error controlled model reduction techniques have to be developed.

WHAT DO I LEARN DURING THE STUDIES?

The Master's programme is a two-year accredited graduate course
First and second semesters: mandatory classes related to sophisticated skills in Computational Engineering, elective classes
Third semester: possibility to go abroad or do an internship within the industry or at a university abroad
Scientific work: Master's thesis (fourth semester), interdisciplinary project (second or third semester)

Graduates ...

will be proficient in methods dealing with mathematics and information technology, as well as engineering modelling of simulation methods widely used in the industry
will be self aware of the social, economical, and ecological significance and risks of the analysis they make.
understand the current state of art in science and, on this basis, will develop the ability to analyse specific problems according to scientific methods. Economical practice and transdisciplinary team work will be covered of course.
learn to apply and deepen their previously acquired theoretical knowledge in engineering tasks on complex problems in practice.

Teaching Language

All compulsory courses are held in English. Elective courses are held in English and German. Applicants must provide proof of English C1 level and German B1 level (information on language certificates).

The Curriculum

Have a look at the

module overview / module catalogue

Your Teachers

Prof. Nackenhorst, Course Adviser

Prof. Dr.-Ing. Udo Nackenhorst

Phone

+49 511 762 3560

Fax

+49 511 762 19053

Email

nackenhorstibnm.uni-hannover.de

Web

www.ibnm.uni-hannover.de/nackenhorst

Address

Appelstraße 9a
30167 Hannover

Building

3408

Room

123

Prof. Dr.-Ing. Udo Nackenhorst

Phone

+49 511 762 3560

Fax

+49 511 762 19053

Email

nackenhorstibnm.uni-hannover.de

Web

www.ibnm.uni-hannover.de/nackenhorst

Address

Appelstraße 9a
30167 Hannover

Building

3408

Room

123
Prof. Beer

Prof. Dr.-Ing. Michael Beer

Phone

+49 511 762 5986

Fax

+49 511 762 4756

Email

beerirz.uni-hannover.de

Web

www.irz.uni-hannover.de/beer

Address

Callinstraße 34
30167 Hannover

Building

3407

Room

110

Prof. Dr.-Ing. Michael Beer

Phone

+49 511 762 5986

Fax

+49 511 762 4756

Email

beerirz.uni-hannover.de

Web

www.irz.uni-hannover.de/beer

Address

Callinstraße 34
30167 Hannover

Building

3407

Room

110
Prof. Neuweiler

Prof. Dr. sc. nat. ETH Insa Neuweiler

Phone

+49 511 762 3567

Fax

+49 511 762 3777

Email

neuweilerhydromech.uni-hannover.de

Web

www.hydromech.uni-hannover.de/neuweiler

Address

Appelstraße 9a
30167 Hannover

Building

3408

Room

129

Prof. Dr. sc. nat. ETH Insa Neuweiler

Phone

+49 511 762 3567

Fax

+49 511 762 3777

Email

neuweilerhydromech.uni-hannover.de

Web

www.hydromech.uni-hannover.de/neuweiler

Address

Appelstraße 9a
30167 Hannover

Building

3408

Room

129
Dr. Broggi

Dr. techn. Matteo Broggi

Phone

+49 511 762 5756

Email

broggiirz.uni-hannover.de

Web

Broggi

Address

Callinstraße 34
30167 Hannover

Building

3407

Room

114

Dr. techn. Matteo Broggi

Phone

+49 511 762 5756

Email

broggiirz.uni-hannover.de

Web

Broggi

Address

Callinstraße 34
30167 Hannover

Building

3407

Room

114
Dr. Fragkoulis

Vasileios Fragkoulis, Ph. D.

Phone

+49 511 762 5826

Email

fragkoulisirz.uni-hannover.de

Web

Fragkoulis

Address

Callinstraße 34
30167 Hannover

Building

3407

Room

119

Vasileios Fragkoulis, Ph. D.

Phone

+49 511 762 5826

Email

fragkoulisirz.uni-hannover.de

Web

Fragkoulis

Address

Callinstraße 34
30167 Hannover

Building

3407

Room

119

Michał Mika, student of CME (2018)

Computational Methods in Engineering is an international master’s program with students from all around the world. The engineering courses are mainly in English. It’s also possible to take one or two soft-skill courses and choose from a variety of different language courses, if languages are what you like. The lectures on advanced methods in mechanics are strongly project-based, so you get the hands-on experience by programming and implementing the methods you learn in the courses, like non-linear finite element methods or stochastic approaches in engineering, which are currently of high interest at the institutes involved in the master’s program. The emphasis on the mathematics behind methods we implement helps us to understand the inner working and the limitations of the methods we use, while simultaneously providing us with the tools and expertise for a competent application in the upcoming industry.

Besides my interest in advanced mechanics and the computational approaches, I decided upon the master’s program in Computational Methods in Engineering at the Leibniz University Hannover because of the right balance between university and everyday life. Compared to other cities like Aachen or Göttingen that are known for their universities, our city is not overrun with students and is certainly not solely focused around the university life. Thanks to that, Hanover does not become dead on the weekends and holidays, when most of the students visit their friends and families elsewhere. Moreover, Hanover is a medium-sized city with lots of parks and nature in close proximity. Take that into account and you’ll get all the perks of big cities, like a proper choice of shops, cafés, bars and restaurants, along with a nice environment for studies with all the options for necessary breaks in between.

WHICH JOB OPPORTUNITIES DO I HAVE?

With your interdisciplinary skills, as a graduate with a master’s degree in Computational Methods in Engineering you are considered versatile.

You can hold managerial positions in

construction companies
geotechnical engineering offices
in the calculation departments of the automotive supply industry
in mechanical engineering
in research and development departments of electrical engineering and IT firms
in biomedical engineering

AFTER YOUR STUDIES

Information - Workshops - Individual Consultation

We help you to better prepare yourself to the job market

M.Sc. Mona Madlen Dannert, Scientific Assistant

"...I enjoy a regular scientific exchange with other PhD students from multiple universities in Germany..."

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Having discovered my enthusiasm for mechanics during my Bachelor studies in "Civil and Environmental Engineering", I decided to do my Master studies in "Computational Engineering". This way I was able to focus on the mathematical and mechanical background of computational simulations in engineering application.
In 2016 I graduated and started as a scientific assistant at the "Institute of Mechanics and Computational Mechanics"(IBNM), Leibniz University Hannover, with the aim to gain my PhD. After being mainly involved in teaching duties during my first year at IBNM, I am now able to deepen my research topic in the field of stochastic finite element methods. As a member of the research programme "SPP1886: Polymorphic Uncertainty Modelling for the Numerical Design of Structures", I enjoy a regular scientific exchange with other PhD students from multiple universities in Germany, who work in similar fields of research.

In future, I may work at industrial research departments or at university.

M. Sc. Matthias Prues, Engineer at AVL Group

"Now I am working at different projects in structural mechanics with the FEM for mainly turbocharger and motorparts for different customers..."

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I decided to study "Computational Methods in Engineering" because of its diversity of topics. The programme had the best mix of study modules with the aim to combine them and to learn a new calculation method with the finite element method (FEM). The master studies gave me the best possibility to add extracurricular studies like language courses (Spanish and Chinese), Network Management or Robotics.
After my master’s thesis in 2016 about stair-climbing robot-systems, I travelled for four months and then started a job at AVL Schrick GmbH in Rüsselsheim, which is a part of the AVL Group. Starting as a resident engineer, I was mainly involved in projects in Control Unit Testing (HiL). After a few months I changed my field of activity at AVL to calculation engineering. Now I am working at different projects in structural mechanics with the FEM for mainly turbocharger and motorparts for different customers e.g. original equipment manufacturers (OEMs) or suppliers.