StudiesDegree programmes
Computational Methods in Engineering

Computational Methods in Engineering
(Master of Science)

© Institut für Baumechanik und Numerische Mathematik
© Institut für Baumechanik und Numerische Mathematik
Profile
Course type
postgraduate studies (master)
Standard Course Duration
4 semester
Part-time option

Part-time study is optional.

Course Start
Winter semester, Summer semester
Primary Language of Instruction
English, German
Special Requirements

Language certificate English or German (level C1)

Admission
Restricted admission
International

Stay abroad possible, but not obligatory.

Short Description

Nowadays, engineering without computer-assisted planning and calculation methods is inconceivable. In biomedical engineering, such methods contribute to the development of diagnostics and the possibilities for assessing medical conditions. In the development of vehicle navigation systems, they facilitate data processing for route planning as well as vehicle localisation and guidance. Not only did computer-aided simulation make it possible to build the tallest building in the world, it also improves the building’s energy efficiency.

Modelling and simulation programmes have therefore become indispensable methods of planning and analysis in many areas. At Leibniz Universität Hannover, the Master’s degree programme in Computational Methods in Engineering is interdisciplinary in nature. Graduates have an advanced knowledge of mathematics, computer science and mechanics, enabling them to resolve issues in a wide range of fields of work. The language of instruction is English; optional modules are offered in German.

Areas of Focus

  • Computer science
  • Mathematics
  • Mechanics
  • Modelling
  • Simulation
Course Content

At Leibniz Universität Hannover, the Master’s degree programme in Computational Methods in Engineering is noted for its interdisciplinary courses. This type of concept does not exist at any other university. Students have the opportunity to take courses offered by the Faculties of Civil Engineering and Geodetic Science, Mathematics and Physics, Mechanical Engineering and Computer Science. Graduates of this Master’s degree programme are proficient in mathematical and IT methods as well as the engineering modelling of the simulation methods that are widely used in industry today. They are self-critically aware of the social, economic and environmental significance of the analyses they undertake and the risks they involve. They are aware of the current state of science and, on this basis, develop calculation methods to analyse specific problems based on scientific methods. Economic behaviour and transdisciplinary teamwork are a matter of course. The Master’s degree programme involves a practical semester or, as an option, a semester abroad.

Recommended Abilities
  • Creative thought
  • An understanding of scientific principles, mathematics and modelling
  • English language skills (compulsory modules are delivered in English; optional modules are held in English and German)
Career Opportunities
  • Managerial positions in building firms,
  • geotechnical engineering offices,
  • computation departments in the automotive and supply industry,
  • mechanical engineering,
  • in R&D departments of electrical engineering and IT companies or
  • in biomedical engineering.
Admission requirements and application

Admission Requirements

An undergraduate degree in a related field of study, such as

Relevant for admission is the successfully completion of a Bachelor’s degree in an engineering field, with a high proportion of:

  • Mathematics (at least 15 ECTS credits)
  • Mechanics (at least 18 ECTS credits)
  • Computer Science (at least 8 ECTS credits)
  • Natural Science (at least 10 ECTS credits)

Requirements are good German or English skills (C1 level). Even within the all English-language track, we recommend basic knowledge of German for better orientation within the university.

It is also very useful to have excellent programming skills (e.g. Matlab, C++) as well as excellent knowledge in Numerical Methods (e.g. FEM), Structural Dynamics and Foundations of Probability Theory and Statistics.

The exact admission requirements can be found in the admission regulations: 

Application Deadlines

First-year students from Germany and the EU

  • June 1st – July 15th of the year for the winter semester
  • December 1st – January 15th of the year for the summer semester

First-year students from non-EU countries

  • April 15th – May 31st of the year for the winter semester
  • October 15th – November 30th of the previous year for the summer semester

Students resuming their studies and transfer students from Germany and the EU (application in a higher semester)

  • June 1st – July 15th of the year for the winter semester
  • December 1st – January 15th of the year for the summer semester

Students resuming their studies and transfer students from non-EU countries (application in a higher semester)

  • April 15th – May 31st of the year for the winter semester
  • October 15th – November 30th of the previous year for the summer semester

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Student Advisory Services
Address
Welfengarten 1
30167 Hannover
Building
Student Advisory Services
Address
Welfengarten 1
30167 Hannover
Building