Master in Computational Engineering
Computational Engineering (CompEng) is a full-time two-year (4-Semester) Master Program offered at VGU by the Ruhr-University Bochum. The language of instruction is English. An international program, open for students from all countries.
The Computational Engineering Master program prepares students in the theory and application of computer-based simulation techniques.
Simulation comes first - Computer-based simulation is an essential part in today's product development processes. Before building the actual product, engineers run extensive simulations in order to test their designs in a virtual environment. Let it be bridges spanning over wide rivers, medical devices saving lives or power plants providing the energy for all of us. None of these high-tech products of human ingenuity would exist without the predictions delivered by computer-based simulations.
Become a simulation expert - The job market has a growing need for professionals who are able to run and understand such computer-based simulations. Especially a country, which is rapidly developing its own high-tech industry, such as Vietnam, needs these people. Computational Engineering equips students with the key competences to become experts in this field and thus opens up excellent job opportunities in research and development.
Computer based simulation using realistic numerical models has become an indispensable tool in advanced engineering design. The interdisciplinary Master of Science Program Computational Engineering provides the key qualifications in mathematics, engineering mechanics and computer sciences required for the innovative design of high-tech engineering materials, structures and systems. Characterized by a synthesis of civil and mechanical engineering, numerical material modeling, advanced computational analysis methods and optimization techniques, the curriculum prepares students for a successful career either in industry or in academia.
During the course, students acquire key competencies in three essential areas.
1. Modelling of Real World Phenomena
Students learn fundamental techniques for the development of scientific models for real world phenomena. Examples include the mathematical description of balance laws for solids and fluids, non-linear material models or advanced subjects such as the propagation of cracks or fatigue problems.
2. Implementation in Software Systems
In various practical assignment and study projects, students gain hands-on experience in the implementation of scientific models in simulation software. During the course, a wide variety of different professional software systems such as Ansys, Mathematica or Matlab are used. In addition, students become familiar modern engineering programming concepts such that they can develop their own software systems.
3. Understanding Results
Based on their sound theoretical knowledge, students of Computational Engineering are able to understand, interpret and asses simulation results. During the studies, students are encouraged to develop a critical attitude towards the things they see on the computer screen and emphasis is laid on a thorough and critical review of program output.
In its special orientation and structure, Computational Engineering can be considered to be unique all over Asia.