Mathematical Engineering KU Leuven

Overview

KU Leuven organizes regular online info sessions. You can find more information on the KU Leuven website.

About the programme

Just how does an auto-pilot work? How do you determine the value of financial products such as options? How can one find abnormalities in brain images caused by epileptic seizures? Mathematical techniques have proven crucial for the efficient treatment of the underpinning data that answers these questions, providing fast and accurate simulation and optimisation. The Mathematical Engineering programme from KU Leuven will equip you to with the fundamental expertise necessary to handle, optimise and control data for the application of solutions to contemporary problems.

The emphasis is not on abstract mathematical theory, but on the application, the design, analysis, implementation and use of mathematical models and algorithms in order to solve mathematical problems from industry.

Programme strengths

• A broad range of elective courses allows the freedom to develop an individual study programme that’s tuned to your interest.
• The master is supported by high-quality research that has led to several spin-off companies, fulfilling a variety of applications in the real world.
• The programme is organised by the Departments Of Computer Science and Electrical Engineering and students can use the computer infrastructure of both departments.
• Students will become familiar with different fields of research which broadens their outlook and skill set.

Career perspectives

Many small dynamic young companies are active in the field of mathematical engineering. But even big players in materials, chemistry, automotive, aerospace, biomedical industries, as well as finance, are increasingly interested in mathematical engineering thanks to the ever-increasing complexity of mathematical models and more stringent environmental standards and comfort expectations. 

Many of our young graduates start their careers in the R&D departments of high-tech companies or matriculate into one of the university’s PhD programmes.