Programme details | |
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Degree: | Master of Science (MSc) |
Discipline: |
Applied Mathematics
|
Duration: | 24 months |
ECTS points: | 120 |
Study modes: | full-time |
Delivery modes: | on-campus |
University website: | Mathematical Engineering |
The Master of Mathematical Engineering reveals the hidden technology behind nearly all aspects of modern life. Applications which otherwise have little in common, from financial products to medical scanners to wind farms, all process large amounts of data or are based on complex models. Mathematics is of critical importance to the future of these industries amid higher demands from customers and the environment.
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 Master in Mathematical Engineering 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.
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.
The programme’s primary component is the core technical education, covering a variety of advanced topics in mathematics, process control, system identification, numerical optimisation, numerical simulation of differential equations, scientific software, cryptography, and project-based learning, where students solve a problem that requires a combination of the knowledge and skills taught during the core education.
Secondarily, the students choose from a suite of elective courses to complement the core education. Selecting courses from multiple tracks provide a broad overview of the mathematical techniques and applications in engineering science. The elective courses include technical courses on mathematical approaches, as well as courses that are taught on other master’s programmes that focus on modelling and the application of these mathematical techniques.
The Faculty of Engineering Science at KU Leuven is involved in several Erasmus exchange programmes. For the Master of Mathematical Engineering, this means that you can complete one or two semesters abroad, at a number of selected universities.
The Faculty of Engineering Science offers two types of internships in all its master’s programmes: Industrial Experience and Industrial Internships.
Applicants must both be qualified and motivated to start our Master of Mathematical Engineering.
You have acquired fundamental training in mathematics and the sciences.
You are familiar with the engineering approach of problem-solving.
You are interested in bridging mathematical models and design methods used in industry and services.
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.
Find more information on the website of KU Leuven: