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Mathematical Engineering

Course Description

This Master's programme is unique in Flanders and is supported by high quality research that has led to several spin-off companies.

The ever increasing computer capacity for treatment of data, storage of measurements and sata, and computing models, offers solutions to important challenges in business and society. Often mathematical techniques are crucial. A few examples:

- How does an auto-pilot work?
- How do you trace credit card fraud?
- How do you find out which genes play an important role in cancer?
- How do you simulate the evolution of greenhouse gases in the atmosphere?
- How do you determine the value of financial products such as options?
- How do you compress the images of fingerprints?
- How do you compute airplane noise?
- How do you optimize the process in a chemical reactor?
- How do you analyze customer data and model consumer profiles?
- How do you find abnormalities in brain images caused by epileptic seizures?

At first sight, these applications have little in common. However, for each of those, large amounts of data and various models are available. Mathematical techniques are crucial for the efficient treatment of these data and for fast and accurate simulation and optimization.

This is an initial Master's programme and can be followed on a full-time or part-time basis.


The programme aims to train engineers for the Information Technology industry where modelling and mathematical computing play a prominent role. Mathematical engineering includes the design, analysis, implementation and use of mathematical models and techniques. More specifically, it covers large scale data mining, numerical algorithms and statistical methods for monitoring, control and optimization of complex industrial and information systems.

At the end of their studies, the students will have acquired
- a profound knowledge of applied mathematics and statistics;
- specialized knowledge of modelling and computing;
- skills to apply these techniques to industrial problems;
- skills related to the application of information technology;
- the intellectual ability to analyse and solve problems;
- sufficient scientific training for participating in scientific research;
- capabilities of leadership and social skills, insight in ethical, social and economical frameworks;
- the skills to independently obtain new insights, methodologies and results related to the masters programme and to apply these to a research or industrial context.

Career paths

Mathematical engineering is becoming increasingly important in the knowledge industry. Often, young companies are active in this sector. In business and the entire society, systems with increasing complexity are used,and more tasks are carried out by computers. Many holders of the master's degree start their careers in Research and Development departments of high-tech companies or at the university. In addition, there are many opportunities in the telecom, financial and insurance businesses, the chemical industry and the medical sector.

- Industrial process control: BASF (chemistry), IPCOS (process control), Verhaert (aerospace technology)
- data-mining: Norkom (fraud detection), Silicos (pharmaceutical industry)
- image processing: Medicim (medical applications), Materialise, DENTSPLY (rapid prototyping)
- scientific computing:) LMS (virtual prototyping), Numeca (fluid dynamics)
- cryptography: government and banking.

The Sections Numerical Analysis and Applied Mathematics (Department Computer Science) and STADIUS and COSIC (Department Electrical Engineering), that organize the master's programme, hire collaborators every year in the framework of research projects. Both sections are part of the KU Leuven Centre of Excellence OPTEC (Optimisation in Engineering) and of national and international collaboration networks.

Entry Requirements


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