Without mathematical tools, there would be no internet search engines, no weather forecast, no security in banking. Mathematical models and techniques play an important role in automatic pilot technologies, the design of quieter cars, the optimisation of wind farms, medical scanners, etc. At first sight, these applications have little in common, but they all process a large amount of data. Mathematics is becoming critical in many applications because of increasing model complexity and higher demands from customers and the environment.
What's the Master of Mathematical Engineering all about?
The Master of Science in Mathematical Engineering 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 data, 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 greenhouses 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 optimise 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 optimisation.
Application deadline for 2018-2019
- 1 March 2018 (for non-EEA citizens)
- 1 June 2018 (for EEA citizens)
KU Leuven uses an online application system. You can download and submit your application form via www.kuleuven.be/application. Students with a Flemish degree can consult www.kuleuven.be/studentenadministratie.
The tuition fee for the current academic year is € 906.10 for EEA students and € 6,000 for non-EEA students. The tuition fee for the 2018-2019 academic year will be determined in the spring of 2018. Please consult the website for the most recent information: www.kuleuven.be/tuitionfees.
The program consists of a technical core education on advanced topics on mathematics, process control, system identification, numerical optimisation, numerical simulation of differential equations, scientific software, and a project where students solve a problem that requires a combination of knowledge and skills taught at the core education.
The students freely choose among the many elective courses. They are stimulated to select courses from different tracks in order to obtain a broad overview of techniques and applications of mathematics in engineering science.
The elective courses include technical courses on mathematical techniques, as well as courses that are taught in other Master’s programs that focus on modeling and the use of these mathematical techniques.
The Erasmus+ program gives you the opportunity to gain valuable international experience by completing (usually) one semester at a participating European university. Student exchange agreements are also in place with a number of Japanese and American universities. This arrangement does not lengthen the duration of your degree program, nor does it result in a separate degree.
It is also possible to complete an internship at a company abroad. Ask the internship coordinator for more information.
These studying abroad opportunities and internships are complemented by the short courses offered via the Board of European Students of Technology (BEST) network. The Faculty of Engineering Science is also a member of the international networks CESAER, CLUSTER, and T.I.M.E.
You can find more information on this topic on the website of the Faculty.
The program is generally perceived positively by alumni.
There are many elective courses, which gives freedom to develop an individual study program tuned to the student’s interest. This fact is often mentioned by students and alumni as one of the strong points of the program.
Since September 2014, the EC (Educational Committee) can rely on the expertise of the Industrial Advisory Board.
The program is organized by the departments of computer science and electrical engineering. The students can use the computer infrastructure of both departments. The students become familiar with different fields of research which broadens their view.
This is an initial Master's program and can be followed on a full-time or part-time basis.
Is this the right program for me?
The goal is to prepare students for a multidisciplinary context, i.e., the design of solutions of technical problems in a multidisciplinary environment, where mathematics plays an important role. In particular, the focus lies on technical skills in the context of process control, numerical simulation, data mining, cryptography, and visualization. The emphasis is not on mathematical theory, but the design, analysis, implementation, and use of mathematical models and algorithms in order to solve mathematical problems from industry. Therefore, most courses have home works or a project.
The program aims at bringing students in touch with industry that require advanced mathematical techniques.
Starting Master’s students should:
- have acquired a basic training in mathematics and sciences.
- be familiar with the engineering approach of problem-solving.
- be 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 Ph.D. programs.
1. Competent in one or more scientific disciplines
- (1)Possesses specialized knowledge in the field of Mathematical Engineering:
- Design, analysis, implementation, and use of mathematical models
- Numerical algorithms
In a context of simulation, identification, monitoring, control, and optimization of industrial systems and knowledge systems.
- (2)Possesses specialized knowledge in two or more of the following application areas:
- Industrial process control
- Data mining
- Image processing
- Scientific computing and simulation
- (3)Can creatively apply, expand, deepen and integrate knowledge of different fields of mathematical engineering.
- (4)Integrates the acquired knowledge into basic sciences and in a number of engineering disciplines and is capable of multidisciplinary thinking and acting.
2. Competent in conducting research
- (5)Can divide a complex realistic problem into sub-problems, and is able to structure these sub-problems into research questions and research strategies.
- (6)Can independently gather all the scientific information about a topic, assess its relevance and process the valuable aspects with attention to proper source indication.
- (7)Can establish, execute and adjust an independent research project about new technical and scientific methods.
- (8)Can gain new insights from generated results and discuss these insights critically.
3. Competent in designing
- (9)Can reformulate a design problem in specific design objectives.
- (10)Can design and implement mathematical techniques and algorithms in order to solve problems in application fields such as industrial process control, data mining, image processing, scientific computing and simulation, and cryptography.
- (11)Can design solutions for multidisciplinary problems, often with an open nature.
- (12)Controls the complexity of the design of mathematical techniques and algorithms by means of abstraction and structured thinking.
- (13)Can critically evaluate and report on design results.
- (14)Can handle the variability of the design process due to external circumstances or new insights.
4. A scientific approach
- (15)Has a systematic approach, critical attitude, and understanding of the specificity of science and technology
- (16)Can critically observe current mathematical theories, models, and methodologies in the context of engineering problems, and make a sound decision.
- (17)Can evaluate the efficiency and accuracy of methods.
- (18)Demonstrates academic integrity.
- (19)Is able to independently keep up with developments in their field.
5. Basic intellectual skills
- (20)Can independently reflect critically and constructively on their own thinking, decision making, and actions.
- (21)Can reflect critically and objectively on developments in their own field of engineering.
- (22)Can objectively consider positive and negative aspects of a solution, and select the most realistic, efficient and effective solution for a specific situation.
- (23)Can formulate a reasoned opinion in the case of incomplete or irrelevant information.
6. Competent in co-operating and communicating
- (24)Can communicate orally and in writing about his or her research and solutions in Dutch and English with colleagues and stakeholders.
- (25)Can work on a project basis: takes into account the limited resources (computing time, memory usage,...), can deal with deadlines, possesses pragmatism, can apply the basic techniques of project management.
- (26)Can efficiently work in groups and carry team roles.
7. Takes account of the temporal and social context
- (27)Is aware of the role played by mathematical processes in a complex and changing high-tech society (legal, economic, sociological, political and technical-industrial context).
- (28)Is aware of their social, ethical and environmental responsibility as a mathematical engineer and acts accordingly.
- Master of Welding Engineering (Sint-Katelijne-Waver)
Program taught in: