Master of Mathematical Engineering (Leuven)

Master of Science

What can you find on this webpage?

Our (future) students can find the official study programme and other useful info here.

You can find information about admission requirements, further studies and more practical info such as ECTS sheets, or a weekly timetable of the current academic year.

Are you a future student?

Be sure to first take a look at the page about the Master of Mathematical Engineering.

There you can find more info on:

- What’s the programme about?

- Starting profile

- Admission and application

- Future possibilities

- Why KU Leuven

- Contact

- ...

1. Competent in one or more scientific disciplines
- (1)Possesses specialized knowledge in the field of Mathematical Engineering:
o Design, analysis, implementation and use of mathematical models
o 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:
o Industrial process control
o Data mining
o Scientific computing and simulation
o Cryptography
- (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 in 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.

The graduated master:

  • During the practice of the engineering profession, is guided by his or her scientific and technical knowledge.
  • Has an engineering attitude that enables him or her to formulate solutions to complex problems, taking into account relevant constraints of an economic, legal, social, ... nature.
  • Is aware of his or her social and ethical responsibility and can act accordingly.
  • Has a willingness for open communication and cooperation, both with engineers within and outside the discipline, and with other actors in the professional field.
  • Has insight into the broader role that engineers play in society.
  • Shows willingness to keep abreast of new scientific and technical evolutions, and to approach them with a critical mind.

Educational quality of the study programme

Here you can find an overview of the results of the COBRA internal quality assurance method.

Educational quality at study programme level

Blueprint
Bestand PDF document Blueprint_MA_Engineering Science_Mathematical Engineering.pdf

COBRA 2019-2023
Bestand PDF document COBRA-fiche_MA_Mathematical engineering_2022-2023 WIT-2023.pdf

COBRA 2015-2019
Bestand PDF document COBRA-report_MA_Mathematical Engineering.pdf

Educational quality at university level

  • Consult the documents on educational quality available at university level.

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