Learning outcomes

map2m  2016-2017  Louvain-la-Neuve

 The Master in Mathematical Engineering is an interdisciplinary engineering master centred on the notion of mathematical model that has become instrumental in engineering sciences. Through a training in modelling, simulation and optimization (MSO), the students learn to design, analyse and implement mathematical models to be applied to complex systems of the industrial or corporate world, and to create efficient strategies to optimize their performance.

The mandatory courses provide the students with the necessary common skills in MSO. They span the domains of numerical analysis and scientific computing, dynamical systems, matrix computations, stochastic models, optimization models and methods.

Students are moreover offered several coherent lists of courses, called “options”. Some of the options provide them with advanced skills in various branches of MSO: optimization and operations research, dynamical systems and control, and computational engineering. The other options pertain to data science, financial mathematics, cryptography & information security, biomedical engineering, business risks and opportunities, and launching of small and medium-sized companies.

Below is the competency framework common to all the engineering masters. The Master in Mathematical Engineering distinguishes itself by the interdisciplinary engineering scope of the competencies and by the fact that modelling-related competencies are strengthened by the strong MSO background acquired by the students.


On successful completion of this programme, each student is able to :
1.demonstrate mastery of a solid body of knowledge of the fundamentals of science in general and engineering sciences in particular, which will allow you to understand and solve problems relating to engineering:

 


2. organise and carry out a procedure in applied engineering to develop a product (and/or service) that meets a need or solves a particular problem:

 


3. organise and carry out a research project in order to understand a physical phenomenon or a new problem relevant to the discipline

4. contribute as part of a team to the planning and completion of a project while taking into account its objectives, allocated resources, and constraints

5. communicate effectively (orally or in writing) with the goal of carrying out assigned projects in the workplace. Ideally you are able to communicate in one or more foreign language in addition to French

6. Demonstrate that you are able to do your job with a professional conscience and in a socially responsible manner. Show that you can evaluate the socio-technical relevance of a solution before putting it into place.