Professional Master Degree in Numerical Modeling and Computational Science

Aims and Objectives

This Master degree programme is open to science students wishing to gain experience in problem-solving using computational methods.

The spectacular increase in computer performance and accessibility has led to the development of numerical modeling and computational science, a powerful new method of scientific investigation complementary to traditional experimental and theoretical approaches. The technical and economic advantages of numerical simulation are now widely acknowledged, both in academia and industry:

While the ultimate aim of "virtual factories" might still be a long way off, numerical simulation provides a very efficient way of maximizing a company's performance. There is thus a growing need to educate people in numerical simulation and the employment prospects are excellent.

Numerical modeling and computational science challenge the traditional boundaries within sciences by bringing together people from different backgrounds to tackle real-world problems.

The development of innovative computer-based solutions to complex problems requires a pragmatic and cross-disciplinary approach, which is not usual in French university curricula. Science graduates often do not have a strong background in computing while computer science graduates may lack the physical insight needed for scientific and technical work.

Students following this multi-disciplinary training will acquire the necessary mathematical skills, physical insight and computational know-how and will learn to apply these to modeling and simulation of complex processes. They will therefore be highly adaptable, with great employment prospects. The programme also offers Physics courses accessible to graduates in Mathematics or Computer Science wishing to apply their skills in a technical or scientific environment. There is also a strong emphasis on integration in the working environment, with courses and practical lessons on quality, efficiency, leadership and team building, all given by professionals in human resources.

A multi-disciplinary education

Students in this Master degree programme will gain experience in

They will be able to choose their courses according to their different backgrounds and their professional aspirations. Each semester will be validated using the European Credit Transfer System (30 ECTS credits required each semester).

Many courses are common with other degrees, in particular with the professional Master in Mathematics for Modeling and Scientific Calculation.

The second year strongly focuses on modeling and high performance computation in the professional world, with teachers from industries and a training period of at least five months in a private or public entreprise.

Interaction with industry

A number of courses will be given by non-university professionals, introducing the students to computational tools used in companies to solve real-world problems.

A large part of the course will be dedicated to hands-on experience with widely-used computer packages. Students will be continuously assessed on individual work and collaborative projects, using weekly training records that they will be required to complete and return.

Students will also become acquainted with the constraints and requirements of working in a commercial environment, such as deadlines, team work, design criteria, standards, quality control, financial and ethical concerns. Each student will receive personal advice and coaching from professionals before the start of his/her placement in industry.

Scientific skills

The university teaching staff participating in this Master degree programme have through their research activities a wide experience in numerical modeling and simulation of various physical processes. They also have long experience in training PhD students who afterwards pursue their career in academia or in industry, in France and abroad. The objective of this Master is to stimulate and develop skills similar to those gained by PhD students, but in a shorter time, through a series of exercises based on relevant problems rather than extremely specialised issues. The qualities and skills to be developed include logical reasoning, perspicacity, perspective, responsiveness, efficiency, organization.

A European and international education

In today's workplace, knowledge of foreign cultures and languages is an essential asset. Research laboratories at the University have numerous international collaborations which greatly stimulate creativity. These relations, fostered over years for the benefit of research, will be extended to support teaching in this programme.

Colleagues from foreign universities and companies will be invited to give lectures or computer-based tutorials in English and will provide placement opportunities in their country. Students will be encouraged to spend one or two semesters abroad, within the European Erasmus Programme or other exchange schemes.

Computer facilities

Students have access to a well-equiped computer room. A personal computer, preferably a portable, is however highly recommended for preparing homeworks and presentations.

Training in industry

The last five months of the Master degree programme will be spent on a placement outside the University, in a commercial company or research centre, in France or abroad.

Further training in research

Students who wish to pursue their education by a PhD thesis will have the opportunity to do so in a joint project with industry.

List of courses

Prerequisites

Three-year university education (Licence) in science: Physics, Chemistry, Mechanical Engineering, Electrical Engineering, Geophysics, Computer Science, Applied Mathematics.

A good command of French is required. Admission of students whose native language is not French is subject to general rules set by the University.

The second year of the Master is an intensive, full-time degree programme, with about 500 contact hours, numerous homeworks, a two month project to prepare the placement in industry, which must last at least five months. The Master degree is therefore incompatible with a part-time job.

 

For further information, please contact

Pr. Mariko Dunseath-Terao

E-mail: mariko.dunseath-terao@univ-rennes1.fr

Institut de Physique de Rennes
Bâtiment 11B, Campus de Beaulieu
Université de Rennes 1
F-35042 Rennes cedex, France
Tel: +33 (0)2 23 23 56 60
Fax: +33 (0)2 23 23 56 62