Mathematics
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ScheduleDaytime schedule
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ECTS Credits120
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LanguageFrench
Description
The Master’s in Mathematics is designed to be highly flexible to best suit the students’ professional goals. Students will be guided by a programme director who will assist them in making the right course choices. Projects and placements will give them a real advantage on the job market. The Master’s in Mathematics (Careers in Finance and Big Data) equips students with the sophisticated probability and statistical tools, as well as the practical experience needed to successfully enter into these careers.
Access conditions
Do you already have a higher education qualification obtained in the French Community? Use our search tool to check whether your qualification grants you admission onto this Master’s degree and, if so, under what conditions.
Target audience
Students interested in mathematical and computational tools in banking, insurance, large financial platforms and data analysis.
Program and structure
The Master’s programme is very flexible and allows you to design a personal and coherent programme over the two years. It is an opportunity for students to think about the future and to define one or more professions that they may wish to pursue. Students choose a programme director who will guide them through the many options on offer so that they can make the best possible choices to prepare them for the careers they are interested in.
During the first year, an individual or group project will enable students to study mathematical subjects and their uses in greater depth. Students will also take courses in mathematics and other related subjects. The second year will be dedicated to a work placement and a dissertation.
Distribution of Credits
- Core courses in mathematics
- Courses and placements related to the specialist focus
- Dissertation
- Electives
Teaching profile
The programme description defines the expected learning outcomes at the end of the cycle (Bachelor's, Master's, etc.). The programme description defines the expected learning outcomes, i.e. what the student should know, understand and be able to achieve at the end of a learning activity, a teaching unit or a study cycle (Bachelor's, Master's, etc.). Learning outcomes are defined in terms of knowledge, expertise and soft skills.
At the end of the course, students will be able to:
- Use their acquired professional skills according to the objectives of the degree programme
- Demonstrate a high level of integrated mathematical knowledge
- Carry out large-scale projects
- Solve new problems in mathematics or in its applications in an innovative way
- Communicate clearly
- Adapt to different contexts.
For more information, consult the programme description for this study cycle below (in French).
Opportunities
This naturally leads to jobs in the banking and insurance sector. Depending on students' aspirations, jobs, possibly abroad, in the financial sector are also a possibility. A keen understanding of statistics combined with strong IT skills are also sought after by the consultancy sector and various other industries (e.g. pharmaceutical).
