Master Mathematics

RNCP: 39416

  • course: not concerned
  • area: STS (Science, Technology and Health)
  • Type of training : Master Degrees
  • ECTS credits 120
  • Level of education at the end of training Baccalaureate + 5 or equivalent
  • Training scheme initial training
  • Alternating training immense
  • Training locations Technopole site

Training summary

The first year of the Master's program (M1) includes courses in English, mathematics, and general computer science. The M1 Mathematics program, combined with the Bachelor's degree in mathematics, specifically covers the written component of the competitive examination for secondary school teachers of mathematics (agrégation).

The second year of the Master's program (M2) includes introductory research units in mathematics, logic, discrete mathematics, and fundamental computer science, with the aim of preparing students for doctoral studies. A range of options allows students to choose between preparing for the competitive examination for secondary school teachers of mathematics (agrégation) or focusing on research or data science.

Educational objectives and training opportunities

Educational goals : 

The research modules cover logic and software verification (related to the concept of proof and the use of the Coq proof assistant), algebra and formal computation (related to algorithms – programming in Python of Gröbner bases – and well-founded orders), automata, the history of mathematics (especially the history of numerical analysis) and graph theory (reconstruction and decomposition of graphs).

Courses directly geared towards professional development are also offered: preparation for the mathematics teaching certification exam, mathematics for Artificial Intelligence (AI) and data science. (data science).

Training opportunities:

Within the University of Reunion Island, the Faculty of Science and Technology (FST) offers diverse training programs closely linked to the latest developments in science and technology, and also to the strategic development sectors of the Reunion Island Region. The digital sector (and in particular the mathematics sector) is identified as one of the six strategic sectors of the Reunion Island Region (Source: Regional Economic Development and Innovation Scheme - SRDEII 2023).

The Master's program in Mathematics aims to provide, over two years following a Bachelor's degree in Mathematics, advanced training in mathematics for students preparing for careers in the service sector, particularly in higher education (preparatory classes for the Grandes Écoles – CPGE, universities), research, or business. Example: Big Data expert (data scientist) after internships during Master's and/or post-Master's studies.

The territory's need for mathematics teachers (including PhD-level teachers for preparatory classes for the Grandes Écoles) is significant, particularly given the young age of the population. While 61% of Réunion's 34,000 businesses have no employees, a small number employ more than 1,000 people, including multi-brand groups, insurance companies, large retailers, and airlines offering very attractive deals, especially for... data scientists graduates of a Master's degree in Mathematics including courses in probability-statistics and Computer Science.

Advantages of the training

This training, which is both general in mathematics and has a strong computer science focus (software verification, data science(Mathematics for AI) offers several possibilities: preparation for the mathematics teaching certification, career in data science , pursuing a doctorate (in mathematics or fundamental computer science), etc.

Teaching methods

In person

Duration and number of hours of training

M1: 377 hours

M2: 244 hours with the Computer Science option

M2: 278 hours with the Agrégation option

Expected start date of the training

September 1st

Course Description

The first year of the Master's program includes courses in English and general mathematics or computer science: classic modules in analysis, algebra, probability and statistics, computability, and mathematics for AI (machine learning or machine learning algorithm ). The M1 Mathematics program, combined with the Bachelor of Mathematics program, covers in particular the written program of the mathematics agrégation.

 

The second year of the Master's program (M2) comprises 250 hours of instruction spread over the first semester and the first half of the second semester, as well as a 2-month or 4-5 month internship depending on the chosen specialization. The research courses (185 hours) focus on the current research themes of the Computer Science and Mathematics Laboratory (LIM) at the University of Reunion Island (UR): logic, software verification, the link with the use of the Coq proof assistant, algebra and symbolic computation (link with algorithms – programming in Python of Gröbner bases – and well-founded orders), automata, the history of mathematics (particularly the history of numerical analysis), and graph theory (reconstruction and decomposition of graphs).

The optional courses entitled "Oral agrégation" allow students to regularly prepare and present agrégation lessons.

The link between training and research takes place in M1 projects, M2 modules and projects, during laboratory internships or during LIM seminars to which students are invited.

Targeted skills

The skills acquired during this training are in line with those of the RNCP record

Specific teaching methods

Not concerned

Internships and supervised projects

M1: 1 month internship with report and presentation and specific projects for the modules with report and presentation.

M2: a 4 or 5-month internship for students specializing in Computer Science, or a 2-month internship for those specializing in the Agrégation (teaching certification). Specific projects related to the course units are also planned for this year.

Cost of training

Registration fees are set annually by the Ministry of Higher Education, Research and Space and are available on our institution's website: Register at the University of Reunion

Expectations for admission to the training program

  • Demonstrate a good academic level of L3 Mathematics.
  • Demonstrate a consistent academic background in line with an application for a Master's degree in Mathematics.
  • To be capable of a certain degree of autonomy.
  • To have a coherent project.
  • Clearly present your career path.

General criteria for reviewing applications

  • Particular attention will be paid to grades in the mathematics modules of L3 Mathematics.
  • A cover letter will allow the candidate to justify the coherence between their background and the Master's program they are applying for.
  • The candidate will be able to present examples of work he has carried out independently: such as internships, completed dissertations, and validated MOOCs.
  • The cover letter will serve to justify the coherence of the project.
  • The CV will allow the candidate to highlight elements of their background that demonstrate a match with the requirements of the Master's program.

Recommended qualifications for admission to the training program

Mathematics degree

Application procedures

Depending on the student's situation, applications for admission to the first year of the Master's program (M1) follow three specific procedures (the national platform MonMaster, Études en France, Validation of Acquired Experience). For more information, please consult the university's student services page. Enroll in the first year of a Master's program

Conditions of access to training

Bachelor's degree + 3 years or equivalent.

Target audience

Students with a Bachelor's level in Mathematics wishing to continue in a Master's degree in mathematics with a view to various careers, such as higher education (including preparatory classes for the Grandes Écoles), research and data science.

Accommodation capacity

15 seats

Application period

The admission dates for the first year of the Master's degree (M1) are set nationally each year and are available on the platform. My Master

For admission to the second year of the Master's program (M2), the schedule is determined by the institution. It is available on the student services page of the university website: Students re-registering

Success rate

90% for diligent students

Insertion rate

Continuing Studies

Doctoral training or internships with a view to a career in teaching or in data science

Career opportunities

The sectors of activity and types of employment targeted by this training correspond to those listed in the RNCP record

  • Education
  • Research
  • Data science

Contacts

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