Applied Mathematics - Master’s Year 1

Program Objectives

The "Advanced Mathematics" Major provides students with advanced training in the field of analysis (functional analysis, convex analysis) and probability (in-depth analysis of processes).

The natural progression opportunities available to students of the program include the 2nd Year of the Master’s Degree in Data Science (M2 MASH), Financial Mathematics (M2 MASEF) or more theoretical mathematics (M2 MATH).

The course aims to develop students' skills by consolidating theoretical and practical foundations in analysis (functional analysis, numerical calculation, etc.), probability (stochastic modeling, process theory, etc.) and statistics (stochastic modeling, learning methods, etc.), while opening up to other disciplines (finance and actuarial science).

Training objectives :

  • Acquire solid knowledge of Applied Mathematics (probability and statistics, optimization and digital analysis) ;
  • Learn about developments in Mathematics and tackle open questions and current issues ;
  • Develop our students’ skills by consolidating their knowledge of the theoretical and practical foundations of analysis (functional analysis, numerical calculation, etc.) ;
  • Prepare students to study other disciplines (such as Finance and Actuarial Science).
Types of education
Initial training
Language(s)
English
ECTS Credits
60 credits
Internship
Optional Internship
Capacity
Type of Diploma
National diploma
Academic Year
2025/2026

Educational team

  • Pierre CARDALIAGUET

    University professor

    Program supervisor

  • Paul PEGON

    Associate Professor

    Program supervisor

  • Secretariat

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The challenges of the ecological and social transition in the Master's degree programs

Several courses and tools are offered to students in the Master’s program, regardless of their specialization