Program Overview

Program Overview

The Master of Science in Mathematics at EPFL is a leading center for mathematical education and research, including three institutes and a research center devoted to the major areas of pure and applied mathematics.

Program Objectives

The program's objectives are to provide mathematicians with an excellent command of fundamental mathematical tools and abstract reasoning. The core subjects of study are analysis, algebra, geometry, topology, and number theory. The Master of Science in Mathematics offers a high level of education, either in pure mathematics or in applied mathematics.

Simplified Study Plan

The Master's program consists of 90 ECTS credits.

Admission Criteria

This Master's program is consecutive to a Bachelor's degree in Mathematics obtained at EPFL. Non-EPFL degrees in the same fields are eligible on the basis of an application dossier and must be accompanied by excellent academic records. EPFL Bachelor's degrees in Physics or another field related to mathematics are also subject to a dossier-based analysis and are eligible if they are accompanied by excellent academic records. The acquisition of additional credits to fill any gaps may be required.

Teaching Language

The teaching language is English, with a few optional courses in French.

Diploma and Title Obtained

Upon completion of their Master's curricula, students obtain an EPFL Master of Science (MSc) in Mathematics. The diploma also gives graduates the right to use the title of EPF qualified Mathematician.

Program Details

• The research program in mathematical sciences has a strong international reputation.
• Collaborations with research groups and other universities offer interesting interdisciplinary challenges.
• Graduates in Mathematics are highly esteemed professionals, qualified for various careers in private companies, governmental institutions, or in academia.
• The Master's program provides a solid foundation for students planning to follow a PhD program in Mathematics.
• Having a strong background in analysis, abstraction, and reflection is necessary to solve complex problems.