7 Mathématiques Degree Programs in Suède

Ce programme conviendra à toute personne intéressée par les mathématiques et souhaitant appliquer ses compétences à la résolution de problèmes et à la création de nouveaux modèles mathématiques. Il vous donne également la possibilité de commencer une carrière universitaire. En statistique mathématique et mathématiques financières, vous étudiez des cours de mathématiques mais vous entraînez également la pensée stochastique et les compétences statistiques. Il contient par exemple des cours sur la théorie des probabilités, l'analyse stochastique, les mathématiques de l'assurance et la modélisation financière.

Les mathématiques sont la clé d'une carrière réussie ! Que vous souhaitiez travailler dans le domaine de la programmation, de l'IA, de la finance, de l'analyse de données, de la bio-informatique, de la conception technologique ou de la sécurité informatique, ou encore faire carrière dans les sciences naturelles ou sociales, le développement ou les affaires, un master en mathématiques vous permettra de développer de solides compétences analytiques qui forceront le respect de vos futurs employeurs et collègues. Les mathématiciens sont recherchés dans un large éventail de professions et peuvent s'attendre à une excellente progression salariale.

The joint master’s programme in Mathematics is hosted by world-leading experts and research groups at KTH and Stockholm University. Students specialise in their desired areas of mathematics while acquiring essential skills in problem-solving and logical reasoning. Graduates become industrial mathematicians, often data analysts, financial analysts or within software engineering, or go on to PhD studies at prominent institutions.

This is an academic programme designed for students with a strong interest in mathematics, mathematical statistics and scientific computing. Flexibility and individual adaptation are keywords. A vast variety of courses in mathematics, statistics and numerical analysis are available within the programme and can be combined with courses from all other science areas, economics and finance, engineering, humanities and social sciences available at our university or within an exchange programme with other universities. For students with a strong interest in pure mathematics, the programme offers a path of courses at a higher theoretical level that can be continued at Master’s and even further at PhD level. For those students interested in more applied areas, there is a high degree of flexibility in choosing course combinations suitable for certain professions.

The purpose of the Master’s programme in Mathematics is to give students advanced theoretical knowledge of mathematics together with practical skills to apply this knowledge both to mathematical problems and in applications of mathematics. A highly flexible structure that allows for individual adaptation, a diversified curriculum, a high theoretical level and an active research-oriented environment are some of the strongest features of the programme. The programme has two specialisations: Mathematics and Numerical Analysis. A vast variety of courses in all mathematical disciplines – pure and applied mathematics, numerical analysis and mathematical statistics – are available within the programme.

Le programme de maîtrise en mathématiques est une initiative conjointe des départements de mathématiques de Stockholm University et de l'Institut royal de technologie (KTH). Il s'agit d'un programme de deux ans au niveau avancé qui débouche sur un master conjoint en mathématiques de Stockholm University et de KTH.

The Master’s programme in Mathematical Statistics provides a broad spectrum of tools and methods for handling random phenomena occurring in scientific as well as industrial contexts. Within the programme, you can specialise in many different areas such as the modelling of economical, biological and environmental data. You study at least 45 credits in mathematical statistics at the Master’s level and write a Master’s thesis of 30 credits. The remaining (at most 45) credits can be used in additional mathematical statistics courses or, for example, mathematics or numerical analysis, as well as in other subjects, for example, computer science, economics, molecular biology and bioinformatics.