7 Matematik Degree Programs in Sverige

Detta program passar alla som är intresserade av matematik och vill använda sina kunskaper till problemlösning och för att skapa nya matematiska modeller. Det ger dig också möjligheten att starta en akademisk karriär. I matematisk statistik och finansiell matematik studerar du kurser i matematik men du tränar också stokastiskt tänkande och statistikförmåga. Den innehåller kurser i t.ex. sannolikhetsteori, stokastisk analys, försäkringsmatematik och ekonomisk modellering.

Matematik är nyckeln till en framgångsrik karriär! Oavsett om du vill arbeta med programmering, AI, ekonomi, dataanalys, bioinformatik, teknisk design, datorsäkerhet, göra karriär inom natur- eller samhällsvetenskap, utveckling eller affärer, kommer en masterexamen i matematik att låta dig utveckla starka analytiska färdigheter som kommer att få respekt hos framtida arbetsgivare och kollegor. Matematiker är eftertraktade inom ett brett spektrum av yrken och kan se fram emot en utmärkt löneutveckling.

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.

Masterprogrammet i matematik är ett gemensamt initiativ av Matematiska institutionerna vid Stockholm University och Kungliga Tekniska Högskolan (KTH). Det är ett tvåårigt program på avancerad nivå och leder till en gemensam masterexamen i matematik från Stockholm University och 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.

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.

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.