7 数学 Degree Programs in 瑞典

该课程适合所有对数学感兴趣并希望将其技能应用于解决问题和创建新数学模型的人。它还使您有可能开始学术生涯。在“数学统计和金融数学”中，您可以学习数学课程，但也可以训练随机思维和统计技能。它包含概率论，随机分析，保险数学和金融建模等课程。

数学是事业成功的关键！无论您想从事编程、人工智能、金融、数据分析、生物信息学、技术设计、计算机安全，还是想从事自然科学或社会科学、开发或商业领域的工作，数学硕士学位都能让您培养强大的分析能力，从而赢得未来雇主和同事的尊重。数学家在各行各业都备受追捧，并且可以期待丰厚的薪资增长。

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.

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.

数学硕士课程由数学系 Stockholm University 和皇家理工学院（KTH）联合举办。 这是一项为期两年的高级课程，可从KTH获得联合数学硕士 Stockholm University 学位。

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 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.