Master's Programme in Mathematics – Applied Mathematics and Statistics
Do you enjoy mathematics and want to use your skills to solve applied problems? In the Master's Programme in Mathematics, specialising in Applied Mathematics and Statistics, you will learn advanced methods for building mathematical models in science, technology and economics. Since the teachers in the programme are active researchers, you will also have the opportunity to study the theoretical aspects of applied mathematics and statistics.
Autumn 2023 Autumn 2023, Uppsala, 100%, On-campus, English
- Pace of study
- Teaching form
- Instructional time
- Start date
- 28 August 2023
- Language of instruction
- Entry requirements
A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university.
Also required is 90 credits in mathematics with 20 credits in probability theory, programming and numerical analysis.
Proficiency in English equivalent to the Swedish upper secondary course English 6. This requirement can be met either by achieving the required score on an internationally recognised test, or by previous upper secondary or university studies in some countries. Detailed instructions on how to provide evidence of your English proficiency are available at universityadmissions.se.
Students are selected based on an overall appraisal of previous university studies and a statement of purpose.
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- Application fee: SEK 900
- First tuition fee instalment: SEK 72,500
- Total tuition fee: SEK 290,000
- Application deadline
- 16 January 2023
- Application code
- Additional information
In addition to the general supporting documents, you also need to submit one programme-specific document: an Application Summary Sheet Pdf, 436 kB. (including your Statement of Purpose).
Check the application guide for information on how to apply and what other supporting documents you need to submit.
In the Master's Programme in Mathematics, specialising in Applied Mathematics and Statistics, you will learn to describe reality using mathematics. You will study the mathematical theory of random phenomena and advanced statistical methods for modelling in different areas. You will also obtain sound knowledge in dynamic systems and use it to solve problems in everything from biology and physics to economics and sociology.
The specialisation also offers the opportunity to study the mathematical aspects of the applications. The research in applied mathematics and statistics at Uppsala University focuses on areas such as time series analysis, big data and computer-aided proofs in analysis. We also have more application-oriented research, conducted in close collaboration with researchers in other fields.
During the programme you can expect to:
- learn advanced methods for building mathematical models in science, technology and economics,
- study the mathematical aspects of the applications,
- have freedom of choice - select courses that suit your interests, whether it is mathematical theory or applications.
You will also build a solid foundation for further doctoral studies if you want to pursue a career in research. The programme provides great freedom of choice, as you will be able to select courses that suit your interests, whether it is mathematical theory or applications.
Since all the teachers in the programme are also active researchers with many international contacts, your studies will be able to provide you access to the modern mathematical world.
You have a strong foundation and a deep interest in mathematics and statistics, and want to learn how to use them to solve real-life problems. You are extremely motivated and prepared to invest a lot of time and energy in your studies. English is no problem for you and you understand that studying mathematics at Uppsala University will take a lot of hard work and analytical thinking. You want an educational experience that challenges you.
The programme and specialisation leads to the degree of Master of Science (120 credits) with Mathematics as the main field of study. After one year of study, it is possible to obtain a degree of Master of Science (60 credits).
The programme consists of two main directions. In the first direction, you study dynamical systems and partial differential equations, and learn how to model them, using numerical methods. In the second, you learn about a variety of aspects of mathematical statistics, including Markov processes, Bayesian statistics, or an introduction to data science. You have the freedom to either combine the two directions or focus on one of them, combining it e.g. either with physics courses, in which you learn about how to apply mathematical methods, or with more courses in data science and machine learning.
If you go more in the first direction, you would start the first semester with a course in applied mathematics, a course in partial differential equations, as well as a course on scientific computing for partial differential equations. A highlight of your master's studies will be the project course on modelling complex systems. If you go more in the direction of mathematical statistics, you would start with an introduction to data science and a course on computer-intensive statistics and data mining, then follow it up with a course on the analysis of time series. The final semester of the programme consists of a degree project, in which you write an independent thesis on a topic of your choice. Many of our students use this opportunity to get opportunity to apply the methods they used to explore a real-life data set.
Courses within the programme
See the programme outline for courses within the programme.
Instruction is conducted mainly in the form of lectures, tutorials and seminars, and the language is English. The programme takes place in Uppsala.
The tutors belong to the various research groups at the Department of Mathematics. These groups are very active and hold regular seminars that Master's students are welcome to attend.
Faculty and research
The mathematical research in Uppsala has traditionally been dominated by analysis. You may have heard of Lennart Carleson who was awarded the Abel Prize or Arne Beurling who cracked the coding machine Geheimfernschreiber during World War II. They were both very prominent in harmonic analysis. Another strong area of research in Uppsala at the time was differential geometry.
During the 1990s internationalisation took place and our research has grown since, both in terms of the number of researchers and research areas. Financial mathematics came to Uppsala right after the internationalisation process began, and today we have both education and research in financial mathematics.
Mathematical skills are necessary for all industries where large amounts of information need to be processed. If you don't know what mathematicians outside academia do, it's probably because mathematicians usually have other titles. Did you know, for example, that there are mathematicians who work in medical research?
Our graduates work at, for example, Ericsson, Zettle (PayPal) and Swedbank. Some of the more common titles among our alumni are biostatistician and system developer. Furthermore, many of them work as different types of analysts. A new profession on the rise is data scientist.
The Department of Mathematics arranges a career day for mathematicians once a year. There, math students meet professional mathematicians who tell about their career paths. The department is also helpful with other types of contacts with professional life. Learn more about career support for mathematics students.
During your time as a student, UU Careers offers support and guidance. You have the opportunity to take part in a variety of activities and events that will prepare you for your future career. Learn more about UU Careers.
- Programme syllabus valid from Autumn 2023
- Programme syllabus valid from Autumn 2022, version 2
- Programme syllabus valid from Autumn 2022, version 1
- Programme syllabus valid from Autumn 2021, version 2
- Programme syllabus valid from Autumn 2021, version 1
- Programme syllabus valid from Autumn 2020
- Programme syllabus valid from Autumn 2019
- Programme syllabus valid from Autumn 2018
- Programme syllabus valid from Autumn 2017
- Programme syllabus valid from Autumn 2016, version 2
- Programme syllabus valid from Autumn 2016, version 1
- Programme syllabus valid from Autumn 2015
- Programme syllabus valid from Autumn 2014
- Programme syllabus valid from Autumn 2013
- Programme syllabus valid from Autumn 2012
- Programme syllabus valid from Autumn 2011
- Outline valid from Autumn 2023
- Outline valid from Autumn 2022, version 2
- Outline valid from Autumn 2022, version 1
- Outline valid from Autumn 2021, version 2
- Outline valid from Autumn 2021, version 1
- Outline valid from Autumn 2020
- Outline valid from Autumn 2019
- Outline valid from Autumn 2018
- Outline valid from Autumn 2017, version 2
- Outline valid from Autumn 2017, version 1
- Outline valid from Autumn 2016, version 2
- Outline valid from Autumn 2016, version 1