24 monthsProgramme duration
85,000 SEKTuition Fee/year
15 Jan, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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 for different purposes. In this programme you take at least 45 ECTS credits in mathematical statistics at Master’s level, and write a Master´s thesis of 30 ECTS credits. You can choose to take the remaining (at most) 45 ECTS course credits in mathematics or numerical analysis. You can also choose to take courses in other subjects such as computer science, or, if you are aiming for a career in a specific applied field, courses in that field. Examples include courses in economics, molecular biology and bioinformatics. If you intend to proceed to a PhD you should take courses with a high degree of theory content, while if you are aiming for a career outside academia you should take courses that cover a wide range of statistical models and methods.
Questions about the programme and studying at Lund University?
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We will get back to you as soon as possible.
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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 for different purposes. In this programme you take at least 45 ECTS credits in mathematical statistics at Master’s level, and write a Master´s thesis of 30 ECTS credits. You can choose to take the remaining (at most) 45 ECTS course credits in mathematics or numerical analysis. You can also choose to take courses in other subjects such as computer science, or, if you are aiming for a career in a specific applied field, courses in that field. Examples include courses in economics, molecular biology and bioinformatics. If you intend to proceed to a PhD you should take courses with a high degree of theory content, while if you are aiming for a career outside academia you should take courses that cover a wide range of statistical models and methods.
Questions about the programme and studying at Lund University?
Fill in our contact form
We will get back to you as soon as possible.
Admission Requirements
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
International
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