Mathematical Statistics - Master's Programme 24 months Postgraduate Program By Lund University |Top Universities
Subject Ranking

# 351-400QS Subject Rankings

Program Duration

24 monthsProgram duration

Tuitionfee

85,000 SEKTuition Fee/year

Application Deadline

15 Jan, 2025Application Deadline

Program 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.

Program 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

6.5+
90+
3+
A Bachelor’s degree of at least 180 credits or the equivalent, including at least 90 credits in mathematics, mathematical statistics, numerical analysis, scientific calculations and computer science, of which at least 45 credits must be in mathematics, including courses in multivariate analysis and linear algebra, at least 30 credits in mathematical statistics and at least 15 credits in numerical analysis, scientific calculations and/or computer science. English Level 6.

15 Jan 2025
2 Years
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Tuition Fee and Scholarships

Domestic Students

-
-

International Students

85,000 SEK
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

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A list of available scholarships around the world

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A scholarship application checklist

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