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Master's Programme in Mathematical Statistics

  • Number of credits 120 Credits
  • Study time 2 years (full time)
  • Level Master’s Degree
  • Starting Autumn Term 2020

Do you want to hone your analytical powers, learn to process reams of data and make this data sing? In this digital age, with an explosion in both the amount of data collected and in the computational power at our disposal, there is enormous demand across all segments of the economy for highly trained statisticians. Our programme will stretch your mind, increase your statistical prowess and equip you with a solid theoretical foundation for tackling the data-driven challenges of the future.

While studying

You will be part of a human-sized Master's programme hosted by the Department of Mathematics and Mathematical statistics. The small-scale of the programme allows for individualised learning, and for richer and more personal interaction between students and teachers, and is one of its main attractions. All incoming Master students are assigned a mentor from one of our main research groups – Biostatics/bioinformatics, Functional data analysis & spatial statistics, and Statistical learning & inference. The mentor follows the student through the programme, giving advice on the choice of courses and thesis topics, as well as on applications to PhD programmes.

Opportunities for exchange studies abroad

Beyond the programme's core courses and thesis projects, there is a great flexibility about choosing courses from closely related fields such as mathematics and computer science. Teaching on the programme consists of a mix of traditional lectures, seminars and individual supervision on the one hand, and on the other hand extensive courses and projects based in a computer lab setting, in which one learns to master advanced data analytics and statistical software (R, Minitab, SPSS, ...). All teaching on the programme is done in English and by active researchers with a long experience of both statistical analysis and statistical consulting. 

Should you wish to you also have the opportunity of taking part in a semester-long exchange abroad at partner mathematics departments in Italy, Spain, the UK, China, South Korea and Kazakhstan as part of your studies.

Why Umeå?

The programme's greatest draw is its close connection to the life of the research groups in the department, which we hope you will take full advantage of. As a student on the programme, you will be able to work on research and thesis projects with some of our highly successful researchers, and to use the mentoring system as a gateway into the world of research.

Living as we do in the age of the data-driven economy, statistical skills are in high demand on the labour market. In addition some of our core courses, (and much of our research) lie in exciting "hot topic" areas such as machine learning, artificial intelligence, network science and big data. The employment prospects of our graduates are thus excellent.

Young city with rich cultural life

Finally, Umeå provides a highly attractive environment for studying. It is a young and fast growing city of around 120 000 inhabitants, of whom over 35 000 are students. This makes for a rich cultural life, with many pubs, cafés, restaurants, concerts and festivals. The city is home to Norrlands Opera and to Bildmuseet, a museum of contemporary art and visual culture. In 2014, Umeå shared with the Tallinn the distinction of being the European capital of culture.

The city is small, extremely safe and well-run, with an extensive network of bicycle paths allowing its denizens to cycle all year round. It is surrounded by beautiful nature – from the Umeå river, which freezes over in winter and becomes criss-crossed with cross-country skiing tracks, to Nydala lake and the Gammlia forest within the city limits, and to the vast and largely unspoiled countryside of forests, lakes and seashore just outside it. And of course studying in Umeå allows you to experience the Swedish way of life, with its well-delineated seasons and traditions, from Sankta Lucia in the dark of December to Midsommar in the overflowing light of June, with coffee and cinnamon buns throughout.

Read more about the department and Umeå University

 

Programme overview

Courses on advanced level:

Advanced Inference Theory
Advanced Probability Theory
Big Data and high-dimensional data analysis
Research in Mathematical Sciences
Design of Experiments and Advanced Statistical Modelling
Multivariate Data Analysis
Statistics in Genetics
Stochastic Processes
Time Series Analysis and Spatial Statistics

Elective courses:
You have a lot of flexibility to mix and match courses both from the various profiles of the programme, and from relevant courses in mathematics and computer science. Your mentor will help and advise on designing a tailor-made set of courses from the available options.

Research experience/Thesis work:
Research project in Mathematical Statistics
Thesis Project for the Degree of Master of Science in Mathematical Statistics (one year)
Thesis Project for the Degree of Master of Science in Mathematical Statistics

Career opportunities

Graduates of a master's programme in statistics have a wide range of opportunities available to them. Statistical skills are highly sought-after, for example, in IT, in the insurance sector, in the pharmaceutical industry and medical research more generally, in many government agencies, and in any context where large reams of data are to be analysed. And of course a master's degree is a natural and necessary preparation for entering a PhD programme and pursuing a career in statistical research within academia.

Application and eligibility

Master's Programme in Mathematical Statistics, 120 hp

Det finns inga tidigare terminer för kursen Autumn Term 2020 Det finns inga senare terminer för kursen

Second admission round for EU/EEA citizens

Programme starts

Autumn Term 2020

Type of studies

100%, Daytime

Study location

Umeå

Language

English

Eligibility

A Bachelor's degree or equivalent first-cycle qualification comprising of at least 180 ECTS or a corresponding qualification from an internationally recognised university. Specific entry requirements are at least 30 ECTS in Mathematics, at least 15 ECTS in Mathematical Statistics, and at least 7,5 ECTS in Programming Methodology, or equivalent. Proficiency in English equivalent to Swedish upper secondary course English B/6.

Selection

Academic credits

Application code

UMU-P5066

Application

The online application opens 16 March 2020 at 13:00 CET. Application deadline is 15 April 2020.

Application and Tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK900

Tuition fee, first instalment

SEK71,400

Total fee

SEK285,600

International admission round

Programme starts

Autumn Term 2020

Type of studies

100%, Daytime

Study location

Umeå

Language

English

Eligibility

A Bachelor's degree or equivalent first-cycle qualification comprising of at least 180 ECTS or a corresponding qualification from an internationally recognised university. Specific entry requirements are at least 30 ECTS in Mathematics, at least 15 ECTS in Mathematical Statistics, and at least 7,5 ECTS in Programming Methodology, or equivalent. Proficiency in English equivalent to Swedish upper secondary course English B/6.

Selection

Academic credits

Application code

UMU-M5066

Application

Online applications are now open. You will be transferred to Universityadmissions.se. Application deadline is 15 January 2020.

Application and Tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK900

Tuition fee, first instalment

SEK71,400

Total fee

SEK285,600

Contact us

Please be aware that the University is a public authority and that what you write here can be included in an official document. Therefore, be careful if you are writing about sensitive or personal matters in this contact form. If you have such an enquiry, please call us instead. All data will be treated in accordance with the General Data Protection Regulation.

Contact person for the programme is:
Peter Anton