Skip to content
printicon
Main menu hidden.

Programming in statistics

  • Number of credits 7.5 credits
  • Level Master’s level
  • Study form Also available online
  • Starting Autumn Term 2022

About the course

In statistical work there is often a demand for specific analyses that cannot be done using menu-based statistical software. In such situations, programming skills are good to have. The purpose of the course is to provide an introduction to such statistical programming.

The course is based on the statistical work and programming environment R, which is an implementation of the programming language S. This environment is well on its way to become a de facto standard for professional statisticians. The program is freely available under a GPL license and the student learns how to download and install the program. The first part of the course gives an introduction to R. The student learns how to import and export data, to handle different datatypes, create and use scripts, store data and results, create and save graphical illustrations, and also how data can be manipulated in R with logical operators.

Furthermore, the course provides an overview of the implemented analytical methods, such as methods for hypothesis testing, ANOVA and linear regression. The latter part of the course deals with functions, optimization of code, implementation of C code, and how to create your own R packages.

Application and eligibility

Programming in statistics, 7.5 credits

Visa tillfällen för föregående termin Autumn Term 2022 Det finns inga senare terminer för kursen

Starts

29 August 2022

Ends

31 October 2022

Study location

Varied

Language

English

Type of studies

Daytime, 50%, Distance

Number of mandatory meetings

No mandatory meetings.

Number of other meetings

None

Required Knowledge

Univ: At least 90 credits including at least 60 credits in statistics and/or mathematical statistics, or equivalent. Proficiency in English equivalent to Swedish upper secondary course English B (English/6). Entry requirements

Selection

Academic credits

Application code

UMU-27807

Application

Please note: This application round is intended only for applicants within the EU/EEA and Switzerland. Online application service in Swedish will open 15 March 2022 at 13:00 CET. Application deadline is 19 April 2022. How to apply

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

SEK 900

Tuition fee, first instalment

SEK 13,700

Total fee

SEK 13,700

Starts

29 August 2022

Ends

31 October 2022

Study location

Umeå

Language

English

Type of studies

Daytime, 50%

Required Knowledge

Univ: At least 90 credits including at least 60 credits in statistics and/or mathematical statistics, or equivalent. Proficiency in English equivalent to Swedish upper secondary course English B (English/6). Entry requirements

Selection

Academic credits Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code

UMU-27814

Application

Please note: This application round is intended only for applicants within the EU/EEA and Switzerland. Online application service in Swedish will open 15 March 2022 at 13:00 CET. Application deadline is 19 April 2022. How to apply

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

SEK 900

Tuition fee, first instalment

SEK 13,700

Total fee

SEK 13,700

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.

Contactpersons for the course are:
Study advisor, Department of Statistics, Umeå School of Business, Economics and Statistics