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Machine Learning with R, part 1

  • Number of credits 7.5 credits
  • Level Bachelor's level
  • Starting Autumn Term 2023

About the course

This course is the perfect opportunity for you to gain practical skills in the rapidly growing field of machine learning. With 7.5 credits, this course covers the fundamental concepts and techniques of machine learning using the R programming language. By the end of the course, you will have a foundation in machine learning and be able to apply these skills to real-world problems. If you are interested in data-driven methods for predicting or decision-making, then this course is for you.

Machine learning with R, part 1, is running at 50% study pace and is given in English.

Application and eligibility

Machine Learning with R, part 1, 7.5 credits

Det finns inga tidigare terminer för kursen Autumn Term 2023 Det finns inga senare terminer för kursen


31 October 2023


14 January 2024

Study location




Type of studies

Daytime, 50%

Required Knowledge

7,5 ECTS in Statistics incl. Regression Analysis. Proficiency in English equivalent to Swedish upper secondary course English B/6

Entry requirements


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



Online applications are now open. You will be transferred to Universityadmissions.se. Application deadline is 17 April 2023. 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