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A Mathematical Introduction till Machine Learning

  • Number of credits 7.5 credits
  • Level Bachelor's level
  • Starting Autumn Term 2022

Application and eligibility

A Mathematical Introduction till Machine Learning, 7.5 credits

Det finns inga tidigare terminer för kursen Autumn Term 2022 Det finns inga senare terminer för kursen

Starts

1 November 2022

Ends

15 January 2023

Study location

Umeå

Language

English (upon request)

Type of studies

Daytime, 50%

Required Knowledge

The course requires courses in Mathematics, minimum 60 ECTS or at least two years of university studies and both cases require courses in linear algebra, multivariate calculus, mathematical statistics and computer programming, or equivalent. Proficiency in English and Swedish equivalent to the level required for basic eligibility for higher studies.

Selection

Guaranteed place 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-58032

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 17,850

Total fee

SEK 17,850

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.

Contactperson for the course is:
Study counselor Lars-Daniel Öhman