This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Umeå University
Machine Learning in Physics
This course is designed to introduce undergraduate physics students to the fundamental concepts of machine learning, emphasizing both theoretical foundations and practical applications specific to physics. It covers a broad range of essential machine-learning techniques and models, and addresses the statistical chal…
- Higher education
- Information unavailable
- 31 August 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
This course is designed to introduce undergraduate physics students to the fundamental concepts of machine learning, emphasizing both theoretical foundations and practical applications specific to physics. It covers a broad range of essential machine-learning techniques and models, and addresses the statistical challenges associated with optimizing these methods and evaluating the solutions they produce. Through this course, students will gain a deep understanding of how machine learning can be applied to solve real-world physics problems.
Admission scores
Entry requirements
90 credits including quantum mechanics, electrodynamics, thermodynamics, solid state physics, introductory programming methodology and introductory numerical methods. Proficiency in English and Swedish equivalent to the level required for basic eligibility for higher studies. Requirements for Swedish only apply if the course is held in Swedish.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.umu.5fy227.5300l.20262
- Last checked
- 2026-09-23T10:39:35.037285+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.umu.5fy227.5300l.20262
- Offering identity in the source
- e.uoh.umu.5fy227.5300l.20262
- Education-form source code
- HS
- Education code in the source
- 5FY227
- Change time according to the source
- 2025-12-11T08:05:31
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.