Deep Learning 7.5 credits
About the course
The course is about neural networks and gives an introduction to the field of deep learning. The content includes the components used to construct deep neural networks, e.g., activation functions, loss functions, regularization techniques (e.g., normalization and dropout), optimization methods (specifically variants of stochastic gradient descent), network architectures. Also covered is deep generative models. The students learn to apply their knowledge by implementing and training modern network architectures and deep learning methods on large data sets.
The course is split into two modules:
Theory, 5.5 credits
Laboration, 2.0 credits
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Spring 2026
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Deep Learning
Second admissions round for EU/EEA citizens
VT26 / Umeå / English / On site
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Starts24 March 2026
Ends7 June 2026
Number of credits7.5 credits
Type of studiesOn site
Study pace50%
Teaching hoursDaytime
Study locationUmeå
LanguageEnglish
Application codeUMU-57323
Eligibility At least 90 ECTS including at least 60 ECTS computing science, or at least 120 ECTS within a study programme. At least 7.5 ECTS programming; 7.5 ECTS data structures and algorithms; 7.5 ECTS linear algebra; 7.5 ECTS mathematical analysis (predominantly differential calculus); 7.5 ECTS mathematical statistics and probability theory; 7.5 ECTS machine learning. Proficiency in English equivalent to the level required for basic eligibility for higher studies.SelectionAcademic credits
ApplicationOnline applications are now open. Application deadline is 15 October 2025. Please note: This second application round is intended only for EU/EEA/Swiss citizens.
Application and tuition feesAs 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 19,038
Total fee: SEK 19,038
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How to apply
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