Large Language Models (LLMs) in Data Management 7.5 credits

About the course

This course investigates how large language models (LLMs) might contribute to solving long standing problems in data management. Specifically it addresses three related questions:

How can LLMs assist in building chat interfaces over SQL databases?
How can LLMs assist in the conceptual modelling and definition of SQL databases?
How can LLMs assist in data integration where multiple databases are made interoperable?

Since these questions can only be addressed after understanding LLMs and basic data management, the first half of the course is devoted to covering these concepts. This starts with feed forward neural networks, RNNs, LSTMs and Seq2Seq models. Then we cover Transformers, BERT and GPT. After this we quickly review the main concepts in data management including conceptual modelling via entity relationship diagrams (ERDs), basic SQL and typical architectures. After covering basic concepts, the second half of the course turns to the three questions above of how LLMs might address long standing data management problems. This includes direct few shot approaches, approaches based on LangChain and vector databases and finally retrieval-augmented generation (RAG) approaches. Additional approaches may also be covered.

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Summer 2026
- Large Language Models (LLMs) in Data Management
  
  ST26 / Varied / English / Web-based (online)
  
  Application opens 16 February 2026
  
  Save education at universityadmissions.se
  
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  Starts
  8 June 2026
  
  Ends
  16 August 2026
  
  Number of credits
  7.5 credits
  
  Type of studies
  Web-based (online)
  
  Mandatory meetings
  No mandatory meetings
  
  Other meetings
  None
  
  Study pace
  50%
  
  Teaching hours
  Daytime
  
  Study location
  Varied
  
  Language
  English
  
  Application code
  UMU-95702
  
  Outline for distance course
  
  This course is a distance course which requires no local physical presence. Lectures are held over Zoom and course material is delivered via Canvas. Lectures are recorded, so attendance is flexible. Students answer problems and demonstrate their programming solutions in recitation sessions held over Zoom. While attendance in recitations is mandatory, there are multiple opportunities to accommodate student schedules. The course ends with a take home exam that students upload to Canvas. All work is conducted by the student individually. Students must show their work at four separate Zoom-based recitations. There is also a take home final exam which students upload to Canvas for grading.
  
  Eligibility
  
  At least 30 ECTS in Computing Science or Mathematics including completed courses in programming (ideally Python), data structures and algorithms, databases (relational model, database design, and SQL), calculus, and linear algebra.
  
  Selection
  
  Academic credits
  
  Application
  The online application opens 16 February 2026 at 13:00 CET. Application deadline is 16 March 2026.
  
  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 19,038
  
  Total fee: SEK 19,038
  
  Details about tuition, fees and funding

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