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Introduction to Database Management

  • Number of credits 7.5 credits
  • Level Bachelor's level
  • Starting Spring Term 2026

About the course

This course covers the concepts and tools necessary to use database systems. This starts with introducing the relational and semi-structured models of data and then delving into the classic relational query languages (tuple calculus and relational algebra), normalization theory and entity-relationship modeling. This is followed by an in-depth coverage of SQL including its use in a server environment. The last part of the course covers semi-structured data models using XML and accessed via XPath/XQuery.

Application and eligibility

Introduction to Database Management, 7.5 credits

Visa tillfällen för föregående termin Spring Term 2026 Det finns inga senare terminer för kursen

Starts

19 January 2026

Ends

23 March 2026

Study location

Umeå

Language

English

Type of studies

Daytime, 50%

Required Knowledge

At least 90 ECTS, including 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; either (a) 22.5 ECTS mathematics or (b) 7.5 ECTS discrete mathematics and 7.5 ECTS logics. Proficiency in English equivalent to the level required for basic eligibility for higher studies.

Entry requirements

Selection

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

UMU-57302

Application

The online application opens 15 September 2025 at 09:00 CET. Application deadline is 15 October 2025. 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 19,038

Total fee

SEK 19,038

Contact us

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Course is given by
Department of Computing Science