Database Design II
Course, Master's level, 1DL400
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
120 credits of which 15 credits in mathematics and 30 credits in computer science or information systems, including a second course in computer programming. Participation in Database Design I or some other first course in databases. Participation in Algorithms and Data Structures I. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 April 2026
- Application code
- UU-11029
Admitted or on the waiting list?
- Registration period
- 19 October 2026–8 November 2026
- Information on registration from the department
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
120 credits of which 15 credits in mathematics and 30 credits in computer science or information systems, including a second course in computer programming. Participation in Database Design I or some other first course in databases. Participation in Algorithms and Data Structures I. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 19 October 2026–8 November 2026
- Information on registration from the department
About the course
This course focuses on the implementation of database systems. One part covers security and optimisation: security and access control, data integrity, indexing and query optimisation. Another part covers object-oriented databases for storing non-tabular data such as images, sound, and product models, as well as computations on such data.