Secure Computer Systems I
Course, Master's level, 1DT072
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025 Autumn 2025, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 November 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
120 credits including 15 credits in mathematics and 30 credits in computer science or technology. Distributed Information Systems or participation in courses with operating systems and computer networks. 10 credits in programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 April 2025
- Application code
- UU-11209
Admitted or on the waiting list?
- Registration period
- 20 October 2025–9 November 2025
- Information on registration from the department
Autumn 2025 Autumn 2025, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 November 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
120 credits including 15 credits in mathematics and 30 credits in computer science or technology. Distributed Information Systems or participation in courses with operating systems and computer networks. 10 credits in programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 20 October 2025–9 November 2025
- Information on registration from the department
About the course
The course is about technical aspects of data security. Basic principles and theoretical models for security, such as identification, authenticity, access control, and information flow control are covered. A goal with the course is to develop an ability to identify weaknesses and strengths in different approaches to handling data security.