Project in Data Science
Course, Master's level, 1DL508
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025 Autumn 2025, 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
- 1 September 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
120 credits and, in addition, 30 credits in data science at Master's level. Data, Ethics and Law (may be read in parallel). Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 April 2025
- Application code
- UU-11002
Admitted or on the waiting list?
- Registration period
- 25 July 2025–7 September 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
- 1 September 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
120 credits and, in addition, 30 credits in data science at Master's level. Data, Ethics and Law (may be read in parallel). Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 25 July 2025–7 September 2025
- Information on registration from the department
About the course
Specialisation in a technological application area. Project work in groups with a focus on working on a practical data science project. The course has two possible orientations; data science students meet students from other programs who contribute with problems, subject competence and data or data sources. Alternatively, the project is carried out in a research group under the leadership of a researcher at Uppsala University. The course also teaches soft skills: ethics, group work, introduction to project and time management and presentation techniques.
Reading list
No reading list found.