Project in Data Science
Course, Master's level, 1DL507
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 50%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 August 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
150 credits including 30 credits in data science at Master's level, and including 75 credits in mathematics and computer science of which at least 15 credits in computer science. 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 2026
- Application code
- UU-11000
Admitted or on the waiting list?
- Registration period
- 27 July 2026–6 September 2026
- Information on registration from the department
Autumn 2026 Autumn 2026, Uppsala, 50%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 August 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
150 credits including 30 credits in data science at Master's level, and including 75 credits in mathematics and computer science of which at least 15 credits in computer science. 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
- 27 July 2026–6 September 2026
- 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.