Introduction to Data Science
Course, Master's level, 1MS041
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 September 2024–19 January 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including 80 credits in computer science and mathematics, of which at least 15 credits in computer science including programming, and at least 30 credits in mathematics including probability and statistics, linear algebra and analysis. 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 24,167
- Total tuition fee: SEK 24,167
- Application deadline
- 15 April 2024
- Application code
- UU-10516
Admitted or on the waiting list?
- Registration period
- 19 August 2024–15 September 2024
- Information on registration from the department
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 September 2024–19 January 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including 80 credits in computer science and mathematics, of which at least 15 credits in computer science including programming, and at least 30 credits in mathematics including probability and statistics, linear algebra and analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 19 August 2024–15 September 2024
- Information on registration from the department
About the course
This course introduces the mathematical, statistical and computational aspects of data science.
Contact
- Study counselling
- studievagledare@math.uu.se
- +46 18 471 32 03, +46 18 471 32 00