Introduction to Data Science
Course, Master's level, 1MS041
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–14 January 2024
- 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.
- Application fee: SEK 900
- First tuition fee instalment: SEK 24,167
- Total tuition fee: SEK 24,167
- Application deadline
- 17 April 2023
- Application code
- UU-10516
Admitted or on the waiting list?
- Registration period
- 14 August 2023–10 September 2023
- Information on registration.
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–14 January 2024
- 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
- 14 August 2023–10 September 2023
- Information on registration.
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