Analysis of Categorical Data
Course, Master's level, 1MS370
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 October 2023–14 January 2024
- Language of instruction
- English
- Entry requirements
-
120 credits including 90 credits in mathematics. Regression Analysis participation. 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
- 17 April 2023
- Application code
- UU-10509
Admitted or on the waiting list?
- Registration period
- 17 October 2023–13 November 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
- 31 October 2023–14 January 2024
- Language of instruction
- English
- Entry requirements
-
120 credits including 90 credits in mathematics. Regression Analysis participation. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 17 October 2023–13 November 2023
- Information on registration
About the course
This course contains sampling strategies for categorical data, two-way and three-way contingency tables, and logit and log-linear models. You will also learn how to use R for analysing real data sets and interpreting results in practical examples.
Contact
- Study counselling
- studievagledare@math.uu.se
- +46 18 471 32 03, +46 18 471 32 00