Statistics B
Course package, Bachelor's level
Autumn 2023 Autumn 2023, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–14 January 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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 45,000
- Total tuition fee: SEK 45,000
- Application deadline
- 17 April 2023
- Application code
- UU-26651
Admitted or on the waiting list?
- Registration period
- 27 July 2023–27 August 2023
- Information on registration
Spring 2024 Spring 2024, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 15 January 2024–2 June 2024
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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 45,000
- Total tuition fee: SEK 45,000
- Application deadline
- 16 October 2023
- Application code
- UU-76651
Admitted or on the waiting list?
- Registration period
- 21 December 2023–14 January 2024
- Information on registration
Autumn 2024 Autumn 2024, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 September 2024–19 January 2025
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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 45,000
- Total tuition fee: SEK 45,000
- Application deadline
- 15 April 2024
- Application code
- UU-26651
Admitted or on the waiting list?
Spring 2025 Spring 2025, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 20 January 2025–8 June 2025
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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 45,000
- Total tuition fee: SEK 45,000
- Application deadline
- 15 October 2024
- Application code
- UU-76651
Admitted or on the waiting list?
About the course package
Probability Theory and Statistical Inference 1: The course is an intermediate course in probability and statistical inference. The course content is probability theory, probability distributions, estimation and hypothesis testing. The course is intended to provide a good statistical basis for further studies in statistics, econometrics, time series analysis, etc.
Econometrics: The course deals with basic econometrics. It focuses mainly on the theory and applications of simple and multiple linear regression analysis. The emphasis is on the estimation, inference and interpretation of the multiple linear regression model. The course also goes through assumptions for OLS, why they are needed, and how to detect and handle situations when assumptions are not met.
Time Series Analysis: The course deals with different models for time series and forecasting techniques. The course includes the estimation and interpretation of time series models. Among other things, ARIMA and VAR models as well as Box-Jenkin's methodology are treated.
Applied Statistical Methods: The course deals with different statistical methods that are applied to data from different thematic areas. The overall purpose of the course is to give you good skills in conducting, and presenting results from, statistical surveys. The course emphasizes oral communication.