Statistics B

30 credits

Course package, Bachelor's level

Expand the information below to show details on how to apply and entry requirements.

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.
  • First tuition fee instalment: SEK 45,000
  • Total tuition fee: SEK 45,000

Read more about fees.

Application deadline
15 April 2024
Application code
UU-26651

Admitted or on the waiting list?

Registration period
25 July 2024–25 August 2024
Information on registration from the department

Expand the information below to show details on how to apply and entry requirements.

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.
  • First tuition fee instalment: SEK 45,000
  • Total tuition fee: SEK 45,000

Read more about fees.

Application deadline
15 October 2024
Application code
UU-76651

Admitted or on the waiting list?

Registration period
19 December 2024–19 January 2025
Information on registration from the department

Expand the information below to show details on how to apply and entry requirements.

Location
Uppsala
Pace of study
100%
Teaching form
On-campus
Instructional time
Daytime
Study period
1 September 2025–18 January 2026
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.
  • First tuition fee instalment: SEK 45,000
  • Total tuition fee: SEK 45,000

Read more about fees.

Application deadline
15 April 2025
Application code
UU-26651

Admitted or on the waiting list?

Registration period
22 July 2025–31 August 2025
Information on registration from the department

Expand the information below to show details on how to apply and entry requirements.

Location
Uppsala
Pace of study
100%
Teaching form
On-campus
Instructional time
Daytime
Study period
19 January 2026–7 June 2026
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.
  • First tuition fee instalment: SEK 45,000
  • Total tuition fee: SEK 45,000

Read more about fees.

Application deadline
15 October 2025
Application code
UU-76651

Admitted or on the waiting list?

Information on registration from the department

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.

Courses included

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