Time Series Analysis

7.5 credits

Course, Bachelor's level, 2ST093

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
24 March 2026–30 April 2026
Language of instruction
Swedish
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 11,250
  • Total tuition fee: SEK 11,250

Read more about fees.

Application deadline
15 October 2025
Application code
UU-76606

Admitted or on the waiting list?

Registration period
18 December 2025–18 January 2026
Information on registration from the department

Location
Uppsala
Pace of study
100%
Teaching form
On-campus
Instructional time
Daytime
Study period
24 March 2026–30 April 2026
Language of instruction
Swedish
Entry requirements

At least 15 credits from Statistics A, 30 credits

Admitted or on the waiting list?

Registration period
18 December 2025–18 January 2026
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
4 November 2026–6 December 2026
Language of instruction
English
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 12,375
  • Total tuition fee: SEK 12,375

Read more about fees.

Application deadline
15 April 2026
Application code
UU-26606

Admitted or on the waiting list?

Registration period
23 July 2026–23 August 2026
Information on registration from the department

Location
Uppsala
Pace of study
100%
Teaching form
On-campus
Instructional time
Daytime
Study period
4 November 2026–6 December 2026
Language of instruction
English
Entry requirements

At least 15 credits from Statistics A, 30 credits

Admitted or on the waiting list?

Registration period
23 July 2026–23 August 2026
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
25 March 2027–2 May 2027
Language of instruction
English
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 12,375
  • Total tuition fee: SEK 12,375

Read more about fees.

Application deadline
15 October 2026
Application code
UU-76606

Admitted or on the waiting list?

Registration period
25 February 2027–18 March 2027
Information on registration from the department

Location
Uppsala
Pace of study
100%
Teaching form
On-campus
Instructional time
Daytime
Study period
25 March 2027–2 May 2027
Language of instruction
English
Entry requirements

At least 15 credits from Statistics A, 30 credits

Admitted or on the waiting list?

Registration period
25 February 2027–18 March 2027
Information on registration from the department

About the course

The course is about linear time series models focusing on stochastic processes in discrete time. The course covers the Box-Jenkins approach to ARIMA models, that is Identification, Estimation, Evaluation and Forecasting. Fundamental concepts such as stationarity, random walks, seasonality, and Granger Causality will be covered.

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