Time Series Analysis of Geophysical Data
Course, Master's level, 1GE049
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 4 November 2024–19 January 2025
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
120 credits including (1) 75 credits in physics and mathematics or (2) 60 credits in earth science and 40 credits in physics and mathematics. 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
- 15 April 2024
- Application code
- UU-18130
Admitted or on the waiting list?
- Registration period
- 21 October 2024–3 November 2024
- Information on registration from the department
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 4 November 2024–19 January 2025
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
120 credits including (1) 75 credits in physics and mathematics or (2) 60 credits in earth science and 40 credits in physics and mathematics. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 21 October 2024–3 November 2024
- Information on registration from the department
Autumn 2025 Autumn 2025, Uppsala, 33%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 November 2025–18 January 2026
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
120 credits including (1) 75 credits in physics and mathematics or (2) 60 credits in earth science and 40 credits in physics and mathematics. 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
- 15 April 2025
- Application code
- UU-18104
Admitted or on the waiting list?
- Registration period
- 20 October 2025–2 November 2025
- Information on registration from the department
Autumn 2025 Autumn 2025, Uppsala, 33%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 November 2025–18 January 2026
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
120 credits including (1) 75 credits in physics and mathematics or (2) 60 credits in earth science and 40 credits in physics and mathematics. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 20 October 2025–2 November 2025
- Information on registration from the department
About the course
Many geophysical signals, including seismic, electromagnetic, and gravity data, are in the form of time series. This course introduces the most common techniques used in analysing time series, and it also provides the underlying concepts and mathematical theory. The course emphasises applications, mostly in the form of computer exercises.