Field Methods in Earth Science

5 credits

Course, Master's level, 1GE043

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

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
23 March 2026–7 June 2026
Language of instruction
English
Entry requirements

120 credits with 90 credits in earth science or in technology or physics. Applied Geoinformatics for Earth Sciences, 5 credits, or at least 3 credits from Hydrological Processes. 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

Read more about fees.

Application deadline
15 October 2025
Application code
UU-68106

Admitted or on the waiting list?

Registration period
9 March 2026–22 March 2026
Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
23 March 2026–7 June 2026
Language of instruction
English
Entry requirements

120 credits with 90 credits in earth science or in technology or physics. Applied Geoinformatics for Earth Sciences, 5 credits, or at least 3 credits from Hydrological Processes. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Admitted or on the waiting list?

Registration period
9 March 2026–22 March 2026
Information on registration from the department

About the course

This course will give you both theoretical and practical knowledge of how to plan, carry out and interpret the results of geographical and/or hydrological studies. The course provides an increased understanding of the possibilities and limitations of the different methods. Much of the course is devoted to field measurements, evaluation and data processing.

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