Applied 3D Geological Mapping and Modelling
Course, Master's level, 1MP029
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025
Autumn 2025,
Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 November 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
120 credits of which 90 credits within science/engineering. 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-18604
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, English
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
- English
- Entry requirements
-
120 credits of which 90 credits within science/engineering. 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
This course introduces state-of-the-art geological mapping and modelling methods that are currently used by for instance the mining and building industry. These methods include data acquisition with UAVs (Unmanned Aerial Vehicles, e.g. drones), digital outcrop construction, construction of 3D geological maps, and data analysis and modelling. The course will give the opportunity to explore the possibilities of these methods by working on example projects where new data will be collected and combined with existing data. The course mainly uses examples from the mining industry.
Reading list
No reading list found.