Applied 3D Geological Mapping and Modelling
Course, Master's level, 1MP029
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 4 November 2024–19 January 2025
- 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 2024
- Application code
- UU-18604
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, English 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
- 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
- 21 October 2024–3 November 2024
- 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.