Technological Developments for Economic Valuation and Sustainability of Mineral Resources
Course, Master's level, 1MP034
Expand the information below to show details on how to apply and entry requirements.
Spring 2026
Spring 2026,
Uppsala, 100%, On-campus, English
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 9 February 2026–1 March 2026
- Language of instruction
- English
- Entry requirements
-
120 credits with 90 credits in science/engineering (physics, chemistry, biology, mathematics, earth science, computer science, material science), including 15 credits in mathematics or physics. 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 October 2025
- Application code
- UU-68609
Admitted or on the waiting list?
- Registration period
- 26 January 2026–8 February 2026
- Information on registration from the department
Spring 2026
Spring 2026,
Uppsala, 100%, On-campus, English
For exchange students
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 9 February 2026–1 March 2026
- Language of instruction
- English
- Entry requirements
-
120 credits with 90 credits in science/engineering (physics, chemistry, biology, mathematics, earth science, computer science, material science), including 15 credits in mathematics or physics. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 26 January 2026–8 February 2026
- Information on registration from the department
About the course
The course focuses on the use geoscientific data and AI for data visualisation and analysis in order to evaluate mineral resources. Contextualising mining of minerals in relation to local and global environmental, societal and sustainability perspectives.
Reading list
No reading list found.