Specialisation in Multi-Criteria Decision Analysis for Wind Power Development
Course, Master's level, 1GV183
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025 Autumn 2025, Visby, 100%, On-campus, English
The course is cancelled.
- Location
- Visby
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 November 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. The main field of study must be within engineering, science or social science. 60 credits of Master's level courses in wind power project management. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits (maximum 285 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 36,250
- Total tuition fee: SEK 36,250
- Application code
- UU-18207
Autumn 2025 Autumn 2025, Visby, 100%, On-campus, English For exchange students
The course is cancelled.
- Location
- Visby
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 November 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. The main field of study must be within engineering, science or social science. 60 credits of Master's level courses in wind power project management. Proficiency in English equivalent to the Swedish upper secondary course English 6.
About the course
The optimisation of wind farms based on technical, economic, environmental and social aspects will be studied. These aspects of a wind farm project will also include consideration of infrastructures such as the grid and roads. Multi-criteria decision analysis (MCDA) methods will be introduced as an appropriate operational tool in the decision-aiding process for wind power development and will be applied to relevant portions. A proposal for the best solution regarding the optimum level of exploitation of wind power in a given area will be formulated.
Contact
- Study administration at Campus Gotland
- studieadministration-cg@uu.se