Specialisation in Multi-Criteria Decision Analysis for Wind Power Development

15 credits

Course, Master's level, 1GV183

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

Location
Visby
Pace of study
100%
Teaching form
On-campus
Instructional time
Daytime
Study period
2 November 2026–17 January 2027
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 41,250
  • Total tuition fee: SEK 41,250

Read more about fees.

Application deadline
15 April 2026
Application code
UU-18207

Admitted or on the waiting list?

Registration period
5 October 2026–26 October 2026
Information on registration from the department

Location
Visby
Pace of study
100%
Teaching form
On-campus
Instructional time
Daytime
Study period
2 November 2026–17 January 2027
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.

Admitted or on the waiting list?

Registration period
5 October 2026–26 October 2026
Information on registration from the department

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.