Master's Degree in Economics of Tourism: Monitoring and Evaluation
Academic year 2023-24
You can also consult this information for the academic year 2022-23.
The adaptation process to modify this curriculum to the new version for the 2024-25 academic year has begun.
If you started the master’s programme on this curriculum version, you may either continue with it or request adaptation to the new version via the direct admission procedure. Please see the information on the adaptation due to curriculum modification procedure.
If you started the master’s programme on this curriculum version, you may either continue with it or request adaptation to the new version via the direct admission procedure. Please see the information on the adaptation due to curriculum modification procedure.
To be awarded the degree, 60 ECTS credits must be passed as follows:
21 ECTS from mandatory subjects.
30 ECTS from elective subjects as follows:
If you wish to take a specialisation, 15 elective ECTS credits must be taken in the chosen speciality, plus 15 ECTS credits from common electives that do not belong to any specialisation.
If you do not wish to take any specialisation, the 30 ECTS credits may be freely selected from all electives on the master's programme.
9 ECTS from the Master's Thesis.
Evaluation Techniques Applied to Tourism
- Mallorca
Name | Credits | Period |
---|---|---|
11495 - Analysis of Economic Impacts | 3,0 | 1st semester |
11496 - Evaluation of non-economic Impacts | 3,0 | 1st semester |
11498 - Extensions of Economic Evaluation | 3,0 | 1st semester |
11497 - Integrated Evaluation of Economic Impacts | 3,0 | 2nd semester |
11499 - Econometrics of Programme Evaluation | 3,0 | 2nd semester |
Monitoring Techniques Applied to Tourism
- Mallorca
Name | Credits | Period |
---|---|---|
11492 - Generating and Gathering Quantitative Information for Tourism | 3,0 | 1st semester |
11493 - Analysis and Interpretation of Results | 3,0 | 1st semester |
11510 - Data Reduction Techniques | 3,0 | 1st semester |
11462 - Qualitative Analysis Techniques | 3,0 | 2nd semester |
11494 - Causal Analysis and Prediction | 3,0 | 2nd semester |