The Master in Statistical Techniques and the Ph.D. in S.O.R are part of the Quality assessment of the associated Universities. Here are the corresponding links:
Faculty of Mathematics (USC)| Faculty of Computer Science (UDC)| Faculty of Economics and Business (UVigo)
Follow-up reports
- Self-report of the degree (course 2019/2020) and improvement plan (course 2020/2021)
- Self-report of the degree (course 2020/2021) and improvement plan (course 2021/2022)
- Self-report of the degree (course 2021/2022) and improvement plan (course 2022/2023)
- Self-report of the degree (course 2022/2023) and improvement plan (course 2023/2024)
Quality indicators
The following drop-down menu shows the main indicators of the master in recent years.
| Course 2025/2026 | |
| Total number of registered students | 86 |
| Total number of registered students in USC | 51 |
| Total number of registered students in UDC | 12 |
| Total number of registered persons in UVigo | 23 |
| Incoming students | 47 |
| Incoming students in USC | 25 |
| Incoming students in UDC | 7 |
| Incoming students in UVigo | 15 |
| Rate of Return of Title | Dato no disponible |
| Success rate title | Dato no disponible |
| Dropout rate of title | More data are needed to perform this calculation |
| Efficiency rate of graduates in title | More data are needed to perform this calculation |
| Graduation rate of title | More data are needed to perform this calculation |
| Average duration of studies | More data are needed to perform this calculation |
| Students with Scholarships AECID, Fundación Carolina, ... | 0 |
| Students Enrolled in loose materials or other master | 0 |
| Students registered Further Education / Doctoral Access | 0 |
| Students from other masters | 0 |
In the following link you can consult the definitions used for the calculation of these rates. Although the definitions refer to USC students, data from the three Galician universities have been used to calculate the rates for students of the Interuniversity Master's Degree in Statistical Techniques.