Master in Bioinformatics for Health Sciences

2025/2026 · 90 credits

Quality assurance

All UDC centers have a Internal Quality Assurance System (IQAS), verified by the Agency to Calidade do Sistema Universitario de Galicia (ACSUG) and ANECA in FIDES programs and AUDIT, respectively, and in accordance with the standards and Guidelines for Quality Assurance in the EHEA. Within IQAS centers integrate all their degrees and masters. IQAS procedures established who and how to follow up and monitoring of the results and the student's learning process in the titration, establishing coordinating bodies and mechanisms, evaluation and continuous improvement of the studies, which are the academic comittee and the quality assurance commision of center.

Learning outcomes

The IQAS establish how UDC centers measure and analyze the learning outcomes. To do the IQAS uses rates and global indicators for assessing the quality of training provided. Included among the results, in addition to the fees included in the title verification reports (efficiency rates, graduation and dropout), assessment rates, success and performance. We compare the results obtained in the title with the center's results for each indicator.

Academic years results

Quality assurance

To ensure that the title is developed in accordance with the verification report presented the center conducts an annual monitoring report in accordance with the procedures of the center IQAS and results. This report is reviewed by the ACSUG, external evaluation agency.

The outcome of this analysis will emerge corrective actions and improvement proposals that achieve the intended objectives and the improvement of the degree.

Committees

In order to ensure proper standards and quality at UDC, an academic management committee and a quality assurance committee are appointed for each faculty/school. In addition to, each faculty/school will be able to establish a specific academic management committee of the study.

Pedreira Fernández, Óscar
Presidente
Ortega Hortas, Marcos

Vázquez Regueiro, Carlos

Pérez Sánchez, Beatriz

Rodríguez Yáñez, Santiago

González Taboada, María

Dapena Janeiro, Adriana

Díaz González, Macarena
Estudiantado
Otero Coto, Iago
Estudiantado
Ribao Álvarez, María Cristina
Personal técnico, de gestión y de administración y servicios
Bello Neira, María Pilar

Cabrero Canosa, Mariano Javier
Presidente
Dapena Janeiro, Adriana
Vicepresidenta
Novo Buján, Jorge

Rabuñal Dopico, Juan Ramón

Valderruten Vidal, Alberto

Díaz González, Macarena
Estudiantado
Lizancos Vidal, Plácido Francisco
Estudiantado
Rodríguez Facal, María Teresa
Personal técnico, de gestión y de administración y servicios
García Filgueira, Ana María
Personal técnico, de gestión y de administración y servicios
Arregui Álvarez, Iñigo
Vogal Coordinador de Título
Andrade Canosa, Diego
Vogal Coordinador de Título
Nóvoa Manuel, Francisco Javier
Vogal Coordinador de Título
Lorenzo Freire, Silvia María
Vogal Coordinadora de Título
Guijarro Berdiñas, Berta María
Vogal Coordinadora de Título
Rouco Maseda, José
Vogal Coordinador de Título

Study facts

Study data

Students enrollment Period Value
Students count 2023 37
Men 2023 17
Women 2023 20
Credits enrolled Period Value
Total enrolled credits 2023 1,110
Credits on 1st enrollment 2023 942
Credits on 2nd enrollment 2023 144
Credits on 3rd enrollment and above 2023 24
% credits repeated 2023 15.14
Academic results Period Value
Average credits by student 2023 30
Evaluation rate 2023 88.65
Success rate 2023 97.56
Performance rate 2023 86.49
SEGUIMIENTO rates Period Value
Efficiency rate 2023 93.5
Graduation rate 2023 64

Centre data

Student enrollment Period Value
Students count 2023 1,868
Men 2023 1,514
Women 2023 354
Credits enrolled Period Value
Total enrolled credits 2023 95,887
Credits on 1st enrollment 2023 75,825
Credits on 2nd enrollment 2023 13,519
Credits on 3rd enrollment and above 2023 6,543
% credits repeated 2023 20.92
Academics results Period Value
Average credits by student 2023 51.33
Evaluation rate 2023 89.29
Success rate 2023 83.15
Performance rate 2023 74.24

Study data

Students enrollment Period Value
Students count 2024 56
Men 2024 23
Women 2024 33
Credits enrolled Period Value
Total enrolled credits 2024 2,229
Credits on 1st enrollment 2024 2,109
Credits on 2nd enrollment 2024 96
Credits on 3rd enrollment and above 2024 24
% credits repeated 2024 5.38
Academic results Period Value
Average credits by student 2024 39.8
Evaluation rate 2024 89.23
Success rate 2024 99.38
Performance rate 2024 88.68
SEGUIMIENTO rates Period Value
Efficiency rate 2024 97.5
Leaving rate 2024 12.5

Centre data

Student enrollment Period Value
Students count 2024 2,089
Men 2024 1,667
Women 2024 422
Credits enrolled Period Value
Total enrolled credits 2024 110,412
Credits on 1st enrollment 2024 91,783
Credits on 2nd enrollment 2024 18,387
Credits on 3rd enrollment and above 2024 242
% credits repeated 2024 16.87
Academics results Period Value
Average credits by student 2024 52.85
Evaluation rate 2024 88.63
Success rate 2024 83.52
Performance rate 2024 74.2

Study data

Students enrollment Period Value
Students count 2025 51
Men 2025 21
Women 2025 30
Credits enrolled Period Value
Total enrolled credits 2025 2,187
Credits on 1st enrollment 2025 2,115
Credits on 2nd enrollment 2025 54
Credits on 3rd enrollment and above 2025 18
% credits repeated 2025 3.29
Academic results Period Value
Average credits by student 2025 42.88
SEGUIMIENTO rates Period Value
Graduation rate 2025 42.86

Centre data

Student enrollment Period Value
Students count 2025 2,214
Men 2025 1,757
Women 2025 457
Credits enrolled Period Value
Total enrolled credits 2025 118,696
Credits on 1st enrollment 2025 97,308
Credits on 2nd enrollment 2025 15,258
Credits on 3rd enrollment and above 2025 6,130
% credits repeated 2025 18.2
Academics results Period Value
Average credits by student 2025 53.61

Facts by subject

Success Not success Not presented

1

Introduction to Programming
21.0
0.0
0.0
Introduction to Databases
23.0
1.0
0.0
Foundations of Artificial Intelligence
20.0
0.0
0.0
Introduction to Molecular Biology
3.0
0.0
0.0
Genetics and Molecular Evolution
2.0
1.0
0.0
Genomics
3.0
0.0
0.0
Probability, Statistics and Elements of Biomathematics
24.0
1.0
1.0
Fundamentals of Bioinformatics
22.0
0.0
0.0
Advanced Statistical Methods in Bioinformatics
21.0
1.0
1.0
Analysis of Biomedical Images
22.0
3.0
3.0
High Performance Computing in Bioinformatics
23.0
2.0
2.0
Computational Intelligence for Bioinformatics
23.0
0.0
0.0
Data Structures and Algorithmics for Biological Sequences
23.0
1.0
1.0

2

Biomechanical Engineering, Sensoring and Telemedicine
9.0
0.0
0.0
Fundamentals of Neuroscience
4.0
0.0
0.0
Neuroengineering and Innovation in Neuroscience
14.0
0.0
0.0
Health Information Systems
6.0
0.0
0.0
Work Placement
20.0
2.0
2.0
Advanced Medical Visualization
10.0
0.0
0.0
Advanced Processing of Biological Sequences
11.0
1.0
0.0
New Trends and Applications in Bioinformatics and Biomedical Engineering
16.0
0.0
0.0
Biomedical Knowledge Management
9.0
0.0
0.0
Design and Management of Research Projects
2.0
0.0
0.0
Computational Intelligence for High Dimensional Data
24.0
1.0
0.0
Master's Dissertation
22.0
12.0
12.0
Research Projects and Entrepreneurship
25.0
0.0
0.0

Success Not success Not presented

1

Introduction to Programming
5.0
0.0
0.0
Introduction to Databases
5.0
1.0
0.0
Foundations of Artificial Intelligence
6.0
0.0
0.0
Probability, Statistics and Elements of Biomathematics
5.0
1.0
1.0
Fundamentals of Bioinformatics
6.0
1.0
0.0
Advanced Statistical Methods in Bioinformatics
6.0
1.0
1.0
Analysis of Biomedical Images
7.0
2.0
2.0
High Performance Computing in Bioinformatics
6.0
2.0
2.0
Computational Intelligence for Bioinformatics
4.0
2.0
0.0
Data Structures and Algorithmics for Biological Sequences
5.0
2.0
2.0

2

Biomechanical Engineering, Sensoring and Telemedicine
4.0
0.0
0.0
Neuroengineering and Innovation in Neuroscience
12.0
0.0
0.0
Health Information Systems
1.0
1.0
1.0
Work Placement
17.0
1.0
1.0
Advanced Medical Visualization
11.0
0.0
0.0
Advanced Processing of Biological Sequences
17.0
0.0
0.0
New Trends and Applications in Bioinformatics and Biomedical Engineering
7.0
0.0
0.0
Biomedical Knowledge Management
8.0
0.0
0.0
Computational Intelligence for High Dimensional Data
21.0
0.0
0.0
Master's Dissertation
23.0
6.0
6.0
Research Projects and Entrepreneurship
20.0
0.0
0.0

Success Not success Not presented

1

Introduction to Programming
18.0
4.0
4.0
Introduction to Databases
19.0
4.0
4.0
Foundations of Artificial Intelligence
20.0
1.0
1.0
Introduction to Molecular Biology
3.0
0.0
0.0
Genetics and Molecular Evolution
3.0
0.0
0.0
Genomics
3.0
0.0
0.0
Probability, Statistics and Elements of Biomathematics
21.0
4.0
3.0
Fundamentals of Bioinformatics
21.0
3.0
2.0
Advanced Statistical Methods in Bioinformatics
22.0
2.0
2.0
Analysis of Biomedical Images
21.0
3.0
3.0
High Performance Computing in Bioinformatics
20.0
2.0
2.0
Computational Intelligence for Bioinformatics
22.0
4.0
4.0
Data Structures and Algorithmics for Biological Sequences
20.0
4.0
4.0

2

Biomechanical Engineering, Sensoring and Telemedicine
4.0
0.0
0.0
Neuroengineering and Innovation in Neuroscience
6.0
0.0
0.0
Health Information Systems
5.0
2.0
2.0
Work Placement
20.0
0.0
0.0
Advanced Medical Visualization
7.0
0.0
0.0
Advanced Processing of Biological Sequences
19.0
1.0
1.0
New Trends and Applications in Bioinformatics and Biomedical Engineering
21.0
1.0
1.0
Biomedical Knowledge Management
11.0
0.0
0.0
Computational Intelligence for High Dimensional Data
22.0
0.0
0.0
Master's Dissertation
23.0
5.0
5.0
Research Projects and Entrepreneurship
23.0
1.0
1.0

Offer places

Offer available places last year and, for degree studies, you can also check the cut notes of those admitted by PAAU.

academic year 2024/2025
General offer 25