Master's Degree in Artificial Intelligence

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 12
Men 2023 11
Women 2023 1
Credits enrolled Period Value
Total enrolled credits 2023 519
Credits on 1st enrollment 2023 513
Credits on 2nd enrollment 2023 6
Credits on 3rd enrollment and above 2023 0
% credits repeated 2023 1.16
Academic results Period Value
Average credits by student 2023 43.25
Evaluation rate 2023 92.49
Success rate 2023 96.88
Performance rate 2023 89.6
SEGUIMIENTO rates Period Value
Efficiency rate 2023 100

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 35
Men 2024 28
Women 2024 7
Credits enrolled Period Value
Total enrolled credits 2024 1,581
Credits on 1st enrollment 2024 1,536
Credits on 2nd enrollment 2024 45
Credits on 3rd enrollment and above 2024 0
% credits repeated 2024 2.85
Academic results Period Value
Average credits by student 2024 45.17
Evaluation rate 2024 91.41
Success rate 2024 98.63
Performance rate 2024 90.16
SEGUIMIENTO rates Period Value
Efficiency rate 2024 100
Leaving rate 2024 33.33

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 40
Men 2025 33
Women 2025 7
Credits enrolled Period Value
Total enrolled credits 2025 1,815
Credits on 1st enrollment 2025 1,749
Credits on 2nd enrollment 2025 66
Credits on 3rd enrollment and above 2025 0
% credits repeated 2025 3.64
Academic results Period Value
Average credits by student 2025 45.38
SEGUIMIENTO rates Period Value
Graduation rate 2025 50

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

AI Fundamentals
8.0
0.0
0.0
Data Engineering
7.0
0.0
0.0
Reasoning and Planning
9.0
0.0
0.0
Explainable and Trustworthy AI
8.0
0.0
0.0
Natural Language Understanding
8.0
0.0
0.0
Language Modelling
8.0
0.0
0.0
Web Intelligence and Semantic Technologies
2.0
0.0
0.0
Machine Learning I
8.0
1.0
0.0
Deep Learning
9.0
0.0
0.0
Machine Learning II
8.0
0.0
0.0
Evolutionary Computation
8.0
0.0
0.0
Computer Vision I
8.0
0.0
0.0
Computer Vision II
5.0
0.0
0.0
Intelligent Robotics I
8.0
0.0
0.0
AI Project Management
9.0
0.0
0.0
Process Mining
6.0
2.0
2.0

Success Not success Not presented

1

AI Fundamentals
6.0
0.0
0.0
Data Engineering
7.0
0.0
0.0
Reasoning and Planning
5.0
1.0
1.0
Explainable and Trustworthy AI
6.0
1.0
1.0
Multiagent Systems
3.0
1.0
1.0
Knowledge and Reasoning under Uncertainty
1.0
0.0
0.0
Natural Language Understanding
7.0
0.0
0.0
Language Modelling
3.0
1.0
1.0
Web Intelligence and Semantic Technologies
0.0
3.0
2.0
Machine Learning I
5.0
0.0
0.0
Deep Learning
4.0
1.0
0.0
Machine Learning II
1.0
0.0
0.0
Evolutionary Computation
3.0
0.0
0.0
Computer Vision I
6.0
0.0
0.0
Computer Vision II
4.0
1.0
1.0
Intelligent Robotics I
5.0
1.0
0.0
AI Project Management
5.0
1.0
1.0
Process Mining
2.0
0.0
0.0
Real Time Intelligent Systems
1.0
0.0
0.0

2

Computational Aspects of Cognitive Science
1.0
0.0
0.0
Text Mining
3.0
0.0
0.0
AI in Big Data Environments
5.0
0.0
0.0
AI in Health
1.0
0.0
0.0
Intelligent IoT
2.0
0.0
0.0
Intelligent Cibersecurity
3.0
0.0
0.0
Emergent Aspects and Entrepreneurship in AI
3.0
0.0
0.0
Work Placement
5.0
0.0
0.0
Master¿s Dissertation
5.0
0.0
0.0

Success Not success Not presented

1

AI Fundamentals
19.0
1.0
1.0
Data Engineering
16.0
2.0
1.0
Reasoning and Planning
17.0
2.0
2.0
Explainable and Trustworthy AI
17.0
2.0
2.0
Multiagent Systems
4.0
0.0
0.0
Knowledge and Reasoning under Uncertainty
3.0
0.0
0.0
Natural Language Understanding
17.0
2.0
2.0
Language Modelling
9.0
0.0
0.0
Web Intelligence and Semantic Technologies
6.0
0.0
0.0
Machine Learning I
19.0
3.0
2.0
Deep Learning
17.0
2.0
2.0
Machine Learning II
12.0
1.0
1.0
Evolutionary Computation
9.0
0.0
0.0
Computer Vision I
17.0
2.0
2.0
Computer Vision II
8.0
2.0
1.0
Intelligent Robotics I
16.0
3.0
2.0
Intelligent Robotics II
13.0
0.0
0.0
AI Project Management
17.0
2.0
2.0
Process Mining
5.0
1.0
1.0
Real Time Intelligent Systems
9.0
1.0
1.0

2

Computational Aspects of Cognitive Science
4.0
1.0
1.0
Text Mining
7.0
0.0
0.0
AI in Big Data Environments
11.0
0.0
0.0
AI in Health
8.0
1.0
1.0
Intelligent IoT
7.0
1.0
1.0
Intelligent Cibersecurity
8.0
1.0
1.0
Emergent Aspects and Entrepreneurship in AI
4.0
1.0
1.0
Work Placement
6.0
1.0
1.0
Master¿s Dissertation
12.0
3.0
3.0

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 20