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Degree in Data Science and Engineering

2025/2026 · 240 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 248
Men 2023 152
Women 2023 96
Credits enrolled Period Value
Total enrolled credits 2023 14,448
Credits on 1st enrollment 2023 12,588
Credits on 2nd enrollment 2023 1,428
Credits on 3rd enrollment and above 2023 432
% credits repeated 2023 12.87
Academic results Period Value
Average credits by student 2023 58.26
Evaluation rate 2023 92.61
Success rate 2023 87.22
Performance rate 2023 80.77
SEGUIMIENTO rates Period Value
Efficiency rate 2023 91.43
Efficiency rate 2023 91.58
Graduation rate 2023 52.24

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 276
Men 2024 172
Women 2024 104
Credits enrolled Period Value
Total enrolled credits 2024 15,894
Credits on 1st enrollment 2024 13,824
Credits on 2nd enrollment 2024 2,070
Credits on 3rd enrollment and above 2024 0
% credits repeated 2024 13.2
Academic results Period Value
Average credits by student 2024 57.59
Evaluation rate 2024 87.81
Success rate 2024 87.27
Performance rate 2024 76.63
SEGUIMIENTO rates Period Value
Efficiency rate 2024 91.74
Efficiency rate 2024 100
Graduation rate 2024 63.79
Leaving rate 2024 6.35

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 293
Men 2025 193
Women 2025 100
Credits enrolled Period Value
Total enrolled credits 2025 16,554
Credits on 1st enrollment 2025 14,118
Credits on 2nd enrollment 2025 1,938
Credits on 3rd enrollment and above 2025 498
% credits repeated 2025 14.72
Academic results Period Value
Average credits by student 2025 56.5
SEGUIMIENTO rates Period Value
Graduation rate 2025 40.43

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

Linear Algebra
65.0
11.0
3.0
Discrete Mathematics
60.0
8.0
2.0
Probability and Basic Statistics
58.0
3.0
0.0
Fundamentals of Programming I
43.0
24.0
5.0
Fundamentals of Computers
54.0
22.0
4.0
Multivariable Calculus
64.0
10.0
6.0
Statistical Inference
59.0
7.0
3.0
Introduction to Databases
55.0
23.0
9.0
Fundamentals of Programming II
64.0
11.0
7.0
Internet: Networks and Data
52.0
19.0
6.0

2

Design and Analysis of Algorithms
46.0
3.0
2.0
Regression Models
50.0
20.0
5.0
Statistical Modeling of High Dimensional Data
46.0
11.0
3.0
Signals and Systems
45.0
9.0
4.0
High Performance Computing Infrastructures
42.0
11.0
0.0
Database Modeling
49.0
8.0
4.0
Data Protection, Privacy and Security
47.0
4.0
2.0
Information Theory
48.0
9.0
6.0
Machine Learning I
42.0
9.0
4.0
Mathematical Optimisation
42.0
16.0
4.0

3

Machine Learning II
32.0
28.0
0.0
Statistical Analysis of Dependent Data
42.0
11.0
2.0
Parallel Processing
48.0
5.0
1.0
Data Engineering Project Management
44.0
1.0
1.0
Analytic Databases
40.0
2.0
1.0
Machine Learning III
44.0
11.0
6.0
Information Retrieval
38.0
14.0
3.0
Image, Video and Audio Processing
41.0
19.0
2.0
Written Language Processing
42.0
12.0
2.0
Integration Technologies
37.0
7.0
3.0

4

Large Scale Machine Learning
17.0
0.0
0.0
Numerical Methods for Data Science
22.0
0.0
0.0
Advanced Parallel Processing
13.0
0.0
0.0
Spatiotemporal Data Representation and Management
26.0
0.0
0.0
Simulation and Resampling Techniques
8.0
0.0
0.0
Business and Entrepreneurship
40.0
0.0
0.0
Work Placement
39.0
0.0
0.0
Audiovisual Data Analysis and Interpretation
17.0
0.0
0.0
Data Mobility
24.0
1.0
1.0
Data Management in Intelligent Scenarios
27.0
2.0
2.0
Omics Data Management and Modeling
17.0
0.0
0.0
Natural Language Processing and Text Mining
12.0
0.0
0.0
Recommender Systems
8.0
1.0
1.0
Final Year Dissertation
23.0
11.0
11.0
Statistical Analysis of Complex Data
28.0
0.0
0.0

Success Not success Not presented

1

Linear Algebra
57.0
15.0
7.0
Discrete Mathematics
55.0
18.0
7.0
Probability and Basic Statistics
55.0
14.0
5.0
Fundamentals of Programming I
60.0
27.0
5.0
Fundamentals of Computers
64.0
20.0
8.0
Multivariable Calculus
58.0
14.0
8.0
Statistical Inference
62.0
9.0
6.0
Introduction to Databases
62.0
22.0
8.0
Fundamentals of Programming II
39.0
35.0
14.0
Internet: Networks and Data
52.0
29.0
8.0

2

Design and Analysis of Algorithms
51.0
12.0
1.0
Regression Models
47.0
27.0
10.0
Statistical Modeling of High Dimensional Data
54.0
8.0
1.0
Signals and Systems
60.0
9.0
5.0
High Performance Computing Infrastructures
55.0
15.0
0.0
Database Modeling
55.0
5.0
3.0
Data Protection, Privacy and Security
54.0
6.0
1.0
Information Theory
56.0
14.0
7.0
Machine Learning I
55.0
8.0
4.0
Mathematical Optimisation
63.0
11.0
4.0

3

Machine Learning II
32.0
29.0
1.0
Statistical Analysis of Dependent Data
44.0
12.0
2.0
Parallel Processing
40.0
4.0
3.0
Data Engineering Project Management
41.0
7.0
3.0
Analytic Databases
42.0
6.0
3.0
Machine Learning III
39.0
13.0
3.0
Information Retrieval
47.0
10.0
3.0
Image, Video and Audio Processing
51.0
8.0
1.0
Written Language Processing
45.0
9.0
2.0
Integration Technologies
47.0
3.0
2.0

4

Large Scale Machine Learning
15.0
0.0
0.0
Numerical Methods for Data Science
24.0
0.0
0.0
Advanced Parallel Processing
25.0
0.0
0.0
Spatiotemporal Data Representation and Management
37.0
0.0
0.0
Simulation and Resampling Techniques
21.0
1.0
1.0
Business and Entrepreneurship
45.0
0.0
0.0
Work Placement
43.0
1.0
1.0
Audiovisual Data Analysis and Interpretation
7.0
0.0
0.0
Data Mobility
13.0
0.0
0.0
Data Management in Intelligent Scenarios
21.0
0.0
0.0
Omics Data Management and Modeling
32.0
0.0
0.0
Natural Language Processing and Text Mining
14.0
1.0
1.0
Recommender Systems
12.0
1.0
0.0
Final Year Dissertation
31.0
20.0
20.0
Statistical Analysis of Complex Data
32.0
0.0
0.0

Success Not success Not presented

1

Linear Algebra
60.0
12.0
7.0
Discrete Mathematics
65.0
12.0
4.0
Probability and Basic Statistics
64.0
7.0
5.0
Fundamentals of Programming I
66.0
19.0
7.0
Fundamentals of Computers
52.0
29.0
11.0
Multivariable Calculus
63.0
8.0
6.0
Statistical Inference
60.0
11.0
7.0
Introduction to Databases
52.0
30.0
12.0
Fundamentals of Programming II
66.0
29.0
11.0
Internet: Networks and Data
74.0
13.0
9.0

2

Design and Analysis of Algorithms
49.0
23.0
6.0
Regression Models
53.0
34.0
16.0
Statistical Modeling of High Dimensional Data
55.0
16.0
1.0
Signals and Systems
57.0
11.0
4.0
High Performance Computing Infrastructures
54.0
18.0
4.0
Database Modeling
62.0
7.0
6.0
Data Protection, Privacy and Security
48.0
20.0
0.0
Information Theory
46.0
20.0
5.0
Machine Learning I
55.0
15.0
7.0
Mathematical Optimisation
59.0
12.0
4.0

3

Machine Learning II
50.0
30.0
9.0
Statistical Analysis of Dependent Data
51.0
10.0
5.0
Parallel Processing
44.0
12.0
7.0
Data Engineering Project Management
54.0
12.0
10.0
Analytic Databases
53.0
5.0
4.0
Machine Learning III
50.0
20.0
17.0
Information Retrieval
43.0
24.0
15.0
Image, Video and Audio Processing
27.0
37.0
15.0
Written Language Processing
40.0
27.0
17.0
Integration Technologies
46.0
17.0
15.0

4

Large Scale Machine Learning
14.0
0.0
0.0
Numerical Methods for Data Science
29.0
2.0
2.0
Advanced Parallel Processing
12.0
1.0
1.0
Spatiotemporal Data Representation and Management
36.0
1.0
1.0
Simulation and Resampling Techniques
15.0
3.0
3.0
Business and Entrepreneurship
42.0
5.0
5.0
Work Placement
46.0
1.0
1.0
Audiovisual Data Analysis and Interpretation
23.0
0.0
0.0
Data Mobility
16.0
0.0
0.0
Data Management in Intelligent Scenarios
12.0
1.0
0.0
Omics Data Management and Modeling
16.0
1.0
1.0
Natural Language Processing and Text Mining
22.0
0.0
0.0
Recommender Systems
19.0
0.0
0.0
Final Year Dissertation
40.0
31.0
31.0
Statistical Analysis of Complex Data
30.0
2.0
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 65