Master's Degree in Data Science and Computer Engineering (M51/56/3)

Master's Degree in Data Science and Computer Engineering
Academic year
Field of knowledge
Ingeniería y Arquitectura
Ministry code
4315140
ECTS credits
60
Code
M51/56/3

Access and admissions: requirements, procedure and deadlines

The Access and Admissions section of this website provides information on the general and specific requirements, as well as the enrolment procedure, for our master's degrees. This information varies depending on whether the programmes in question are:

Enrolment

Distrito Único Andaluz (DUA) Platform for University Admissions in Andalusia

  • First-year students: If you have secured a place through the DUA Platform, you must complete the self-enrolment procedure via the UGR's website.

    The office responsible for the self-enrolment procedure at the UGR is the Service for Official Master’s Degrees (Servicio de Másteres Oficiales). For further information, please visit Master's degrees: Standard enrolments.

Arqus and Erasmus Mundus master’s degrees

The enrolment procedure varies depending on the master's degree in question:

Programme content

Asignaturas comunes a todas las especialidades

Introductory Module

Mandatory credits:  12
Créditos ofertados:  20
Course / Subject
Credits
Teachers
Entrepreneurship and Knowledge Transfer
4
Introduction to Information Science Programming
4
Introduction to Computer Engineering Programming
4

Knowledge Leveling Module

Mandatory credits:  8
Créditos ofertados:  16
Course / Subject
Credits
Teachers
Data Mining: Unsupervised Learning and Fault Detection
4
Data Mining: Pre-Processing and Classification
4
Embedded Systems and Hw/Sw Co-Design
4

Masters Dissertation Module

Mandatory credits:  12
Créditos ofertados:  12
Course / Subject
Credits
Teachers
Master's Dissertation
12

Especialidad: Ingeniería de Computadores y Redes

High Performance Computing Module

Mandatory credits:  0
Créditos ofertados:  20
Course / Subject
Credits
Teachers
Computational Biology with Big Data Omics and Biomedical Engineering
4
High Performance Computing for Classification and Optimisation
4
System Modelling and Time Series Prediction
4
High Performance Signal Processing in Biomedicine
4

Application-Specific Systems Module

Mandatory credits:  0
Créditos ofertados:  24
Course / Subject
Credits
Teachers
High Performance Architecture for Vision
4
Computational Neuroscience and Neuroengineering
4
Mobile Robotics and Neurobiotics
4

Especialidad: Ciencia de Datos y Tecnologías Inteligentes

Advanced Methods in Data Science Module

Mandatory credits:  0
Créditos ofertados:  23

Big Data and Cloud Computing Module

Mandatory credits:  0
Créditos ofertados:  8

Intelligent Technologies and Computer Intelligence Module

Mandatory credits:  0
Créditos ofertados:  10
Course / Subject
Credits
Teachers
Soft Computing Techniques for Learning and Optimisation. Neural Networks and Metaheuristics, Evolutionary and Bio-Inspired Programming
3
Computer Vision
3

Data Science Applications and Intelligent Technologies Module

Mandatory credits:  0
Créditos ofertados:  6