General information
Academic year: 2023/2024
Type: Máster
ECTS Credits: 60
Orientación del programa de Máster Investigador
Length of programme (full time): 1 YEAR
Mode of delivery: A tiempo completo
Level of qualification: Máster (MECES nivel 3 – EQF nivel 7)
Model of study: Presencial
Mobility windows:
Optional
Academic Information for mobility students
Aprendizaje basado en prácticas profesionales (Prácticum): Sí
Language(s) of instruction Spanish
Programme coordinator
Name: ALBERTO LUIS, FERNÁNDEZ HILARIO / alfh@ugrLYIQxqQwy.es
School of Computer and Telecommunication Engineering / Granada campus
Field(s) of education and training (ISCED-F)
- Software and applications development and analysis (0613)
Main focus
; Graduates of this master’s programme will be able to model and solve problems in both the academic and real world, for which a large volume of data is available, regardless of the sphere of knowledge involved. More specifically, graduates will have a solid understanding of advanced techniques of Data Science and Computational Intelligence, which they will use to address these problems. They will also be capable of designing, configuring, implementing, and using computational platforms and networks that provide the necessary characteristics (cost, computational capacity, velocity, storage, reliability, availability, and security) for big data processing. Finally, graduates will have an in-depth knowledge of these techniques in fields such as biomedicine and bioinformatics, optimisation and prediction, advanced control, and bio-inspired robotics.
Competences
Students that have completed the second cycle have the following competencies: – Have demonstrated knowledge and understanding that is founded upon a basis or opportunity for originality in developing and/or applying ideas, often within a research context. – Can apply their acquired knowledge and understanding, and problem solving abilities in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their field of study. – Have the ability to integrate knowledge and handle complexity, and formulate judgments with incomplete or limited information, but that include reflecting on social and ethical responsibilities linked to the application of their knowledge and judgments. – Can communicate their conclusions, and the knowledge and rationale underpinning these, to specialist and non-specialist audiences clearly and unambiguously. – Have the learning skills to allow them to continue to study in a manner that may be largely self-directed or autonomous.
Programme qualification
Name of title awarded in original language
Máster Universitario en Ciencia de Datos e Ingeniería de Computadores
Qualification requirements
60 minimum credits
Specialisations
Specialisation name
– Computer and Network Engineering – Data Science and Intelligent Technologies
Admission information
Specific admission requirements
Access to this Master’s degree programme is granted to holders of a Spanish official university degree of Licenciado or Graduado (Bachelor’s degree), Ingeniero Superior and Ingeniero Técnico (Bachelor’s degree), or equivalent degrees from other education systems, in the fields of Computer Engineering, Telecommunications, Electronics, Physics, Mathematics, and Statistics. Access is also granted to graduates from other Engineering degree programmes who can demonstrate prior knowledge in computer science, communications and/or mathematics.
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