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Degree description
The Master’s in Computer Science and Technology is oriented towards training professionals specialised in the field of applied computer engineering, with a focus on advanced and emerging technologies. The curriculum integrates fundamental subjects such as matrix theory, numerical analysis and parallel processing, together with specialisation subjects in advanced computing systems for industry, cloud computing, reliable systems, natural computing, quantum computing, computer graphics, machine learning and deep learning systems.
It also incorporates competences in data visualisation, computational linguistics and optimisation of artificial intelligence software environments. This technological foundation is complemented by cross-cutting training in scientific writing, engineering ethics, academic communication in English and Spanish, and even in Spanish language and culture, which favours the preparation of an international and comprehensive profile.
The programme combines theory and practice through experiments, collaboration with research centres and the development of a master’s thesis. The methodology fosters innovation, applied research capacity and the resolution of complex problems in industrial and technological environments. Teaching is shared between the Universitat Politècnica de València and Beihang University, which reinforces its international and multicultural character.
In this way, the degree prepares its graduates to lead projects in fields such as high-performance computing, critical systems engineering, cybersecurity, artificial intelligence and advanced computing applications in strategic sectors, contributing to the digital transformation of society and industry in a global context.
Degree objectives
In summary, the Master’s in Computer Science and Technology aims to train highly qualified professionals who contribute to the advancement of computer engineering, driving digital transformation across various sectors and responding to the demands of a constantly evolving labour market. This programme seeks to develop in students a deep understanding of the fundamental principles of computing, as well as practical skills that enable them to address current and future technological challenges.
Graduates of this master’s programme will be qualified to design, implement and evaluate complex computing systems, integrating knowledge from diverse areas such as artificial intelligence, quantum computing and parallel processing. Through a curriculum that combines theory and practice, the acquisition of technical and analytical competences is fostered, which are essential for problem-solving in industrial and research environments.
Furthermore, the programme promotes the development of cross-cutting skills, such as effective communication, professional ethics and the ability to work in teams, preparing students to perform in a global and multicultural work environment.
Career opportunities
The Master’s in Computer Science and Technology is designed to train highly qualified professionals who meet the demands of the computer engineering and technology sector. Below are the professional profiles upon graduation, aligned with the competences required by the industry:
These profiles have been defined in collaboration with industry experts, ensuring that the training provided by the Master’s in Computer Science and Technology is relevant and of high quality. The integration of technical competences and cross-cutting skills will enable graduates to adapt to a constantly evolving work environment and contribute to the technological and social development of the industry.
- Advanced Computing Systems Engineer: This profile focuses on the design, implementation and optimisation of computing systems for industry. Graduates will be qualified to tackle complex technical challenges, ensuring the efficiency and reliability of computing systems in industrial environments.
- Cloud Computing Specialist: Graduates will be able to work in the management and optimisation of resources in cloud computing environments. Their training will enable them to implement scalable and secure solutions, adapting to the changing needs of organisations.
- Artificial Intelligence Developer: This profile focuses on the creation and improvement of machine learning algorithms and deep learning systems. Graduates will be prepared to develop innovative applications that integrate artificial intelligence across various sectors, from healthcare to automotive.
- Quantum Computing Researcher: This profile is oriented towards research and development in the field of quantum computing. Graduates will be able to contribute to innovation in quantum algorithms and architectures, exploring new frontiers in information processing.
- Emerging Technologies Consultant: Graduates may also pursue careers in consulting, advising companies on the adoption and implementation of advanced technologies. Their ability to evaluate trends and emerging technologies will enable them to guide organisations through their digital transformation.
Mainly aimed at
Mainly aimed at university graduates in the field of engineering who wish to pursue this master’s programme.
- The Master’s is aimed at graduates in Computer Engineering or equivalent degrees.
- Graduates from other related official degree programmes such as Industrial Engineering or Telecommunications Engineering may also be admitted.
Master’s structure
Credits: 60 ECTS
Compulsory: 30 ects | Electives: 18 ects | External placements: 0 ects | Master’s thesis (TFM): 12 ects
Work placements
Work placements not applicable.
Research and access to doctoral studies
The master’s degree is official, which qualifies graduates for admission to doctoral studies.
Academic exchange / agreements with other universities
This degree will be taught at Beihang Valencia Polytechnic Institute (BVPI), a centre owned by the Universitat Politècnica de València located abroad at Hangzhou International Campus, Zhejiang Province, People’s Republic of China.
Agreements will be established between UPV (Beihang Valencia Polytechnic Institute, BVPI) and Beihang University (BUAA) in order to obtain a double degree.
These agreements will establish the framework for collaboration between UPV (Beihang Valencia Polytechnic Institute, BVPI) and Beihang University, BUAA to set the conditions that students from these institutions must meet in order to obtain the academic degrees of Master’s in Computer Science and Technology and the Master’s in Electronic and Information Engineering in Computer Technology.
Master’s Thesis
The Master’s Thesis represents the final stage of the student’s training. It is a multidisciplinary work related to the subjects studied during the degree programme. In the preamble of the UPV framework regulations, which govern all phases of the process, the TFM is defined as “an autonomous activity of the student with the support of one or more supervisors where the final result must always be an individual work by the student, defended before a panel.” It is, therefore, an original exercise to be carried out individually and presented and defended before a university panel.
The main objective of a master’s thesis is to demonstrate the competences acquired during the master’s training. Given its integrative nature, the theoretical and practical training acquired by the student will conclude with the preparation and defence of this final degree project, which will contribute to completing the development of all the competences established for the degree.
