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Degree description
The Master’s Degree in Intelligent Manufacturing offers advanced training in the foundations, methodologies and technologies that underpin the digital transformation of industry. The curriculum combines core subjects in applied mathematics, statistics, numerical analysis and finite element methods, with specific subjects in intelligent manufacturing, distributed control, advanced robotics, computer vision, industrial networks, experimental measurement techniques and virtual and augmented reality systems. The programme also integrates training in key areas of sustainability and management, such as life cycle analysis and environmental impact control, as well as complementary subjects in engineering ethics, scientific writing and languages (English and Spanish), providing a comprehensive profile oriented towards a global environment.
The degree combines theory and practice through laboratory experiments, work placements, innovation projects and a master’s thesis that synthesises the knowledge acquired. Teaching is delivered jointly by the Universitat Politècnica de València and Beihang University, reinforcing its international and multidisciplinary character. The programme fosters innovation, creativity and the ability to apply technological solutions in strategic sectors such as automotive, aeronautics, energy and advanced logistics. In doing so, it prepares professionals capable of leading the transition towards Industry 4.0, integrating intelligent technologies with sustainability, efficiency and competitiveness criteria in a global market.
Degree objectives
The Master’s in Intelligent Manufacturing aims to offer a comprehensive and multidisciplinary education in the field of intelligent manufacturing, preparing students to face the challenges of digital transformation in industry. This programme is designed to provide participants with a solid foundation in the principles and methodologies that underpin automation and technological innovation in industrial environments.
Graduates of the Master’s will acquire advanced competencies in key areas such as robotics, distributed control, computer vision and industrial networks. Through a practical approach that includes laboratories, innovation projects and work placements, students will develop technical and management skills that will enable them to implement effective solutions in Industry 4.0.
The programme fosters critical thinking and creativity, encouraging students to explore new technologies and sustainable approaches in manufacturing. Furthermore, it promotes training in cross-cutting competencies such as professional ethics, effective communication and teamwork, which are essential for professional development in a global context.
The Master’s in Intelligent Manufacturing aims to train highly skilled professionals who can lead the integration of intelligent technologies across various sectors, contributing to the efficiency, sustainability and competitiveness of organisations. This training responds to the growing demand for experts in advanced manufacturing, thus ensuring the employability of its graduates in an ever-evolving market.
Career opportunities
The Master’s in Intelligent Manufacturing is designed to train highly qualified professionals who meet the demands of the industrial sector in the context of digital transformation. The following are the identified graduate profiles, aligned with the competencies required by industry:
These profiles have been defined based on current and future trends in the sector, ensuring that the training provided by the Master’s in Intelligent Manufacturing is relevant and of high quality. The combination of technical competencies and cross-cutting skills will enable graduates to adapt to an ever-evolving work environment and contribute to economic and social development through innovation in manufacturing.
- Intelligent Manufacturing Engineer: This profile specialises in the implementation of advanced technologies in manufacturing processes. Graduates will be able to optimise production through the integration of automated systems, robotics and data analysis, improving efficiency and reducing costs.
- Robotics and Automation Specialist: Graduates in this profile will be able to design, programme and maintain robotic systems in industrial environments. Their training will enable them to tackle challenges in process automation, ensuring safety and effectiveness in the operation of advanced machinery.
- Manufacturing Data Analyst: Graduates will be prepared to apply statistical analysis and predictive modelling techniques, contributing to informed decision-making and the continuous improvement of processes.
- Industrial Sustainability Consultant: With a focus on sustainability, this profile trains graduates to assess and manage the environmental impact of manufacturing processes. They will be able to implement sustainable practices and develop strategies that align production with corporate sustainability objectives.
- Researcher in Advanced Manufacturing Technologies: Graduates may also pursue careers in research and development, contributing to innovation in the field of intelligent manufacturing. This profile focuses on the exploration of new methodologies and technologies that drive the evolution of industry.
Mainly aimed at
The Master’s is aimed at graduates in Mechanical Engineering. Graduates from other official degree programmes may also be admitted, such as:
- Degree in Industrial Technology Engineering
- Degree in Aerospace Engineering
- Degree in Mechanical Engineering
- Degree in Industrial Computing and Robotics
- Degree in Industrial Electronic and Automatic Engineering
- Degree in Data Science
- Degree in Computer Engineering
Master’s structure
Credits: 60 ECTS
Compulsory: 29.5 ects | Electives: 18.5 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, therefore it qualifies for access to doctoral studies.
Academic exchange / agreements with other universities
This degree will be taught at Beihang Valencia Polytechnic Institute (BVPI), a centre belonging to 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.
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 in the degree programme. In the preamble to 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 competencies 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 work, which will contribute to completing the development of all the competencies established for the degree.
