Admission and graduation profile
Admission profile
The admission profile is the knowledge, skills and abilities of the students who access the degree.
Although it is not essential to have a specific qualification to study the master's degree, there are some skills that are considered especially appropriate for these studies, such as those acquired, specifically, in the degrees of Engineering, Technical Engineering, Architecture, Technical Architecture, or Graduates in degrees related to Engineering or Computer Science. Also, depending on the specialization studied, among others, graduates in Mathematical Sciences, Physics or similar may fit the recommended profile.
Foreign graduates who prove a level of training equivalent to the corresponding official Spanish university degrees and who
They enable access to postgraduate studies in the country that issued the degree.
Finally, it should be noted that the master's degree, in addition to being aimed at those who wish to obtain the qualification itself, may also be of interest to people who only wish to take some of its subjects as a complement to other related master's degrees or their professional training, or who are looking to acquire the necessary tools to carry out a Doctoral Thesis.
Graduation profile
The graduation profile is the capabilities, knowledge and skills that the student must have acquired upon completion of the degree.
Graduates of the Master's Degree in Industrial Computing and Robotics will be professionals trained to analyse, design and implement digital solutions in industrial production environments. They will be able to understand how the industry works and design digital systems to improve production. These professionals will become key elements to efficiently help in the digital transformation of our industrial fabric. They will have a high level of specialisation to ensure that the process of progress towards Industry 4.0 takes place efficiently and with guarantees of success.
More specifically, professionals who complete the Master's Degree in Computer Engineering and Robotics will have a solid background in technologies related to Industry 4.0:
- Robotics.
- Industrial automation.
- Big Data & Analytics.
- Additive manufacturing.
- Programming of industrial devices.
- Cloud computing.
- Application of artificial intelligence techniques to industry.
- Industrial IoT.
- Computing in industry.
- Augmented reality.
Some examples of the activities that graduates will be able to carry out are:
- Design, develop and implement digital systems for industrial automation.
- Analyze data in the industry to extract valuable information and propose improvement solutions at all levels of the company (field level, production planning and management).
- Development of programming solutions in industrial environments (both at operational and management levels).
- Development of solutions for the management of digital information in the industry.
- Programming artificial intelligence systems in different industrial systems.
- Development of additive manufacturing solutions (3D printing).
- Implementation of cloud computing systems and industrial IoT.
- Programming of mobile robots and manipulators.
- Deploy and configure industrial communications networks.
Deploy and configure industrial communications networks. Graduates, if they wish to continue their training in research work, will be able to access doctoral studies. In particular, the Master in Industrial Computing and Robotics is aligned with the doctoral program in Industrial Engineering, Computer Science and the Environment at ULL.
