Master's Degree in Industrial Computing and Robotics

2020/2021 · 60 credits

What you learn

  • Robotics.
  • Industrial automation.
  • Big Data & Analytics.
  • Additive manufacturing.
  • Programming of industrial devices.
  • Cloud Computing.
  • Application of artificial intelligence techniques to the industry.
  • Industrial IoT.
  • Computing in industry.
  • Augmented reality.
  • Complete study skills

    Professional and academic career

    Some examples of the activities that graduates may carry out are:

  • Design, develop and implement digital systems for the automation of the industry.
  • Analyze data in the industry for the extraction of valuable information and proposal of improvement solutions at all levels of the company (at the field level, production planning and management).
  • Development of programming solutions in industrial environments (both at the operational level and at the management level).
  • Development of solutions for the management of digital information in the industry.
  • Program artificial intelligence systems in the 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.

    Graduates, if they wish to continue their training in the research activity, will be able to access doctoral studies. In particular, the Master in Industrial Informatics and Robotics is aligned with the doctoral program of Industrial, Informatics and Environmental Engineering of the ULL.

  • Professional environment

    Given the interuniversity nature of the degree, graduates will have the option of knowing other industrial environments in which they can enrich themselves and grow as professionals. Ultimately, the goal is to train the leaders of the digital transformation of our industry that our current society is demanding.

    Companies and institutions involved

    There are educational collaboration agreements with more than 80 companies, among which are: ALCOA, ENDESA GENERACIÓN S.A., FERROVIAL, GAMESA, GAS NATURAL SDG S.A., NAVANTIA, RED ELÉCTRICA, REGANOSA...

    Planning for teaching

    The distribution of subjects throughout the academic course is as follows:

    • First semester.

    During the first semester the student will take 6 compulsory subjects and 1 elective to choose from among 4 offered.

    • Second semester.
    • During the second semester the student will:

      6 optional subjects of an itinerary (the UDC offer 14 and the ULL 12), Internship in companies and the Master's Final Project.

      Schedules

    This study has teaching guide
    You can read it to learn more about the study. In the table below you can see the individual teaching guides for each subject.

    Study structure

    The masters are organized by modules. Click on a module for more information.

      Guide Type QTR. credits
    Industrial Drives Compulsory 1st 4.5 ECTS
    Advanced Automation Compulsory 1st 4.5 ECTS
    Embedded Systems Compulsory 1st 4.5 ECTS
    High-level Languages for Industrial Applications Compulsory 1st 4.5 ECTS
    Smart Robotics and Autonomous Systems Compulsory 1st 4.5 ECTS
    Virtual Instrument Programming Compulsory 1st 4.5 ECTS
    Industrial Automation Optional 1st 3 ECTS
    Control Technology Optional 1st 3 ECTS
    Computer Communications Networks Optional 1st 3 ECTS
    Information Systems in Industrial Environments Optional 1st 3 ECTS
      Guide Type QTR. credits
    Introduction to Python for Engineers Optional 2nd 3 ECTS
    Python for Engineers. Advanced Optional 2nd 3 ECTS
    Robotics Application Development: Introduction to ROS Optional 2nd 3 ECTS
    Robotics Application Development: Advanced ROS Optional 2nd 3 ECTS
    Autonomous Robotics Applications Optional 2nd 3 ECTS
    Machine Learning I Optional 2nd 3 ECTS
    Machine Learning II Optional 2nd 3 ECTS
    Machine Vision I Optional 2nd 3 ECTS
    Machine Vision II Optional 2nd 3 ECTS
    Mobile Robotics Optional 2nd 3 ECTS
    Emerging Manufacturing Technologies Optional 2nd 3 ECTS
    Emerging Manufacturing Technologies Workshop Optional 2nd 3 ECTS
    Mechanics of Robotic Systems Optional 2nd 3 ECTS
    Simulation and Analysis of Robotic Systems Optional 2nd 3 ECTS
      Guide Type QTR. credits
    Industrial Communications and Real-time Systems Optional 2nd 3 ECTS
    Cyber-physical Systems Optional 2nd 3 ECTS
    Industrial IoT Optional 2nd 3 ECTS
    Big-data & Analytics Optional 2nd 3 ECTS
    Augmented Reality, Artificial Vision Optional 2nd 3 ECTS
    Additive Manufacturing Optional 2nd 3 ECTS
    Smartcities - Smartregions Optional 2nd 3 ECTS
    Simulation for Industry 4.0 Optional 2nd 3 ECTS
    Computational Intelligence Optional 2nd 3 ECTS
    Cloud Computing Optional 2nd 3 ECTS
    Signal Processing with Machine Learning Optional 2nd 3 ECTS
    Metaheuristics Optional 2nd 3 ECTS
      Guide Type QTR. credits
    Work Placement Compulsory 2nd 3 ECTS
      Guide Type QTR. credits
    Master's Dissertation Compulsory 2nd 9 ECTS

    Teachers

    The study is taught by the following teachers:

    The masters are organized by modules. Click on a module for more information.

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    Student mobility

    UDC holds student mobility agreements with universities and other third-level institutions across four continents. Students are offered several opportunities each year to apply to study abroad in one of these centres (for a single term or for a whole year), with the guarantee that all credits obtained will be duly recognised in their academic record upon their return.

    For each round of applications, the University publishes the list of exchange options available to students and, where relevant, the specific conditions associated with each. Students may also apply to the University for funding for international work experience placements and internships.

    Work experience placements are accredited in the student's academic record and the European diploma supplement. Students are free to decide in which host company or academic institution within the EHEA they wish to carry out their placement. To assist them in their search, the University has created an online noticeboard with jobs postings and other news.

    Work-study placements in A Coruña are arranged by the International Relations Office (ORI) of the UDC in collaboration with the international relations coordinators in the student’s home university. The general entry criteria, rights and obligations of students, and admission and acceptance procedures for the programme, are regulated by the UDC Mobility Policy.