Master's Degree in Industrial Computing and Robotics

Curriculum structure

Planning the teaching involves the structuring of content, systems and methodologies that make it possible to acquire the knowledge, capacities, abilities and basic skills necessary for students to be able to develop their activity in any of the lines specified in the professional profile defined for the degree. 

The curriculum, structured into modules/subjects and courses, is based on the regulatory framework for the organization and verification of official university education—Royal Decree 1393/2007—and the guidelines developed by the University of La Laguna.

In the first semester, in addition to the required subjects, students must take an optional subject from those offered that semester. For an entry profile for an industrial engineering graduate, the recommendation is to take at least one of the following subjects: "Computer Communications Networks" and "Information Systems in Industrial Environments." For an entry profile for a computer engineering graduate, the recommendation is to take at least one of the following subjects: "Industrial Automation" and "Control Technology."

In the second semester, students will take a set of elective subjects from among those offered in the second semester for the chosen specialisation, in order to complete the 21 elective credits required to obtain the degree. It is not possible to take elective subjects chosen from different specialisations. In addition, they will take the subjects “Internships in companies” and “Master's Final Project” at the university that offers the chosen specialisation.

Structure

Curriculum for the Master's Degree in Industrial Computing and Robotics
1st semester2nd semester
FIRST YEAR
Subjects Guy ECTS Subjects Guy ECTS
Internet of ThingsOB4,5InternshipsPE3
Advanced AutomationOB4,5Master's ThesisTFM9
Embedded SystemsOB4,5Optional**OP
High Level Languages for Industrial ApplicationsOB4,5
Intelligent Robotics and Autonomous SystemsOB4,5
Virtual Instrument ProgrammingOB4,5
Optional *OP
FIRST YEAR ELECTIVES
1st semester (MODULE: COMMON)2nd semester (MODULE (UDC): ROBOTICS)
Subjects Guy ECTS Subjects Guy ECTS
Industrial AutomationOP3Information Systems in Industrial EnvironmentsOP3
Control TechnologyOP3Python for Advanced EngineersOP3
Computer Communications NetworksOP3Robotics Application Development: Introductory ROSOP3
Python for Engineers IntroductoryOP3Robotics Application Development: Advanced ROSOP3
Introductory Machine LearningOP3
Advanced Machine LearningOP3
Introductory Computer VisionOP3
Advanced Machine VisionOP3
Autonomous Vehicles IntroductoryOP3
Emerging Manufacturing TechnologiesOP3
Emerging Manufacturing Technologies WorkshopOP3
Mechanics of Robotic SystemsOP3
Simulation and Analysis of Robotic SystemsOP3
MODULE (UDC): ROBOTICSMODULE (UEX): CYBER-PHYSICAL SYSTEMS
Subjects Guy ECTS Subjects Guy ECTS
Information Systems in Industrial EnvironmentsOP3Organizational Systems EngineeringOP3
Industrial Communications and Real-Time SystemsOP3Rehabilitation RoboticsOP3
Cyber-physical systemsOP3Flexible and Soft RoboticsOP3
Industrial IoTOP3MicroroboticsOP3
Big Data & AnalyticsOP3Digital Signal ProcessingOP3
Augmented Reality, Computer VisionOP3SLAMOP3
Additive ManufacturingOP33D Computer VisionOP3
Smartcities – SmartregionsOP3Machine LearningOP3
Simulation for Industry 4.0OP3Drone ProgrammingOP3
Computational IntelligenceOP3Extended RealityOP3
Cloud ComputingOP3Virtual Prototyping and Digital TwinsOP3
Signal Processing with Machine LearningOP3Cyber-Physical Systems with Human in the LoopOP3
MetaheuristicsOP3Distributed Embedded SystemsOP3

* It is recommended to choose at least 1 option from among the 4 offered.

** Students will take: 3-7 electives from a single pathway (UDC offers 14, ULL 13 and UEX 13) depending on the electives chosen in the first semester (they must take a total of 21 credits of electives between both semesters)