Master in Artificial Intelligence
Ourense, Spain
Master degree
DURATION
2 years
LANGUAGES
Spanish
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2026
TUITION FEES
EUR 2,090 *
STUDY FORMAT
On-Campus
* EU: €1,671.60 - Non-EU: €2,089.50
Key Summary
About : The Master in Artificial Intelligence focuses on advanced AI techniques and their applications. You'll explore machine learning, data analytics, and intelligent systems. The program is structured to provide thorough training in both theory and practice, ensuring you gain the skills necessary for the rapidly evolving AI landscape.
Career Outcomes : Graduates can pursue various roles including AI Engineer, Data Scientist, Machine Learning Specialist, and Research Scientist. Opportunities exist across sectors such as technology, healthcare, finance, and academia, where advanced AI skills are in high demand.
The Master's Degree in Artificial Intelligence is an inter-university degree, taught by the Universities of A Coruña, Santiago de Compostela and Vigo, which is proposed as a complete program for the training of professionals and entrepreneurs in this branch of knowledge.
The advancement of new technologies and the development of intelligent systems require professionals with skills in numerous fields: computer science, mathematics, statistics and business. The objectives of the Master's study plan are the following:
- Train professionals with the ability to develop intelligent systems to help in decision-making at a scientific and business level.
- The student of this Master will be able to generate practical solutions to technological, business and social problems.
- Combining the study of subjects such as mathematics and computer science, with advanced management of the new digital information and communication technologies (statistics, artificial intelligence, autonomous learning...) the students who graduate from this degree will become a very attractive profile. when it comes to meeting the needs that are occurring in the labor market.
The training of this Master will cover the needs of various business sectors that increasingly require experts in the development of intelligent systems. The latest studies that were published highlight this profession as one of the most demanded and best paid.
This Master has a teaching load of 90 ECTS and is taught over three semesters (a year and a half). The degree is attached to the branch of Engineering and Architecture.
The ideal profile of students who access this Master's degree can be described based on a set of well-identified skills and knowledge, and also based on their previous academic training.
Among the desirable skills for students entering the training program, the following can be mentioned:
- Basic ability to handle new technologies.
- Capacity for abstraction, analysis, synthesis and logical reasoning.
- Capacity for teamwork.
- Sense of organization, attention to detail and practicality.
- Curiosity, imagination, creativity, innovation and entrepreneurial spirit.
- Interest in scientific and technological advances.
The following are indicated as recommended knowledge:
- Mathematics (analysis, linear algebra, geometry, basic statistics and probability).
- Programming, data structures and algorithms.
- Fundamentals of computer structure.
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1 Course  | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Code | Name | Four-month period | Select | Total Cr. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01101 | AI Fundamentals | 1c | OB | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01102 | Data engineering | 1c | OB | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01103 | Reasoning and planning | 1c | OB | 6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01104 | Natural Language Understanding | 1c | OB | 6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01105 | Machine Learning I | 1c | OB | 6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01106 | Computer Vision I | 1c | OB | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01107 | Intelligent robotics I | 1c | OB | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01204 | Language modeling | 1c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01205 | Web intelligence and semantic technologies | 1c | OP | 6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01206 | Deep learning | 1c | OP | 6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01201 | Explainable and trustworthy AI | 2c | OB | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01202 | Multi-agent systems | 2c | OP | 6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01203 | Knowledge and reasoning with uncertainty | 2c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01207 | Machine Learning II | 2c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01208 | Evolutionary Computation | 2c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01209 | Computer Vision II | 2c | OP | 6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01210 | Intelligent robotics II | 2c | OP | 6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01211 | AI Project Management | 2c | OB | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01212 | Process mining | 2c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01213 | Intelligent real-time systems | 2c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2nd Course | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Code | Name | Four-month period | Select | Total Cr. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01301 | Computational aspects of cognitive science | 1c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01302 | Text mining | 1c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01303 | AI in big data environments | 1c | OP | 6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01304 | AI in health | 1c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01305 | Smart IoT/ | 1c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01306 | Smart cybersecurity | 1c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01307 | Emerging Topics and Entrepreneurship in AI | 1c | OP | 3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| O06M193V01309 | Master's Thesis | 1c | OB | 12 |
| Select A | Code | Training and Learning Outcomes |
| A1 | CB6 - Possess and understand knowledge that provides a basis or opportunity for originality in the development and/or application of ideas, often in a research context | |
| A2 | CB7 - That students know how to apply the knowledge acquired and their problem-solving skills in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study. | |
| A3 | CB8 - That students are able to integrate knowledge and face the complexity of formulating judgments based on information that, although incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments. | |
| A4 | CB9 - That students know how to communicate their conclusions and the knowledge and ultimate reasons that support them to specialized and non-specialized audiences in a clear and unambiguous way. | |
| A5 | CB10 - Students will have the learning skills to enable them to continue studying in a manner that will be largely self-directed or autonomous. |
| Select B | Code | Knowledge |
| B1 | Maintain and extend sound theoretical approaches to enable the introduction and exploitation of new and advanced technologies in the field of Artificial Intelligence. | |
| B2 | Successfully address all stages of an Artificial Intelligence project | |
| B3 | Search and select useful information needed to solve complex problems, fluently handling bibliographic sources in the field. | |
| B4 | Prepare appropriate and original written compositions or reasoned arguments, draft plans, work projects, scientific articles, and formulate reasonable hypotheses in the field. | |
| B5 | Work as a team, especially in a multidisciplinary team, and be skilled at managing time, people, and decision-making. |
| Select C | Code | Skills |
| C1 | Understanding and mastery of techniques for processing texts in natural language. | |
| C2 | Understanding and mastery of the fundamentals and techniques of semantic processing of linked, structured and unstructured documents, and the representation of their content. | |
| C3 | Understanding and knowledge of knowledge representation and processing techniques using ontologies, graphs, and RDF, as well as the tools associated with them. | |
| C4 | Know the fundamentals and basic techniques of artificial intelligence and its practical application. | |
| C5 | Ability to design and develop intelligent systems through the application of inference algorithms, knowledge representation, and automatic planning. | |
| C6 | Ability to recognize problems that require a distributed architecture that is not predetermined during system design, which will be suitable for the implementation of intelligent multi-agent systems. | |
| C7 | Ability to understand the implications of developing an explainable and interpretable intelligent system. | |
| C8 | Ability to design and develop secure intelligent systems, in terms of integrity, confidentiality and robustness. | |
| C9 | Ability to have a deep understanding of the fundamental principles and models of quantum computing and apply them to interpret, select, evaluate, model, and create new concepts, theories, applications, and technological developments related to artificial intelligence. | |
| C10 | Ability to build, validate and apply a stochastic model of a real system based on observed data and critical analysis of the results obtained. | |
| C11 | Understanding and mastery of the main data analysis techniques and tools, both from a statistical and machine learning perspective, including those dedicated to processing large volumes of data, and the ability to select the most appropriate ones for problem solving. | |
| C12 | Ability to approach, formulate, and complete all stages of a data project, including understanding and mastering the fundamentals and basic techniques for searching and filtering information in large data collections. | |
| C13 | Knowledge of computer tools in the field of data analysis and statistical modeling, and the ability to select the most appropriate tools for problem solving. | |
| C14 | Understanding and mastery of the main machine learning techniques, including those dedicated to processing large volumes of data. Understanding and mastery of the fundamentals and basic techniques for searching and filtering information in large data collections. | |
| C15 | Knowledge of computer tools in the field of machine learning, and the ability to select the most appropriate one for solving a problem | |
| C16 | Knowledge of the process and tools for processing and preparing data, from acquisition or extraction, cleansing, transformation, loading, organization, and access. | |
| C17 | Understand and assimilate the capabilities and limitations of current intelligent robotic systems, as well as the technologies that support them. | |
| C18 | Develop the ability to select, design, and implement strategies based on artificial intelligence to equip robotic systems, both individual and collective, with the capabilities necessary to perform their tasks appropriately in accordance with the objectives and constraints set. | |
| C19 | Knowledge of different areas of application of AI-based technologies and their ability to offer differentiating added value. | |
| C20 | Ability to combine and adapt different techniques, extrapolating knowledge between different areas of application | |
| C21 | Knowledge of techniques that facilitate the organization and management of AI projects in real-world environments, resource management, and efficient task planning, taking into account concepts of knowledge dissemination and open science. | |
| C22 | Knowledge of techniques that facilitate data, application, and communications security, and their implications in different areas of AI application. | |
| C23 | Understanding and mastery of the basic concepts and techniques of digital image processing | |
| C24 | Ability to apply different techniques to computer vision problems | |
| C25 | Knowledge and skills to design systems for object detection, classification, and tracking in images and video. | |
| C26 | Understanding and mastery of the forms of representation of signals and images based on their data, as well as their fundamental characteristics and forms of representation. | |
| C27 | Understanding the importance of entrepreneurial culture and knowledge of the means available to entrepreneurs. | |
| C28 | Adequate understanding of the concept of business, its organization and management, and the different business sectors with the goal of facilitating solutions using Artificial Intelligence. | |
| C29 | Be able to apply knowledge, skills, and attitudes to the business and professional world, planning, managing, and evaluating projects in the field of artificial intelligence. | |
| C30 | Be able to pose, model and solve problems that require the application of artificial intelligence methods, techniques and technologies. |
| Select D | Code | Competencies |
| D1 | Express yourself correctly, both orally and in writing, in the official languages of the autonomous community | |
| D2 | Master oral and written expression and understanding of a foreign language. | |
| D3 | Use the basic tools of information and communications technologies (ICT) necessary for the exercise of their profession and for lifelong learning. | |
| D4 | Develop to exercise citizenship that respects democratic culture, human rights, and the gender perspective. | |
| D5 | Understand the importance of entrepreneurial culture and know the means available to entrepreneurs. | |
| D6 | Acquire life skills and healthy habits, routines, and lifestyles. | |
| D7 | Develop the ability to work in interdisciplinary or transdisciplinary teams to offer proposals that contribute to sustainable environmental, economic, political, and social development. | |
| D8 | Assess the importance of research, innovation and technological development in the socioeconomic and cultural advancement of society | |
| D9 | Have the ability to manage time and resources: develop plans, prioritize activities, identify critical issues, set deadlines, and meet them. |