Official Qualification
Master the key AI techniques: Machine Learning, Deep Learning, NLP, Computer Vision and AI agent systems using Python, TensorFlow and PyTorch. Study using a flexible online approach, learn from a team of experts with links to companies such as Microsoft, IBM and Santander, and prepare to apply AI to real-world projects involving data, automation and digital transformation.
Transform the way you work with generative artificial intelligence. This micro-credential enables you to apply tools such as ChatGPT, Copilot or Gemini in information analysis, content creation and decision-making, integrating innovative solutions in an ethical and responsible way in real professional environments.
Develop your professional potential through leadership and interpersonal skills. This micro-credential provides you with the keys to manage teams, communicate effectively and solve problems in real-world environments, combining personal leadership techniques with practical productivity and collaboration tools.
Master's Degree in Artificial Intelligence
Year 1
FIRST FOUR-MONTH PERIOD
| Code | Subjects | Character* | ECTS |
|---|---|---|---|
| SM142000 | La IA en el mundo empresarial | OB | 6 |
| SM142001 | Matemáticas y estadística para la IA | OB | 6 |
| SM142002 | Programación y entorno de trabajo para la IA | OB | 6 |
| SM142003 | Técnicas de IA: Clasificaciones y agrupaciones | OB | 6 |
| SM142004 | Técnicas de IA: Regresiones, deep learning y otros | OB | 6 |
| SM142050 | Lenguaje de programación | CM | 6 |
| TOTAL: | 36 | ||
SECOND FOUR-MONTH PERIOD
| Code | Subjects | Character* | ECTS |
|---|---|---|---|
| SM142005 | Áreas de aplicación y casos de uso: entornos con datos estructurados | OB | 6 |
| SM142006 | Áreas de aplicación y casos de uso: entornos con datos no estructurados | OB | 6 |
| SM142007 | Calibración, métricas y explicabilidad de modelos de IA | OB | 6 |
| SM142008 | Prácticas académicas externas | OB | 6 |
| SM142009 | Trabajo Fin de Máster | OB | 6 |
| TOTAL: | 30 | ||
*Character: BT: Basic Training, Ob: Required, Op: Optional
The main reason why at UAX there are students like you is the possibility of making your personal, professional and academic life compatible. Our differential value is a methodology without barriers, focused on you and your desire to learn.
How is our methodology?
In addition, you will have the complete availability of our campus in Madrid, to carry out your formalities, solve your doubts and enjoy the facilities it offers.
Discover the official status of your degree and official recognition in your country:
Once you have completed your studies in the Official Master's Degree in Artificial Intelligence you will receive your official European degree issued by the Alfonso X el Sabio University, the first private university in Spain with more than 30 years of experience. Its official programmes are degrees verified by the Council of Universities and fully valid in Spain, as well as in the European Higher Education Area. It has the homologation and automatic recognition by the Educational Systems of Latin America and their corresponding Ministries of Education: SENESCYT, MEN (MinEducation), SEP, Mescyt, among others.
This Master’s Degree in Artificial Intelligence is open to students who have completed one of the following degree programmes or similar:
In addition, students from the following degree programmes may be eligible for the master’s programme by completing basic supplementary modules:
Join this enriching optional experience, to be held in June 2026, the days prior to the graduation of your Online Master, where you will have the opportunity to immerse yourself in the business world of Madrid. You will be able to enjoy lectures given by leading companies from various sectors, participate in leadership talks with a practical focus and connect with influential professionals and managers. At the end, you can enjoy an exclusive networking event, where you can expand your network of contacts and explore new professional opportunities. This unique face-to-face experience is designed as a meeting point between technology, business and student and will take place at the UAX Chamberí campus, in the heart of Madrid.
UAX obtains the highest rating of 5 stars and the overall "Excellent" badge for Employability, Teaching, Academic Development, Facilities, Online Teaching and Good Governance in the prestigious international QS Stars rating.
According to the Forbes 2025 List, UAX is positioned in the TOP 2 Spanish Universities in the adoption of Generative AI in the training of its students, developing innovative learning tools and models aligned with technological evolution.
UAX is recognised as the second most innovative university in Spain, the only private university among the top three in the ranking. This recognition highlights our transversal commitment to AI and training in sustainability.
Forbes ranks UAX as the private university with the most graduates working in its area (nearly 90%), thanks to a unique educational model firmly linked to the labour market through more than 8,800 agreements with companies.
The prestigious ranking of the BBVA Foundation and the IVIE recognises us as the university with the best job placement in Spain in 2023, consolidating our model focused on the real employability of our graduates.
The Coordenadas Institute of Governance and Applied Economics places UAX as the private university of reference in Madrid, highlighting our practical training model aligned with the reality of the market.
PhD (cum laude) in Computer Science from the University of Salamanca, with a European distinction. ANECA-accredited lecturer. Over 20 years’ experience as an ICT lecturer and supervisor of undergraduate and postgraduate dissertations. Head of the DevSecOps Centre of Excellence at Santander Digital Services. Extensive experience in the management and implementation of software projects.
PhD candidate in Finance and Quantitative Economics, with a Master’s degree in Quantitative Economics and Data Science. He holds a Certificate in Quantitative Risk Management (CQRM) and has over 15 years’ teaching experience. His research focuses on dynamic and stochastic systems applied to economics and finance.
Senior Data Manager at IKEA. Master’s degrees in Big Data Analytics and Artificial Intelligence. Extensive experience in cloud development, data platforms, data governance and MLOps. Has collaborated with various research teams and taught at European universities.
She holds a degree in Telecommunications Engineering from the Polytechnic University of Madrid and a Master’s degree in Deep Learning. She currently works as a Technical Specialist in the Data & AI division at Microsoft.
Data Scientist at IBM Spain, specialising in the application of advanced algorithms for time series forecasting and predictive modelling, using advanced techniques such as LSTM and Prophet for the analysis of financial and industrial data. Develops Retrieval-Augmented Generation (RAG) solutions to improve response generation in GenAI systems, optimising access to relevant information in generative models.
Computer Science graduate from the Polytechnic University of Madrid. Over 20 years’ experience teaching ICT at companies and universities. Member of the DevSecOps team at Santander Digital Services, coordinating and participating in the implementation of conversational assistants integrated with predictive and generative AI solutions, such as Google Dialogflow, Azure OpenAI and AWS Bedrock.
PhD in Geomatics Engineering from the Polytechnic University of Madrid, Master’s degree in Disaster Prevention and Management, and Industrial Engineer. Specialises in machine learning, geostatistics and intelligent systems, applying these techniques to research into seismic vulnerability and risk management at the urban level.
He holds a degree in Mathematics from the University of Valencia, specialising in Bayesian statistics. He has experience in the field of data science and statistical modelling. He currently works as a data scientist in the consultancy department at Management Solutions, where he carries out advanced analytics projects and develops complex models for the financial sector.
Industrial Engineer, MBA and Master’s in Data Science & Business Analytics, with over 20 years’ experience in consultancy within the energy and infrastructure sectors. He currently heads the data analytics and business intelligence unit at SEURECA-VEOLIA and is a PhD candidate in the Information and Communication Technologies programme.
A Computer Science graduate and Executive MBA holder with over 15 years’ experience leading IT strategies in the pharmaceutical, manufacturing and education sectors. An expert in digital transformation, ERP, CRM and data analytics. He is currently CIO at Alcaliber, where he drives global projects focused on innovation and operational efficiency.
Computer Science graduate from the Pontifical University of Salamanca. Master’s degree in Business Administration. Over 20 years’ experience in IT environments. Expert in designing efficient cloud environments. He is head of the DevOps Hub Europe at Santander Digital Services.
She holds a PhD in Data Analysis from the Complutense University of Madrid. She currently works at the ISPA’s Biostatistics and Epidemiology Platform and collaborates with various biomedical research groups at hospitals across Spain and Europe.
Computer Science graduate from the University of Huelva. Experience in DevOps environments and cloud architectures. Specialised in deployment automation, access management and infrastructure design. Experience in migrating on-premises systems to the cloud and delivering training in this field.
She holds a degree in Business Administration, specialising in Data Science and Big Data. With over 20 years’ experience in banking, she is currently part of the Artificial Intelligence team at Banco Santander, where she leads global initiatives in generative AI applied to business. An expert in data analytics, CRM and systems integration, with a focus on the connection between business and technology.
Artificial intelligence is the combination of algorithms from which computer systems mimic human intelligence processes using machines, processors and software to perform data processing and analysis tasks, thus improving decision making in any sector.
This Master’s Degree in Artificial Intelligence is open to students who have completed one of the following degree programmes or similar:
In addition, students from the following degree programmes may be admitted to the master’s programme by completing basic supplementary modules:
To get the most out of the Master in Artificial Intelligence, it is advisable to have a previous background in technology, programming, engineering, mathematics, data analysis or related areas. It is not only about knowing tools, but also having the ability to work with computational logic, interpret data and understand how artificial intelligence models are applied in professional environments.
The master's degree is part of the Business & Tech area of UAX, which combines business, technology, data and artificial intelligence to train profiles capable of leading digital transformation processes.
The Online Master's Degree in Artificial Intelligence will allow you to master the AI techniques most in demand by companies, such as:
In addition, by studying artificial intelligence you will be trained in agile methodologies such as Agile, SCRUM, Lean and Kanban, preparing you to work in high-performance teams.
From day one, you will be connected to the business world through workshops, workshops and internships in leading companies in the technology sector such as Avanade by Microsoft, Hispasat, Accenture, Telefónica and IBM, among others.
El Máster en Inteligencia Artificial (IA) te proporciona una base sólida y conocimientos avanzados en el campo de la IA. Con este título, puedes convertirte en especialista en IA y trabajar en diversas áreas, abriéndote puertas a roles en investigación, desarrollo de productos, consultoría y más.
The UAX online Master's in Artificial Intelligence is studied through a flexible methodology, designed so that you can combine your training with your professional and personal life. You will have access to live classes, content available 24/7, virtual campus, practical activities, multimedia resources and monitoring by the teaching and tutoring team.
The training is oriented towards active learning, with cases, projects and assessments adapted to the online environment, so that you can progressively advance and apply the knowledge acquired in real contexts. UAX's online methodology includes live classes, virtual campus, personalised monitoring, continuous assessment and multimedia resources.
The online mode allows you to study the Master's in Artificial Intelligence from anywhere, with access to the content whenever you need it and with an organisation designed for professionals who want to continue training without pausing their work activity.
In addition to the flexible timetable, you will have live classes, materials available from any device, virtual campus, teaching support and continuous assessment. This modality allows you to progress at your own pace without giving up contact with teachers, classmates and resources oriented to professional practice.
Los egresados estarán formados para desarrollar funciones de asesoramiento y consultoría en áreas de alto impacto como: machine learning, ciencia de datos, redes neuronales artificiales, sistemas de recomendación, procesamiento de lenguaje natural o visión artificial. Podrán incorporarse a puestos como “Data Scientist” o “Data Analyst”, Director de proyectos de machine learning, Data Scientist / Architect, Consultor tecnológico , AI developer o programador de inteligencia artificial, Especialista en procesamiento de lenguaje natural (NLP o Natural Language Processing), Ingeniero de Inteligencia Artificial , Consultor en Data Mining y experto en inteligencia artificial como SaaS (Software as a Service o Software como Servicio)
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Queries, complaints and claims
We listen to the real demands of our students and employees, because we believe in the continuous improvement of results. Therefore, we always want to listen to everything you want to tell us.
If you already belong to UAX, through the virtual campus in the section Customer service: complaints, suggestions and congratulations, entering your username and password.
Telephone: 91 810 94 00
E-mail: paramejorar@uax.es
Opening hours: Monday to Friday from 9:00 am to 6:00 pm
