The Master in Artificial Intelligence and Deep Learning provides a sound understanding of the principles, tools and implications of artificial systems capable of sensing, understanding and decision making and prepares students to build applications in diverse areas such as arts, sciences, and business.

Master in Artificial Intelligence and Deep Learning

Eighth edition. In English. Fully online

Master in Artificial Intelligence and Deep Learning

The Master in Artificial Intelligence and Deep Learning provides the tools to understand how Machine Intelligence works as well as to put into perspective the impact of artificial sensing, cognition and action in areas such as Finance, Engineering or Arts.

The objetives of the Master in Artificial Intelligence and Deep Learning consist on:

  • Understanding the formal foundations of Machine Learning and its implications in human-machine interactions.
  • Learning how to use high level languages in order to develop real applications based on AI as well as understanding the problems in implementing such applications in practice.
  • Guiding the proposal of AI-based solutions, considering the ethical and legal aspects and the economic and social implications.

Eighth Edition. In English. Fully Online.

Master in Artificial Intelligence and Deep Learning - Universidad of Alcalá - UAH
What do we offer?

Master in Artificial Intelligence and Deep Learning


Our Master Propio in Artificial Intelligence and Deep Learning allows you to make your training COMPATIBLE WITH YOUR WORK thanks to an innovative learning methodology.


A SOUND PREPARATION for a total of 60 ECTS (master level 7 EQF), which allows to cover in depth all the concepts and applications.


A METHODOLOGY focussed on practice and context, using cases, real situations and technological tools that allow you to learn from the beginning. The master combines prerecorded videos and live sessions with practical cases.


An UPDATED CURRICULUM, which ensures that our students are obtaining the latest knowledge in line with the trends and demands of Society.


We have arranged a team of OUTSTANDING PROFESSORS with hands-on experience in the design of Artificial Intelligence and Deep Learning Systems.


We develop a COMMUNITY AND ENVIRONMENT that allows students to keep in contact with the professional sector, with seminars and activities to enrich your training experience.


We will help you to design your PROFESSIONAL DEVELOPMENT PLAN to exploit at its most your talent and knowledge.


Study your master propio program at the UNIVERSITY OF ALCALA, one of the best Universities in Europe.
Candidate profile

Master in Artificial Intelligence and Deep Learning

The Master in Artificial Intelligence and Deep Learning targets both professionals and graduates interested on understanding the foundations and implications of Artificial Intelligence and Deep Learning in Business, Art, and Society.

Our graduated students come from diverse countries such as United Kingdom, Australia, United Arab Emirates, India, Netherlands, China, Germany, Saudi Arabia, Italy, Spain, Colombia, or Mexico among others.

Our students work in companies such as Nokia, Cisco, IBM, Phillips, Indra, HSBC, Google, Accenture, Omron, Roche, Telefonica, BBVA and Oracle, among others.


Master in Artificial Intelligence and Deep Learning


  • Arrays, matrices and vectors
  • Graphics
  • Program flow management
  • Interfaces and data loading
  • Programming exercises


  • History and Evolution of Artificial Intelligence
  • Supervised, unsupervised and reinforced Learning
  • Foundations of Machine Learning
  • Machine Learning Paradigms
  • Extensions


  • Feed-Forward single-layer networks
  • Multilayer Networks
  • Backpropagation Algorithm
  • Loss functions
  • Hyper-parameters and learning strategies


  • Introduction to CNN
  • CNN architectures
  • Object detection and semantic segmentation
  • CNN for image generation


  • Sequential and time series problems
  • Recurrent networks
  • Backpropagation through time
  • LSTM models


  • Introduction to Evolutionary Computation
  • Programming an Evolutionary Algorithm
  • Introduction to Genetic Programming
  • Genetic Programming: Finding the Hidden Function
  • Evolutionary Machine Learning


  • Introductions to unsupervised learning
  • Association rules and Recommendation systems
  • Advanced Clustering
  • Introduction to reinforcement learning
  • Markov decision process
  • OpenAI GYM


  • Cognitive Theories
  • Interaction design
  • Data and AI Ethics


  • Seminars on applications of Deep Learning to the fields of medicine, finance, automotive driving, computer vision, speech recognition and others


Independent research paper performed by the student on one of the topics of the Master. The paper needs to be presented and defended against a Committee at the end of the Master

The professors of the Master in Artificial Intelligence and Deep Learning have a mean practical experience of 15 years in the area of Artificial Intelligence. Most of them have a Ph.D.

Tenured Associate Professor of Economics (Finance) and of Computer Science (Artificial Intelligence). Fulbright Visiting Scholar in several US Universities and consultant for several Spanish Fortune 500 companies and for the Government. He has authored more than 100 publications and has lectured in the USA, Asia and Latin America. Director of the Laboratory of Computational Finance and Head of the Chair in Big Data and Predictive Analytics in Banking of the University of Alcalá.
Ignacio Olmeda, Ph.D.
Master's Director

Francisco Soler has a PhD in Computer Science in AI and a Bachelor in Mathematics. Professor in different Masters in Deep Learning area. It has more than 150 publications in prestigious international conferences and journals. Around private companies, he led the creation of Big Data-Analytics area in the technological consultancy Altran, a company specialized in Analytics and AI, he is currently part of the Artificial Intelligence division at Accenture as AI Senior Manager in Spain, Portugal and Israel.
Francisco Soler, Ph.D.

Associate Professor at the Department of Informatics of the University of Coimbra in Portugal. He is a deputy director of the Centre for Informatics and Systems of the University of Coimbra (CISUC), the coordinator of the Cognitive and Media Systems group and the scientific director of the Computational Design and Visualization Lab. of CISUC.
Penousal Machado, Ph.D.

Mathematician and Computer Engineer specialized in Machine Learning. Experience as a data scientist since January 2011. Also interested in academic work and research.
David Díaz Vico, Ph.D.

Professional with more than 15 years of experience in the development of analytical solutions for sectors such as banking, insurance, and retail. He is currently Head of Analytics and Artificial Intelligence at The Analytics Boutique, where developments have been recognized with multiple awards. PhD at the Polytechnic University of Madrid. In addition, he is the author of numerous scientific publications and packages for both R and Python.
Daniel Rodríguez, Ph.D.

Assistant Professor at the University of Coimbra, where he obtained is PhD in Information Science and Technology in 2016. He has been with the Centre for Informatics and Systems of University of Coimbra (CISUC) since 2009, as member of the Evolutionary and Complex Systems (ECOS) group.
Nuno Lourenço, Ph.D.

Daniel is Coordinator at the Laboratory of Computational Finance. His background includes Computer Science courses at the University of Alcalá and several other professional courses. He is a seasoned programmer in databases, algorithms and networks. He has worked in more than twenty projects in the application of IT in the areas of Finance, Tourism and Environmental Sciences for companies such as Repsol, Telefonica and Santander.
Daniel González

Head of AI Strategy at Everis. She started her career at Microsoft and MSN Search and has worked at Santander, FON and NH Hoteles where she was Marketing Director. Mayte completed her Advertising studies in Spain, Chile and Italy and has a Master in Integrated Marketing from the Kellog School of Management at Northwestern University (Fulbright Scholarship).
Mayte Hidalgo

Computer Scientist specialized in AI research and Data Analytics. He has a master’s degree in Big Data, and an expert program in Deep Learning. He works at Altran "World Class Center for Analytics" (Tessella) since 2015 where now at days he leads the AI R&D in the Spanish division.
Daniel Martínez

Physics specialized in quantum computing. Joined the Microsoft Quantum Docs team. She is currently working on writing the documentation for Q # and Azure Quantum. She studied theoretical physics at the Complutense University and a master's degree in Quantum Physics at the University of Innsbruck (Austria).
Sonia López

Data Scientist and quantum computer at IBM. He studied Mathematics at the University of Zaragoza, speaks 4 languages and did a research internship at Trinity College Dublin in the Hamilton. Awarded by the Fundación Universidad Empresa for academic excellence. Carmen teaches AI in various programs at UAH.
Carmen Recio
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