Own Master in Artificial Intelligence and Deep Learning

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The University of Alcalá offers courses leading to official university degrees valid all over Spain and where applicable, throughout the territory of the European Union.

In its official studies, the University of Alcalá promotes training that is balanced in theoretical and practical aspects, promoting freedom of opinion, based on a command of content to grasp the scientific, technical or artistic methods needed to achieve the social return on the public resources invested in the training process in productive activity of future graduates.

These studies include Undergraduate Degrees, Master's Degrees and Doctorates courses.


Official Studies


Máster Propio en Artificial Intelligence and Deep Learning

Código del plan de estudios


Universidades participantes

Universidad de Alcalá



José Ignacio Olmeda Martos     josei.olmeda@uah.es



  José Ignacio Olmeda Martos /Leyre Ascordebeitia/Lino Gonzalez

  Dirección:  Laboratorio de Finanzas Computacionales, Escuela Politécnica

  Teléfono: +918856674

  E-mail: josei.olmeda@uah.es


Objetivos formativos

  • The study aims to provide a complete training in the field of the use of the tools of Artificial Intelligence and Deep Learning in Business and Industry. It is intended that the student understands the general problem of automated modeling and the enormous applications that it offers.

  • Specifically the study intends that the student is able to:

  • Know the formal foundations of the tools of Automatic Learning and, in particular, of Deep Learning.

  • Be able to implement the different algorithms in high level languages: (Python, R or others) in order to solve real problems and to understand the difficulties of implementing such algorithms in practice.

  • Propose solutions based on Deep Learning from a broad perspective, considering the ethical and legal aspects and the economic and social implications of the automation of the processes in the businesses.


Competencias a adquirir

  • Understand and be able to analyze the tools of Artificial Intelligence that can be used in different contexts such as Medicine, Finance or Transportation.

  • Master the different architectures of Deep Learning, its mathematical foundations and its applicability in the context of various problems such as classification or dynamic prediction.

  • Formally understand concepts such as Learning, Generalization, over-training, regularization, etc. and to understand its impact in the construction of applied systems that solve problems.

  • Master programming of data structures and program flow in high-level languages such as Python.

  • Know in depth and be able to use the different tools and design schemes that allow the vectorization the paralleling of the algorithms.

  • Know the main applications of automatic learning in different areas, such as the granting of consumer credit, the grouping of clients according to their typology, the detection of diseases through radiological analysis or the autonomous guidance of vehicles.


Público al que va dirigido

Professionals and students interested in understanding the diverse tools of the Artificial Intelligence and Deep Learning applicable in diverse sectors like Medicine, the Finances or the Transport. The profile of the participants mainly includes students from technical careers but also from economics and law or medical sciences given the general applicability of the tools studied in the Master.

Plan de estudios




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Lugar de impartición


Horario de impartición


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Fundación General de la Universidad de Alcalá
Departamento de formación
C/ Mayor, 50
28801 Alcalá de Henares
Teléfono: 91.879.74.30
Fax: 91.879.74.55
e-mail: cursos@fgua.es

Requisitos generales de acceso

Requisitos adicionales de acceso



Documentación a presentar

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Importe del estudio

Precio por crédito: 98,33 €

Este importe no incluye precios por servicios administrativos y seguro de accidentes.

Forma de pago



La convocatoria y adjudicación de las becas correrá a cargo de la dirección académica del

  estudio.  El 10% de los ingresos de este estudio serán destinados a becas.