Master´s Degree in Continuing Education in Artificial Intelligence and Big Data + 60 ECTS Credits

Masters degree in artificial intelligence

4,6

20 alumnos

Entidad(es):

Modalidad

Online

Duración - Créditos

1500 horas - 60 ECTS

Plataforma Web

24 Horas

Centro Líder

formación online

Profesionales

Docentes especializados

Acompañamiento

Personalizado

Reconocidos por:

Acreditados como:

Temario

MODULE 1. ARTIFICIAL INTELLIGENCE

MODULE 2. DATA MINING, MACHINE LEARNING AND DEEP LEARNING

MODULE 3. ADVANCED DEEP LEARNING

MODULE 4. TECHNOLOGY ECOSYSTEMS

MODULE 5. IDEATION METHODOLOGIES AND TECHNIQUES AND AI PROJECT MANAGEMENT

MODULE 6. THE IMPACT OF AI ON BUSINESS

MODULE 7. INTRODUCTION TO BIG DATA

MODULE 8. RELATIONAL DATABASES. SQL. DATA WAREHOUSE

MODULE 9. NOSQL DATABASES

MODULE 10. MFP. MASTER’S DEGREE IN ARTIFICIAL INTELLIGENCE + BIG DATA

Descarga gratis el temario completo en PDF de masters degree in artificial intelligence

Plan de estudios

Resumen salidas profesionales

Big Data is defined as the process of collecting large heterogeneous amounts of data for analysis (sometimes in real time). This data set is so large and complex that traditional processing means are ineffective, hence, the new forms and computer applications capable of managing and processing all this amount of data must be developed. Big Data was born as a response to these challenges, and above all, so that through data analysis, we may be able to attract more customers, avoid losing them, and improve our operational processes. This program aims at guiding students in their understanding of the technologies behind Big Data and Artificial Intelligence. As a matter of fact, Artificial Intelligence applied to the real world requires extraordinary vision, and this course intends to show the path to understanding the technology, its applications, and the execution of advanced AI project management models.

Objetivos

The overall objective of this program is to guide the student towards developing a new technological profile and acquiring the management and software project development skills necessary in this changing world. The global objective consist of the following specific objectives: - Understand what Big Data is, why talk about Big Data, what it is for and the technological elements that support the concept. - Understand intelligent systems capable of responding to current demands. - Know and design the architecture behind Big Data and Artificial Intelligence - Develop ideation and management methodologies for AI projects - Identify the factors that convert an AI solution into a viable project.

Salidas profesionales

A Big Data + AI expert is capable of managing areas such as marketing, as well as the data team, and the analytics team, in addition to being able to lead a data-based transformation of the company. The job opportunities can be classified within the following groups: · Digital Marketing Specialist: In marketing, the application of Artificial Intelligence is key to analyzing markets and improving user experience, which leads to increased sales. · Business Translator: An expert who makes strategic decisions and who also has analytical training suitable to serve as a link between data scientists and business development. · Data Scientist: Special agent in the tasks of application and use of Machine Learning techniques. · Model Integrator: It is part of the chain of professionals responsible for executing Artificial Intelligence and Machine Learning work in the organization. It is a computer scientist who knows how algorithms work and is in charge of applying predictive models, as well as automating the change of that model when the continuous learning process improves it.

Para qué te prepara

The following master's degree will prepare you to manage and analyze the business data provided to you, as well as to be able to make strategic and operational decisions based on these data processing results. Know the different tools to perform this management and design advanced solutions.

A quién va dirigido

This master is aimed at profiles that are dedicated to information technologies, data analysts, managers and executives who want to acquire this skill, and students who have completed their university degree and want to increase their preparation and specialize it.

Metodología

Aprendizaje 100% online

Plataforma web en la que se encuentra todo el contenido de la acción formativa. A través de ella podrá estudiar y comprender el temario mediante actividades prácticas, autoevaluaciones y una evaluación final.

Campus virtual

Accede al campus virtual desde cualquier dispositivo, las 24 horas del día. Contando con acceso ilimitado a los contenidos de este curso.

Equipo docente especializado

El alumnado cuenta con un equipo de profesionales en esta área de formación, ofreciéndole un acompañamiento personalizado.

Centro del estudiante

Contacta a través de teléfono, chat y/o email. Obtendrás una respuesta en un tiempo máximo de 24/48 horas en función de la carga docente.

Carácter oficial

La presente formación no está incluida dentro del ámbito de la formación oficial reglada (Educación Infantil, Educación Primaria, Educación Secundaria, Formación Profesional Oficial FP, Bachillerato, Grado Universitario, Master Oficial Universitario y Doctorado). Se trata por tanto de una formación complementaria y/o de especialización, dirigida a la adquisición de determinadas competencias, habilidades o aptitudes de índole profesional, pudiendo ser baremable como mérito en bolsas de trabajo y/o concursos oposición, siempre dentro del apartado de Formación Complementaria y/o Formación Continua siendo siempre imprescindible la revisión de los requisitos específicos de baremación de las bolsa de trabajo público en concreto a la que deseemos presentarnos.

Titulación de masters degree in artificial intelligence

Master´s Degree in Continuing Education in Artificial Intelligence and Big Data with 60 ECTS Credits awarded by the Catholic University of Murcia in collaboration with Structuralia