Master in Artificial Intelligence & Big Data + 60 ECTS Credits

Online Training

Master in Artificial Intelligence & Big Data + 60 ECTS Credits

Name: Master in Artificial Intelligence & Big Data + 60 ECTS Credits
Brand: STRUCTURALIA
SKU: 378812-2505
Availability: InStock

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1500 hours

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60 ECTS

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Spanish

Big Data is the process of collecting large heterogeneous amounts of data for analysis (sometimes in real time). That data set is so large and so complex that traditional means of processing are ineffective. Hence, new forms and computer applications capable of managing and processing all this amount of data must be developed. Big Data was born to respond to these challenges and above all so that through data analysis we are able to attract more customers, avoid losing them and improve our operational processes.

Instituciones educativas

2.245€

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

The overall objective of the Master is for the student to be able to develop a new technological profile, also acquiring management and software project development skills necessary in this changing world in which we live. This global objective is achieved through the following partial objectives: - Understanding intelligent systems capable of responding to current demand. - Know and design the architecture behind Big Data and Artificial Intelligence. - Develop ideation and management methodologies for AI projects. - Identify the factors that turn an artificial intelligence solution into a viable project.

Content

Career opportunities

The student will be able, as an expert in Big Data & Artificial Intelligence, to direct and manage areas of the company such as marketing, the data team, the analytics team and, above all, be able to direct the transformation of companies that want to make their transition leveraged on data. More specifically, professional opportunities can be framed within the following groups: - Digital Marketing Specialist: In marketing, where the application of Artificial Intelligence is key since it analyzes the markets and improves the user experience, which leads to an increase in sales. - The Business Translator is an expert who makes strategic decisions and also has analytical training suitable to serve as a link between data scientists and business development. - Data Scientist is the special agent in the tasks of application and use of Machine Learning techniques. - Model Integrator 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.

What it prepares you for

In the Master of Big Data & Artificial Intelligence we will be able to understand the technologies behind Big Data and Artificial Intelligence. Artificial intelligence applied to the real world requires extraordinary vision. In this course you will learn to understand the technology and apply advanced AI project management models.

This master's degree is aimed at all those students who have completed their university degree and want to specialize in AI and Big Data and at professional profiles that are within the technological area of development, processing and management of data and the creation of projects.

With our online learning methodology, the student begins his journey through a virtual campus designed exclusively to develop the training itinerary with the aim of improving his professional profile. The student must advance autonomously throughout the different teaching units as well as carry out the corresponding activities and self-assessments.
The load of hours of the training action includes the different activities that the student carries out throughout their itinerary. The hours of telelearning carried out on the Virtual Campus are complemented by the student's autonomous work, communication with the teacher, complementary activities and readings, and the research and creation work associated with the projects.
To obtain the degree, the student must pass all self-assessments and exams and view at least 75% of the contents of the platform. The Final Project is carried out after finishing the theoretical-practical content on Campus. Finally, it is necessary to notify the completion of the Master from the platform to begin the issuance of the degree.