Master in Data Management + 60 ECTS Credits Master in Data Management + 60 ECTS Credits

Online Training

Master in Data Management + 60 ECTS Credits

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1500

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60 ECTS

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Spanish

We are in a stage of technological change. Every day the amount of information we generate grows and more and more advances are seen in the automation of tasks and the creation of intelligent artificial models within companies, web pages, applications, etc. All of this makes the importance of knowing how to analyze these large volumes of data, known as Big Data, becoming transcendental for making any important decision within a company, social field or any other professional field. Knowing how to interpret all these large volumes of information and apply it in fields such as artificial intelligence, machine learning and deep learning becomes key to carrying out a technological update within any company. Thanks to completing this Master in Lifelong Training in Data Management you will be able to obtain the necessary knowledge for the analysis of massive data and its application in the field of artificial intelligence (AI). In addition, you will discover a world full of job opportunities and booming due to the increasing importance of differentiating yourself from competitors and updating all business processes to the digital age. In completing the master's degree you will have a team of professionals specialized in the subject who will help you at all times and thanks to the guaranteed internships in leading companies within the sector you will be able to access a job market with great growth and future.

Instituciones educativas

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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

- Discover the importance of Big Data and its main applications. - Learn to use the main Big Data tools. - Understand the importance and relevance of artificial intelligence and its application to build intelligent systems thanks to machine learning and deep learning. - Analyze and process data using Python and R, key languages ​​in statistical programming. - Learn how to create a chatbot thanks to the use of natural language processing. - Understand the importance and know how to apply cybersecurity in all these areas.

Content

Career opportunities

Thanks to completing this master's degree, you will be able to apply for positions with a great future and as important as Big Data Scientist, Data Manager, AI Developer, Data Science Consultant, Data Analyst, Data Engineer or leader of big data projects.

What it prepares you for

By completing this Master in Lifelong Training in Data Management you will learn to collect and manage the large volume of information that is shared every day. Using different tools and analysis, key conclusions can be drawn for the advancement, updating and innovation of any company. Furthermore, thanks to the use of artificial intelligence, machine learning and deep learning, this update will adapt to the latest market trends.

Addressed to

The Master in Lifelong Training in Data Management is mainly aimed at IT professionals who wish to take a quality leap in their careers thanks to the study and application of large volumes of information in areas such as artificial intelligence, Machine Learning and Deep Learning, which are increasingly important in all current and future technologies. In addition, it is also designed for those students who are looking for specialized training that helps them enter the labor market through its guaranteed internships.

Methodology

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.

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