Upper University Course in Big Data for engineering (university degree + 8 ECTS credits)
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Syllabus
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Summary
At present, the amount of information generated daily is overwhelming. Companies require trained professionals in the management of large amounts of data to make decisions. It is here that the Big Data becomes relevant, since it is a tool that allows the processing and analysis of large volumes of information. This Big Data course for engineering is deepened in the process of Big Data projects, the importance of Business Intelligence and the Information Society is addressed, as well as the design of the process control systems and processes supervision. Our course has a practical approach, in which real Big Data tools and technologies are used, which allows the student to learn effectively.
Goals
Professional opportunities
To prepare you
This Big Data course for engineering prepares you to acquire knowledge in the management of large amounts of data, which will allow you to make business decisions. In addition, you will learn to design processes control and supervision systems interfaces, which will provide you with a competitive advantage in the labor market. You will be trained to face the current and future challenges of Big Data and apply your knowledge.
Who is it addressed to?
This Big Data course for engineering is aimed at engineers and technology professionals interested in acquiring knowledge in the management of large volumes of data, as well as in the design of process control systems. It is also suitable for those who want to specialize in Big Data and take advantage of job opportunities in a booming field.
Official Character
This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.
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Certification
University Superior University Degree in Big Data for Engineering with 200 hours and 8 ECTS credits from the Catholic University of Murcia
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