Master of Permanent Training in Big Data and Data Science + 60 Credits ECTS
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Syllabus
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Summary
Currently, in many sectors, the growing amount of data and the rise of the Internet of Things (IoT) present the need to analyze and process all this information for the improvement and adaptation of business strategies. In addition, all companies seek to reduce their costs and by applying the appropriate Big Data techniques this objective can be met. With this master's degree in Big Data and Data Science you will have the possibility to work on projects where the best solution is sought without neglecting the scalability of the data. In addition, you will have a team of professionals specialized in the field. In addition, thanks to guaranteed practices, you can access a labor market in full expansion.
Goals
Professional opportunities
To prepare you
In this master's degree in Big Data and Data Science you will manage mass data, seeing the different phases to follow to exploit their full potential and draw relevant conclusions for companies. You will use the most current tools in Big Data projects, you will analyze data with Python and R, you will apply Machine Learning algorithms, you will create chatbots, you will create reports with Power BI and apply the web analytics with Google Analytics.
Who is it addressed to?
The Master in Big Data and Data Science can be applied to many sectors and profiles, so it is aimed at those who want to know what the Big Data consists of, how they can apply it in different areas with the aim of improving their professional career and with what tools you can carry out said analysis of large volumes of data.
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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Continuous and adaptive feedback. Because learning is a process, not a number.
Certification
University Degree for Permanent Training in Big Data and Data Science with 1500 hours and 60 ECTS credits from the Catholic University of Murcia
EducaHub Scholarships
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Alumni Scholarship: for former EducaHub students.
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Unemployment Scholarship: if you prove that you are unemployed.
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Large Family Scholarship: for families with 3 or more children.
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Disability Scholarship: for people with disabilities ≥33%.
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Emprende Scholarship: for self-employed workers who can prove their activity.
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Recommended Scholarship: if you come recommended by a former student.
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Group Scholarship: for joint registrations of 3 or more people.
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