Upper University Course in Big Data applied to health (university degree + 12 ECTS credits)
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Temario
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Summary
Digitization is progressing in a wide variety of sectors. Pandemia has increased the need to adopt new business strategies and models. One of these elements is the analysis of large amounts of data, known as Big Data, which has become a fundamental aspect in many companies for information processing. If you are interested in the field of health, the Big Data course applied to health offers complete training that will allow you to obtain very useful knowledge in the field of Big Data. In the health sector, large volumes of information are usually handled, so the demand for professionals with Big Data and data processing is growing.
Goals
Professional exits
To prepare you
The Big Data in the health sector can have many applications, as in the study of disease transmission (during the Covid19 pandemic the big data has been widely used), as a security element in pharmacological treatments, in the management of human resources, in medical diagnoses, etc. This Big Data course applied to health prepares you to be able to apply Big Data in all these cases effectively.
Who is it addressed
This Big Data course applied to health is aimed at two branches of students: on the one hand, those students and professionals of health branches such as medicine or nursing who want to expand their knowledge to boost their career, and, on the other hand, professionals of data processing that want to guide their career to the health sector.
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.
Our methodology combines technology, pedagogy and empathy for a tailored learning.
You mark the rhythm, you decide the way and an artificial intelligence accompanies you to learn better, with meaning and purpose.
Realized personalized learning
Your style, interest and level define the route. You are the starting point.
Constructivism in action
Explore, experience and apply. Learning means understanding, not memorizing.
He who accompanies you, not who directs you
Phia, our artificial intelligence assistant guides you without limiting your autonomy.
Evaluation without pressure
Continuous and adaptive feedback. Because learning is a process, not a figure.
Certificación
Higher University Course degree in Big Data applied to health with 300 hours and 12 ECTS credits by the Catholic University of Murcia
EDUCAHUB Scholarships
Make your most accessible training: Finish 0% interest and get personalized scholarships.
In Eduahub we believe that education must be available to everyone. Therefore, we offer a scholarship plan that facilitates your access to practical, current and quality training, eliminating economic barriers.
-25%
Alumni Scholarship: For former students of Eduahub.
-20%
Unemployment scholarship: if you prove to be unemployed.
-20%
Numerous family scholarship: for families with 3 or more children.
-20%
Disability scholarship: For people with disabilities ≥33%.
-15%
Emprende Scholarship: For self -employed that accredit your activity.
-15%
Scholarship recommends: If you come recommended by an alumnus.
-15%
Group scholarship: For joint inscriptions of 3 or more people.
An entire educational universe, on a single platform.
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Learn at your pace
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Access from anywhere
Available 24/7 on mobile, tablet or PC. You decide when and how to train.
Phia, your mentor ia
It challenges you, motivates you and customizes your path. Learn with a guide that evolves with you.
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