Upper University Course in Big Data applied to health (university degree + 12 ECTS credits)

Educational Institution
Mode On-line
Duration 300 hours
Credits 12 ECTS
Languages Spanish
360
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Curriculum

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

- Know the characteristics and concepts of Big Data. - Understand the use of new technologies in the health sector. - Analyze the term e-health and its possibilities. - Know the different applications and cases of use of the Big Data in the health sector. - Dominate and apply Big Data in real projects to solve complex problems.

Professional opportunities

This Big Data course applied to health, which is developed with a practical methodology and updated content, enables you so that you can practice professionally as a Big Data expert in the health sector (both public and private), leading Big Data strategies projects, as a Big Data technician, an external advisor or consultant, among others.

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 to?

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.

Methodology

Our methodology combines technology, pedagogy and empathy for learning tailored to you.

You set the pace, decide the path and artificial intelligence accompanies you so that you learn better, with meaning and purpose.

Truly personalized learning

Your style, interests and level define the route. You are the starting point.

Constructivism in action

Explore, experiment and apply. Learning means understanding, not memorizing.

AI that accompanies you, not 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 number.

Certification

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Higher University Course degree in Big Data applied to health with 300 hours and 12 ECTS credits by the Catholic University of Murcia

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Scholarships

EducaHub Scholarships

Make your training more accessible: finance at 0% interest and obtain personalized scholarships.

At EducaHub we believe that education should be available to everyone. For this reason, we offer a Scholarship Plan that facilitates your access to practical, current and quality training, eliminating economic barriers.

-25%

Alumni Scholarship: for former EducaHub students.

-20%

Unemployment Scholarship: if you prove that you are unemployed.

-20%

Large Family Scholarship: for families with 3 or more children.

-20%

Disability Scholarship: for people with disabilities ≥33%.

-15%

Emprende Scholarship: for self-employed workers who can prove their activity.

-15%

Recommended Scholarship: if you come recommended by a former student.

-15%

Group Scholarship: for joint registrations of 3 or more people.

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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 AI mentor

It challenges you, motivates you and personalizes your path. Learn with a guide that evolves with you.

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