Master in Big Data and Data Science + 60 ECTS Credits

Online Training

Master in Big Data and Data Science + 60 ECTS Credits

Name: Master in Big Data and Data Science + 60 ECTS Credits
Brand: INESEM - INSTITUTO EUROPEO DE ESTUDIOS EMPRESARIALES
SKU: 258285-2501
Availability: OutOfStock

icon-image--AbjlOSDZzVEJNY0s3S__icon_7yVPEV

1500 hours

icon-image--AcnI1bkFZTjZZaTE3U__icon_xJgfxr

60 ECTS

icon-image--AWUI0N2tWMzVrNzMzT__icon_DgE8xz

Spanish

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 to improve and adapt companies' business strategies. Furthermore, all companies seek to reduce their costs and by applying appropriate Big Data techniques this objective can be met. With this Master in Big Data and Data Science you will have the possibility of working on projects where the best solution is sought without leaving aside the scalability of the data. In addition, you will have a team of professionals specialized in the matter. Furthermore, thanks to guaranteed internships, you will be able to access a rapidly expanding labor market.

Instituciones educativas

£1,953

Request information

I'm interested I'm interested

I'm interested

Details to take into account

icon-image--AUzhDQ3dCN3hXZ1RaS__icon_p9pcRc

Multilingual support

icon-image--AQVZldVUybkd2c2xSS__icon_ptJqNh

Digital certificate included

icon-image--AV0haRDQrMjBZRURoV__icon_zyt3R8

Assistant Phia

Objectives

- Learn the principles of Big Data and the development of the phases of a Big Data project. - Know the existing tools and their use to analyze and exploit massive data. - Exploit data and visualize results through Data Science techniques. - Understand and use statistical programming with R and Python. - Know what Data Mining consists of and apply it correctly. - Know how to use web analytics for Big Data and apply them through Google Analytics. - Create professional data visualizations and share reports using Power BI.

Content

Career opportunities

Thanks to the realization of this Master In Big Data and Data Science you will be able to develop Big Data projects and it will allow you to work in specialized positions such as Consultant/Auditor of Big Data systems, Data Analyst, Architect in Big Data solutions, Expert in development strategies using Big Data, Application programmer in Python and R or Data Scientist.

What it prepares you for

In this Master In Big Data and Data Science you will manage massive data, seeing the different phases to follow to exploit its full potential and draw relevant conclusions for companies. You will use the most current tools in Big Data projects, analyze data with Python and R, apply machine learning algorithms, create chatbots, create reports with Power BI and apply web analytics with Google Analytics.

The Master in Big Data and Data Science can be applied to many sectors and profiles, so it is aimed at those people who want to know what Big Data consists of, how they can apply it in different areas with the aim of improving their professional career and with what tools these analyzes of large volumes of data can be carried out.

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.