Master in Data Science and Machine Learning + 60 ECTS Credits Master in Data Science and Machine Learning + 60 ECTS Credits

Online Training

Master in Data Science and Machine Learning + 60 ECTS Credits

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1500 hours

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60 ECTS

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Spanish

Data Science is a constantly evolving field that focuses on the analysis, interpretation and extraction of knowledge from large data sets. Currently, due to the growing amount of data, the need for the development of professionals in Data Sciences is increasingly present. The ability to harness this enormous source of information and employ it in machine learning is an incredibly powerful tool. This Master in Data Science and Machine Learning provides solid and complete training with a practical and theoretical approach. The Master provides students with the skills necessary to address the challenges of data analysis and machine learning in diverse contexts.

Instituciones educativas

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

- Review structured programming. - See the development and design of user interfaces. - Study access to databases, as well as their use, exploitation and management. - Understand the main points of Data Mining. - Delve into the performance of Artificial Intelligence. - Typify the values ​​of Machine Learning and Deep learning.

Content

Career opportunities

The profiles of the Master in Data Science and Machine Learning have a wide range of job opportunities. They can work as data scientists, data analysts, machine learning engineers or data analysis consultants in companies in different sectors, such as technology, finance and economics, health and marketing.

What it prepares you for

This Master in Data Science and Machine Learning prepares students to apply advanced techniques and methods in data science and machine learning. Through structured programming, interface design, and database access, students gain practical skills to develop robust applications and systems. In addition, they learn techniques to guarantee the quality of their projects.

Addressed to

The Master in Data Science and Machine Learning is aimed at both professionals with prior knowledge, computer technicians, and those who wish to update their skills in these areas in response to the growing demand for professionals in the field of data science. Taking into account students of this branch who want to go deeper.

Methodology

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.

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