Master in Data Science and Automatic Learning + 60 ECTS credits

Data science is a constantly evolving field that focuses on the analysis, interpretation and extraction of knowledge of large data sets. At present, due to the growing amount of data, the need for the development of professionals in the data sciences is increasingly present. The ability to take advantage of this huge source of information and use it in automatic learning is an incredibly powerful tool. This Master in Data Science and Automatic Learning provides solid and complete training with a practical and theoretical approach. The Master gives students the necessary skills to address data analysis challenges and automatic learning in various contexts.

- Review structured programming. - See the elaboration and design of user interfaces. - Study access to databases, as well as its use, use and management. - Understand the main points of Data Mining. - Deepen the performance of artificial intelligence. - Typify the values of the Machine Learning and deep learning.

Profiles of the Master in Data Science and Automatic Learning have a wide range of job opportunities. They can perform as data scientists, data analysts, automatic learning engineers or data analysis consultants in companies from different sectors, such as technology, finance and economic, health and marketing.

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

The Master in Data Science and Automatic Learning is aimed at both professionals with previous 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 they want to deepen.

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.