Official Master's Degree in Big Data and Data Science

• Título oficial
• Castellano
• 13ª Edición
• Modalidad: Online
• Créditos: 60 ECTS

Definition of the Master in Big Data and Data Science

This Master's Degree in Big Data and Data Science offers you the training you need to become that in-demand profile. To achieve this, it has a high technical/practical component and is structured in three modules :

1. Big Data Processing, we delve deeper into what a Big Data project is and the technical components necessary for storage and processing.
2. Data science analytics, focusing on the preparation, cleaning and understanding of data, modeling and visualization.
3. Business Intelligence, emphasizing the reception and practical application of information.

¿Qué hace a esta maestría única?

1. 100% online methodology. Classes, exams, final degree thesis and online practices.
2. Exámenes online sin desplazamientos. Obtén tu título oficial de forma 100% online gracias a la seguridad y rigor del sistema de acreditación biométrica y antifraude, mediante reconocimiento facial y monitorización de la actividad de la pantalla y verificación del entorno mediante una segunda cámara.
3. Live two-way classes that will allow you to interact with your teacher and classmates, breaking any barrier to presence.
4. The classes are recorded and available so you can consult and review them as many times as you want.
5. Optional company internships. So that you can access the labor market only if you need it.
6. Optional options in Cloud Computing, Deep Learning or Project Management Methodologies that will allow you to start your specialization.
7. Use of new technologies related to Big Data and technological tools most used in the labor market.

Salida profesional

The graduate of this Master's degree will be able to apply for jobs related to the technological aspects of Big Data:

• Data Engineer. Expert in technological infrastructure.
• Project manager in Big Data and Data Science.
• Data Manager. Data manager.
• Data Solutions Architect.
• Data Scientis.
• Business Analyst.

Perfil de ingreso

To pursue this master's degree, it is recommended to have a solid foundation in mathematics and statistics, and basic programming knowledge, as well as skills in the use of computer tools and data processing capabilities.

Students are required to have a university degree (undergraduate, diploma, bachelor's degree, engineering, technical engineering) in one of the degrees detailed below:

• Undergraduate in Data Science, Degree in Data Science or equivalent.
• Undergraduate/Engineering/Technical Engineering in Computer Science
• Undergraduate/Engineering/Technical Engineering in Telecommunications.

Additionally, students from the following degrees will be accepted, conditional on passing different training complements.

• Degree/Bachelor's degree/diploma in the area of mathematics or physics (or equivalent).
• Degree/Higher Engineering/Technical Engineering not linked to ICT