Master en big data y business analytics

business analytics

The Master in Big Data, co-developed with the multinational technology company Indra, provides a global vision of Big Data technologies and their use, as well as applied and practical training in analytical techniques for business (Business Analytics).

Our alumni of this master’s degree work in companies such as Minsait, Indra, Everis, Telefónica, BBVA, Pragsis Bidoop (now part of Accenture), EY, SDG Group, Deloitte, Banco Sabadell and Banco Santander, among others.

IMF offers the Agile Methodologies Course: Scrum Fundamentals.  Agile methodologies applied to project management are increasingly valued by companies and, within agile methodologies, probably the best known and used is Scrum. This system is highly appreciated for its ability to facilitate agility and at the same time avoid risks when launching a project in any organization. Students enrolled in any IMF Smart Education program can access this course with very advantageous conditions. Find out more!

ciencia de los datos

MBA en Analítica de Datos Opciones de Carrera y Perspectivas de TrabajoTodas las organizaciones líderes del mundo necesitan gerentes capacitados para manejar todos sus datos. Siempre se requiere de una persona que pueda manejar todos los datos de la universidad para poder presentarlos bien. Como la demanda de un analista de datos está aumentando día a día, se están abriendo las puertas a muchas oportunidades de empleo en diversos sectores. Los candidatos pueden solicitar cualquiera de los perfiles laborales que les interesen. Algunos de los principales ámbitos de empleo se proporcionan a continuación. Además de esto, el candidato puede comprobar algunos de los principales perfiles disponibles en el sector. Algunos de los principales reclutadores que siempre están buscando un buen analista de datos se enumeran a continuaciónFAQ’SQ: Tengo que aplicar para todo el examen de gestión para obtener la admisión en un MBA en la oferta de análisis de datos de la universidad? Respuesta: Depende totalmente de los criterios de elegibilidad de la universidad. Usted puede comprobar los requisitos de elegibilidad para saber más información sobre el examen requerido.P: ¿El programa de estudios de MBA en Análisis de Datos es el mismo en todas las universidades? Usted puede tener información en profundidad sobre el programa de estudios de la página web oficial de la universidad.  Otros cursos populares Ver másVer menosPreguntas relacionadas con el curso de MBA de análisis de datosAdmisión a MBA: ¿En qué mes comenzarán las admisiones para MBA?

big data and business analytics course

The Master in Big Data, co-developed with the multinational technology company Indra, provides a global vision of Big Data technologies and their use, as well as applied and practical training in analytical techniques for business (Business Analytics).

Our alumni of this master’s degree work in companies such as Minsait, Indra, Everis, Telefónica, BBVA, Pragsis Bidoop (now part of Accenture), EY, SDG Group, Deloitte, Banco Sabadell and Banco Santander, among others.

IMF offers the Agile Methodologies Course: Scrum Fundamentals.  Agile methodologies applied to project management are increasingly valued by companies and, within agile methodologies, probably the best known and used is Scrum. This system is highly appreciated for its ability to facilitate agility and at the same time avoid risks when launching a project in any organization. Students enrolled in any IMF Smart Education program can access this course with very advantageous conditions. Find out more!

business intelligence

The explosion of information associated with digitization has brought the importance of data to the forefront, making companies increasingly demand professional profiles equipped with the necessary skills to understand and extract all its value.

This master’s degree in data science, co-developed with the technology multinational Indra, is aimed at professionals from various fields who wish to acquire these skills from a perspective oriented to analytical and management profiles. It addresses the most relevant concepts, techniques and tools in data science, business analytics and big data to analyze and extract the full value of data.

It starts with the fundamentals of data science, learning what is necessary to be able to process, analyze and interpret all types of information sources, until reaching advanced analytics that includes the use of artificial intelligence techniques, especially those related to machine learning and deep learning. The most relevant technologies and tools of the current big data landscape are also discussed, always from a practical perspective that allows understanding their usefulness and what are the main applications that are currently being given to them in the business world.