Specialize your career in one of the most relevant profiles for companies, learning advanced technologies that will allow you to participate in the creation of high-impact products, such as social networks, streaming services or video games.
The Master in Data Engineering, Cloud & Big Data is designed to train the most sought-after professionals in the field of data engineering and cloud technology. In a world where data is the most valuable resource, the ability to manage, process and analyze large volumes of information has become a critical skill for companies in all sectors.
The Master in Connected Industry and Artificial Intelligence is promoted by the Ricardo Valle Institute Foundation for Innovation (Innova IRV) and organized by Fom Talent and MBIT DATA School, in collaboration with ESESA as a teacher and local partner.
We've created a unique experience for you to discover your passion for AI, data and technology.
Assess your current capabilities and access personalized guidance to guide you in choosing a suitable and effective program for your professional development.
Totally free and without obligation.
And if it convinces you...
Lesson Sessions
The sessions will be broadcast online via streaming. Attendance will weigh on the final grade, representing a percentage of the grade obtained. For the calculation of your
contribution to the above-mentioned qualification, the absolute minimum number of hours of attendance established by
academic directors to obtain the degree, fixed at 70% of the teaching hours of the program.
Special Sessions
In addition to online sessions, the program includes a series of face-to-face sessions, seminars and company visits, led by relevant experts and focused on collaborative work.
Evaluation
The methodology for evaluating students will be based on attendance and final group work/project, an individual evaluation of each module at the end of the module and the final work/project, which may be individual or in groups of up to a maximum of three students.
Final Project
Students must submit an individual or group project at the conclusion of the program. The academic directors will validate, if appropriate, the groups during the first third of the Program. The works will be defined on the basis of proposals from the teachers and the students themselves and short preliminary presentations of the projects will be required in the middle of the Program.
Become a developer specialized in modern software with complex data requirements that combine NoSQL technologies and streaming processes oriented to Microservice architectures and Cloud Computing infrastructures
Specialize in technologies to design and implement architectures and processes oriented to massive volumes in the most powerful cloud ecosystems such as AWS and MS Azure, with the technologies most sought after by companies such as Apache Spark, Databricks, Snowflake, Apache Kafka and many other relevant names in the Big Data ecosystem.
The best option for developers who are passionate about analytics and Artificial Intelligence and for companies that seek to make an impact with products based on Machine and Deep Learning. Discover the technologies needed to create innovative products that include all types of models.
Cada módulo lleva asociado un proyecto para consolidar lo aprendido. Siempre con casos enfocados en el mercado real y a la vanguardia tecnológica. Serás capaz de realizarlo de manera autónoma, y permitirá realizar un seguimiento de tu rendimiento en el programa.
El trabajo fin de Máster es la culminación del camino emprendido en este itinerario, pero su realización es continua a lo largo del programa gracias a los proyectos de consolidación y comienza al principio de la propia formación.Su entrega se compone de:Feria de ideasBusiness PitchMVP (Producto Mínimo Viable) y Memoria de trabajo.
Find out who will accompany you on your next course and where they are currently working.
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