Transform your career and your industry thanks to Data Science, becoming an expert in advanced analytics, visualization and the latest technological trends.
The Master in Data Science, Machine Learning & Strategic Analysis is designed to train the most competent professionals in advanced data analysis and the strategic application of artificial intelligence. In a world driven by data, the ability to extract valuable insights and make informed decisions is essential for any organization that aspires to lead in its sector.
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.
Enter the world of analytics-oriented programming and visualization with Python and associated technologies such as Jupyter, pandas or Matplotlib
Create powerful predictive models using Machine Learning techniques in the ecosystem Python
Create powerful dashboards with MS PowerBI and visual web applications with Streamlit
Introduction to SQL and tools Big Data to work on enterprise data architectures of any type
Learn to obtain and work with all types of data and sources by manipulating APIs or carrying out processes of Web Scraping
Discover the synergy between cloud technologies and Data Science with internships in AWS using computer services and cognitive models
Methodologies for managing Agile projects focused on Data Science
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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