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Become a leader in digital transformation, mastering Industry 4.0 and Artificial Intelligence technologies to boost innovation and competitiveness in any business sector.
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We have been training students in advanced technologies, artificial intelligence and applied data for more than 10 years, always highlighting our practical and close approach to the student. Their excellent reviews of our educational program reflect the positive impact MBIT School has had on their professional careers.
Finalizar el Master en Big Data y Analytics ha sido una de las experiencias más transformadoras de mi carrera. Muchas gracias MBIT por darme las herramientas técnicas y estratégicas para liderar en este mundo complejo y también por ayudarme a aprender a tomar decisiones basadas en análisis profundo y a impulsar el crecimiento de cualquier organización en un entorno cada día más disruptivo. Gran calidad del programa, con excelentes profesores con enfoque práctico que ayudan a conectar la teoría con los datos reales del mercado.
Alicia Henares Cobo
Directora de Aplicaciones y Sistemas
I started the People Analytics program at MBIT out of curiosity about the world of data. I wanted to know more, not only about how data could help me in my daily life, but also to improve my technical knowledge, use data analytics tools, and understand how data science works. But I didn't want a program that was only technical or remote from HR, where I work. It was quite a success, it is a very complete program, with teachers who are experts in different subjects, with a clear orientation to teaching and creating value for the student. Working through use cases very similar to those you may face in your day helped me a lot to bring the program to my professional reality.
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Belén Foncillas
HR Program Manager
Undertaking the Expert Program in People Analytics at MBIT has been a transformative experience in my professional career. Thanks to an exhaustive and well-structured program, taught by active experts, I have acquired the necessary knowledge to solve real problems in Human Resources and to contribute effectively to strategic decision-making based on data in my organization.
Ricardo Escobar Jaén
HR Data Analyst
The personal service and the closeness that exists in this school cannot be found in any other school. I loved the teaching staff themselves because many of them explain the subject to you and also show on the projector the artificial intelligence of the company where they work. They teach you how they manage it on a daily basis and let us interact with them. Then you really see that it is being applied in some companies at a very high level. The networking that takes place at school also helps you to connect better with the point of view of other profiles and generate closer relationships. For me, Mbit School is strategy, family and discovery.
Agustín Pozo
Digital Transformation Global Lead
I think that AI is going to change many aspects of our lives and I wanted to go a little deeper into what that opportunity means. MBIT School has a real and direct approach. It is a school that is very focused on data and very practical. MBIT would define it in two concepts: present and future.
Pedro Prieto
Director of Innovation
I'm already working in a position related to a data department, which is what I wanted, so the master's degree has served as a gateway for me; I'm very happy.
Juan Castallo
Advisory
For me, the main achievement has been to get an overview of everything that the subject of Data Science encompasses and to be able to understand how a Data Scientist works and how projects have an end to end that at first seems easy but that there is a lot of work behind it until the model is obtained.
Nuria Espadas Alonso
Head of Digital Sales
I followed some of the teachers through the MBIT webinars; I found everything they explained very interesting and seeing that they were part of this master's degree I threw myself head over heels. Now I'm starting conversations with my boss to apply all this knowledge to my work, let's hope it comes to fruition.
Josep Velasco
Environmental Engineer
I chose MBIT because I was referred to it by co-workers with a lot of technical knowledge, and they were absolutely right. I wouldn't have thought that I would dedicate myself to programming at the beginning of the master's degree, now I know that it's possible. The school has opened a lot of windows of curiosity for me, and it is very likely that I will dedicate myself to this.
Paloma López Rojo
Regional Category Manager WEMEA & LAM FM, Real Estate & MRO
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.
Onsite + Online
You don't need to have previous technical knowledge, although the program is aimed at professionals with concern and desire to solve business problems with data and applying digital enabling technologies.
You will acquire the necessary competencies and capacities to address the process of digital transformation of companies towards Data+AI Driven organizations, which take advantage of the competitive advantage of AI and other enabling technologies and have decision systems based on data and rigorous analysis.
In our master's degree, you will learn in depth about the main enabling technologies used today in the industry and you will learn to apply Big Data and Artificial Intelligence tools to successfully face and execute the transformation of your organization, regardless of the sector, placing it at a clear competitive advantage.
You will acquire the necessary competencies and capacities to address the process of digital transformation of companies towards Data+AI Driven organizations, which take advantage of the competitive advantage of AI and other enabling technologies and have decision systems based on data and rigorous analysis.
In our master's degree, you will learn in depth about the main enabling technologies used today in the industry and you will learn to apply Big Data and Artificial Intelligence tools to successfully face and execute the transformation of your organization, regardless of the sector, placing it at a clear competitive advantage.
The future of the industry lies in collaboration and digitalization. There is a great need for professionals who master the Connected Industry, capable of developing a 4.0 ecosystem to reinvent processes and apply emerging technologies. You will be a pioneer in implementing innovative solutions, leading companies towards a new era of efficiency and adaptability in the industrial sector.
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.
“If you have any questions, you can contact us and we will guide you in a personalized way to find the training course that best suits you”
Counselor | Admissions | MBIT School
Week 01 (8 hours - IN PERSON): Opening session.
- Presentation of the objectives and contents of the program.
- Establishment of expectations.
- Identification of the main benefits to be extracted from the program.
- Real examples of success stories in the Connected Industry and Artificial Intelligence.
Internet of Things and sensor networks.
Bases and applications of the Internet of Things (IoT) and how sensor networks are revolutionizing the industry, allowing unprecedented connectivity and data collection.
Cyberphysical systems: PLC, SCADA, MES.
Cyberphysical systems used in modern industry and their essential role in automation and control.
Artificial vision.
Technologies of artificial vision and how they are transforming industrial processes, from quality inspection to task automation.
Industrial cybersecurity.
Cybersecurity and discussion about its importance in the industrial environment and how to ensure the protection of data and systems in the digital age.
Collaborative robotics, AGV and drones.
Advanced robotics in the industry, including collaborative robots, automated guided vehicles AGV and drones, and how they are revolutionizing production processes.
Augmented reality and virtual reality.
Technologies of RA and RV in the industry for training, design and other uses.
Blockchain.
Tech blockchain and its potential to transform the supply chain and other industrial processes.
Disruptive factors of Big Data and AI technology.
Discussion about how Big Data And IA are radically changing the industry and the key factors behind this revolution.
Big Data and Mass Processing.
Technologies and tools used for mass data processing and how these allow for deeper analysis and informed, fast and accurate decisions in the industry.
Data architectures and the cloud.
Exploring modern data architectures and how cloud solutions are facilitating the storage, processing and analysis of large data sets.
No Code and Low Code Systems in Data Science.
Analysis of these solutions, which are allowing a faster and wider adoption of solutions of Data Science in the industry.
Self-service Analytics and Data-Driven Companies.
Self-service data visualization and analysis tools, which empower companies to make decisions based on data and make informed decisions.
Data Science and Machine Learning I.
Key concepts and applications of Data Science and Machine Learning in the industry.
Data Science and Machine Learning II.
Continuation of the study on advanced techniques and applications in the industry using Data Science and Machine Learning. Unsupervised learning and clustering for pattern identification, alarm and anti-fraud systems.
Data Science and Machine Learning III.
Unsupervised learning algorithms for prediction and classification. Completion of the block with an in-depth exploration of specific use cases and industrial applications of DData Science and Machine Learning.
Artificial Intelligence I.
Artificial Intelligence and how it is transforming the industry with advanced automation and analysis solutions. Del Machine Learning Al Deep Learning: evolution of the algorithms of Neural Networks
Artificial Intelligence II.
Continuation of the study on AI, focusing on advanced techniques and specific applications in industrial contexts. Reinforcement Learning and Generative Artificial Intelligence.
Introduction to Operations.
Overview of operations in modern industry and how connectivity is transforming every aspect of production.
From Lean Manufacturing to Industry 4.0.
Transition from traditional production concepts, such as Lean Manufacturing, towards the modern Industry 4.0 and its implications.
Predictive maintenance.
Definition of predictive maintenance and examples of how data analysis and connected solutions are allowing for more efficient and predictive maintenance in the industry.
From transparency to intelligence.
Exploration of how data solutions are taking the industry from simply having transparency in its operations to making intelligent decisions based on data.
Diagnostics and road map in industry 4.0.
Study on how to diagnose the current state of a company in terms of Industry 4.0 and how to establish a roadmap for digital transformation.
IT/OT.
Convergence of IT and OT in the industry and how collaboration between both areas is leading to total traceability in areas such as logistics.
Comprehensive supply chain management.
Current geopolitics requires the use of all available data and the information generated to plan and make appropriate decisions in supply logistics and the supply chain.
Digital twin.
Concept of digital twin and how this technology is allowing for advanced simulations and analysis in the industry.
Personal communication. Narrative for Business.
Workshop on how to improve personal communication skills, with a focus on effective narratives for business presentations.
Innovation and Creativity.
Techniques and tools to promote innovation and creativity in the design of industrial products and solutions, including their public funding and industrial property.
Connected product design.
How to design products that take advantage of modern technologies of IoT and data analysis.
Digital transformation and new businesses. Business Plan.
How to bring digital transformation to the creation of new business models and how to develop an effective business plan.
Talent Management 4.0.
Analysis of how companies can manage and develop talent in the era of Industry 4.0.
Find out who will accompany you on your next course and where they are currently working.
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If you don't find what you're looking for, contact us and we'll answer any questions you may have.
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