Master’s Degree in Smart Industry
Study the Master’s in Smart Industry at Comillas ICAI in Madrid. Specialise in industrial AI, the Internet of Things (IoT), robotics and machine learning, with paid work placements.
What does the Master’s Degree in Smart Industry involve?
The Master’s Degree in Smart Industry (MUINT) at Comillas ICAI is an official, on-campus program worth 60 ECTS credits, taught in Madrid over one academic year. It trains engineers and STEM graduates in the key technologies of Industry 4.0 (machine learning, deep learning, generative AI, the Internet of Things (IoT), cloud computing, industrial cybersecurity and autonomous mobile robotics), enabling them to lead the digital transformation of industry. The programme includes paid work placements with companies, both in Spain and abroad, with personalised support.
Lead the digital transformation of industry.
Students who complete this programme will be natural leaders in the digital transformation of industry. Furthermore, the Master’s in Smart Industry provides personalised support to each student in securing their paid work placements with both national and international companies.
Unlike other Master’s programmes in Smart Industry, Comillas ICAI’s programme is backed by its own Chair in Smart Industry, involving companies from the sector, and uniquely combines AI technologies (machine learning, deep learning, generative AI), IoT, autonomous mobile robotics, industrial cybersecurity and cloud computing into a single one-year on-campus Program.
- CentersEngineering (Comillas ICAI)
- LanguagesEnglish
- CertificationOfficial master's degrees
- Duration1 year (60 ECTS)
- Starts On01/09/2027
- Seats45
Si necesitas más información puedes rellenar el siguiente formulario y recibirás información de este programa.
Find out about the programme
Key technologies of the Master’s in Smart Industry
The programme provides training in the technologies that are transforming the industrial sector:
- Industrial Machine Learning and Deep Learning: Machine learning algorithms and neural networks applied to fault prediction, predictive maintenance, quality control and the optimisation of production processes.
- Generative Artificial Intelligence: Generative AI tools applied to the design, simulation and automation of industrial tasks.
- Internet of Things (IoT): Sensor technology, connectivity and real-time data processing for the monitoring and control of industrial systems.
- Autonomous mobile robotics: Development and programming of autonomous robots for logistics, inspection and industrial operations.
- Industrial cloud computing: Cloud infrastructures for the storage, processing and deployment of digital solutions in production environments.
- Industrial cybersecurity: Protection of operational technology (OT) systems, industrial networks and IoT devices against cyber threats.
- Intelligent process automation: RPA, hyper-automation and process orchestration using artificial intelligence.
Specific training is provided on the new industrial context.
Curriculum
Study Plan
Master’s Degree in Smart Industry / MUII 26
COURSES DISTRIBUTION
1st Term
Credits
- Database Design
4.5 ECTS
- Deep Learning
6.0 ECTS
- Intelligent Factories
4.5 ECTS
- Internet of Things
4.5 ECTS
- Machine Learning
6.0 ECTS
- Reinforcement Learning
4.5 ECTS
2nd Term
Credits
- Cloud Computing
3.0 ECTS
- Cybersecurity
3.0 ECTS
- Deep Reinforcement Learning
3.0 ECTS
- Intelligent Industry Applications
3.0 ECTS
- LLM and AI Agents
3.0 ECTS
- ML Ops
3.0 ECTS
- Internship
6.0 ECTS
- Master’s Thesis
6.0 ECTS
Career prospects in Smart Industry
Smart Industry/Industry 4.0 Engineer
Engineer specialising in Artificial Intelligence applied to industry
Specialist in digital transformation within the industry
Industry 4.0 technology consultant
Engineer specialising in R&D and applied research in industry
Technical Manager for Industrial Innovation Projects
With this programme, you’ll be able to lead the digital transformation of the industry.
Work Experience
We prepare you for your future and introduce you to the real world through comprehensive work experience placements.
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International mobility programmes
This programme enables students to undertake international work placements to gain work experience abroad.
Admissions process
Follow all the steps in our admissions process and become a student at Comillas
Apply for admission
Please complete the form with your details and provide the supporting documents proving that you meet the entry requirements.
Validation
The General Secretariat will review the documentation and notify you once it has been approved.
Interview
Candidates will sit the entrance interviews.
Resolution
We will let you know if you have been accepted.
Enrolment
You will officially be a student at Comillas.
Financial information and scholarships
- 10 per cent discount for alumni.
- Paid work placements.
Registration
2.073,00€Monthly
1.653,60During
8 mesesTotal
15.301,80€
Faculty
Chair in Smart Industry
Our contribution to the digital transformation of Spanish industry.
The Higher Technical School of Engineering (Comillas ICAI), in collaboration with a group of leading industrial and technology companies, has deemed it appropriate to establish the Chair in Smart Industry, creating a dedicated platform from which to bring coherence to the research, developments, training initiatives and outreach activities that facilitate the digital transformation of Spanish industry.
Further information
Develop your career within large companies, learning every day alongside top professionals.
- Accenture
- Acerinox
- Amazon
- Antolin
- BCG
- Enagás
- Endesa
- EY
- Gestamp
- IBM
- Iberdrola
- Indra
- Kearney
- KPMG
- Management Solutions
- McKinsey & Company
- P&G
- PackBenefit
- PLADUR ® ALGÍSS®
- Prosegur
- Repsol
- SaarGummi Group
- Sener
- Técnicas Reunidas
- Tesla
ICAI Quotations
25 Alberto Aguilera Street.
The tradition of the Higher Technical School of Engineering (Comillas ICAI) in training engineers began in Madrid in 1908. Today, Comillas ICAI is a polytechnic university whose academic focus is on Industrial Engineering, Telecommunications Engineering, and Mathematics and Artificial Intelligence.
Quality and regulations
Related studies
- Engineering
- Official master's degrees
- English, Spanish
- 1 year (60 ECTS)
- Engineering
- Pending verification by ANECA - Official master's degrees
- Spanish
Frequently Asked Questions
Industry 4.0 refers to the fourth industrial revolution, characterised by the digitalisation and automation of production processes. Smart manufacturing goes one step further: it integrates artificial intelligence, real-time data analysis and the Internet of Things (IoT) so that industrial systems are capable of making autonomous decisions and adapting continuously.
Graduates can take up roles such as Digital Transformation Manager, Technical or Technology Director, Industrial Projects Manager, Industrial AI Consultant, or R&D&I Manager in companies within the industrial, energy, manufacturing or technology sectors.
The programme includes training in machine learning, deep learning, generative AI tools, computer vision and their direct application to industrial environments, combined with the Internet of Things (IoT), mobile robotics, cloud computing and industrial cybersecurity.
Prospective Students’ Office
C/ Alberto Aguilera, 21 - 28015 Madrid
Tel.: 91 540 61 32
Fax: 91 559 65 69
Email: futurosalumnos@comillas.edu
Check our opening hours.
Program managers:
MUIINT Director: Bernardo Villazán Gil
MUIINT Coordinators: Jaime Boal Martín-Larrauri
