https://www.upc.edu/en/masters/artificial-intelligence-for-connected-industries-ai4ci
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Master's degree in Artificial Intelligence for Connected Industries (AI4CI)
Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)
The master's degree in Artificial Intelligence for Connected Industries (AI4CI) aims to train professionals who are capable of understanding concepts in artificial intelligence, machine learning, data science and telecommunications engineering and applying them in the transition towards connected industry, with the aim of innovating and improving the communications networks used between the elements of an industrial plant.
- Duration and start date
- 2 academic years, 120 ECTS credits. Starting September
- Timetable and delivery
- Face-to-face
- Fees and grants
- Approximate fees for the master’s degree, excluding other costs (does not include non-teaching academic fees and issuing of the degree certificate):
€2,324 (€5,400 for non-EU residents ).
More information about fees and payment options
More information about grants and loans - Language of instruction
- English
Information on language use in the classroom and students’ language rights.
- Location
- Castelldefels School of Telecommunications and Aerospace Engineering
- Official degree
- Recorded in the Ministry of Education's degree register
- General requirements
- Academic requirements for admission to master's degrees
- Places
- 25
- Pre-enrolment
- Pre-enrolment for this master’s degree is currently closed. Use the “Request information” form to ask for information on upcoming pre-enrolment periods.
How to pre-enrol - Enrolment
- How to enrol
- Legalisation of foreign documents
- All documents issued in non-EU countries must be legalised and bear the corresponding apostille.
First semester
- Ict-Based Entrepreneurship 3
- Machine Learning 5
- Mobile Communications 5
- Network Security Authentication & Authorization 3
- Optimization Techniques 5
- Project on Ict-Based Business Models 3
- Advanced Python Programming 3
- Ai4ci Activities: from Research to Business 3
- Applications of Ai and Cyber-Threat Management 3
- Applied Artificial Intelligence 3
- Big Data Technologies for Connected Industries 3
- Communications for Precision Agriculture and Farming 3
- Control Systems Theory and Control Engineering 4
- Data Management and Digital Transformation in Industrial Process Automation 3
- Datacenter Design and Operations 4
- Ethics and Sovereignty of Digital Infrastructures 3
- Fpga Platforms: Programmable Embedded Systems 3
- Green Ai Computing for Connected Industries 3
- Integration of Virtual and Augmented Reality Technologies in Connected Industries 3
- Networks: Complements and Applications 6
- Next Generation Ieee 802.11 Standards 3
- Pattern Recognition and Deep Learning 6
- Programming and Communication of a Robotic Arm 3
- Reinforcement Learning 5
- Robot Operating Systems 3
- Robot Predictive Maintenance 3
- Smart Industry 4.0 Systems 3
- Sustainable Iot Architectures 3
- Wifi and 5G Convergence in 6g 3
Second semester
- Big Data & Data Mining 6
- Distributed and Federated Learning 3
- Network Science 5
- Seminars from Industry 3
Third semester
- Advanced Experimental Projects in Connected Systems 6
- Internet of Things and Ubiquitous IP 3
- Network Support for 5G 3
- Next- Generation Optical Network Infrastructures for Future Cloud-Based Services 3
- Software Engineering 5
Fourth semester
- Master's Thesis 30
- CompulsoryECTS
- OptionalECTS
- ProjectECTS
Professional opportunities
- Professional opportunities
- Data analysis.
- Communications engineering.
- Specialisation in industrial communications and Industry 4.0.
- Software engineering.
- Competencies
-
Generic competencies
Generic competencies are the skills that graduates acquire regardless of the specific course or field of study. The generic competencies established by the UPC are capacity for innovation and entrepreneurship, sustainability and social commitment, knowledge of a foreign language (preferably English), teamwork and proper use of information resources.
Specific competencies- Identify the characteristics and limitations of the most common mathematical and computational tools in the fields of artificial intelligence and data science.
- Identify related challenges and technological solutions that allow the development of new solutions in the field of communications networks and services, taking into account non-technical constraints (economic, regulatory, ethical, etc.).
- Integrate the values of sustainability and understand the complexity of systems so that visions of sustainable futures are generated.
- Address problems that require making autonomous, informed and reasoned decisions in order to act with social responsibility following ethical values and principles.
- Evaluate inequalities based on sex and gender to design solutions that take into account inclusion and equity.
- Generate innovation in new or existing business institutions and organisations through participation in creative projects.
- Execute a project related to the application of artificial intelligence in a connected industry.
- UPC school
- Castelldefels School of Telecommunications and Aerospace Engineering (EETAC)
- Academic coordinator
- Carles Gómez Montenegro
- Academic calendar
- General academic calendar for bachelor’s, master’s and doctoral degrees courses
- Academic regulations
- Academic regulations for master's degree courses at the UPC
Pre-enrolment
Pre-enrolment for this master’s degree is currently closed.
Use the “Request information” form to ask for information on upcoming pre-enrolment periods.