Computer Science

Short Master in Industrial IoT

🎓 Politecnico di Bari  ·  📍 Bari

Overview

The First-Level Short Master in Industrial IoT at the Polytechnic University of Bari, organised by the Department of Electrical and Information Engineering, is an intensive 100-hour programme held in person in Bari, in Italian. It covers smart sensing, advanced connectivity, data collection and analysis, systems integration and cybersecurity in industrial networks, with practical exercises and case studies.

It trains technical professionals specialised in industrial digital transformation, for process engineering, industrial consulting and companies engaged in digitalisation and Industry 4.0. It is open to first- and second-level graduates. It is an opportunity for technicians and graduates who want to enter the world of connected industry.

Key features

Duration100 hours (duration in months not specified)
Mode of studyIn person (Bari)
LanguageItalian
CostContact the university
Start dateTo inquire with the un…
LocationBari

Admissions

Admission is reserved for holders of a specialist degree, a master's degree, a first-level degree or an equivalent foreign qualification. The page does not report the number of places, the enrolment deadlines or the cost, which should be checked in the call for applications of the Polytechnic University of Bari before applying.

The course comprises 100 hours of intensive teaching and takes place in person in Bari at the Department of Electrical and Information Engineering; the language of instruction is Italian. No credits, internship, duration in months or start date are indicated. To find out the selection procedures and financial conditions, it is advisable to refer to the university's official communications.

Curriculum

The short master addresses the technologies that enable companies to connect machines, plants and processes, turning data into value. The content includes smart sensing, advanced connectivity, data collection and analysis, systems integration and cybersecurity in industrial networks. These areas form the basis of the Industrial Internet of Things, a paradigm that makes it possible to monitor production lines in real time, to predict failures and to optimise consumption and performance. Students learn how the data collected by sensors and machines can be transmitted, stored and analysed to support decisions, predictive maintenance and process improvement, and what precautions to take to protect networks and systems from unauthorised access.

Teaching is structured in 100 hours of intensive training, with a practical approach based on exercises and case studies. The programme takes place in person in Bari, at the Department of Electrical and Information Engineering of the Polytechnic University, and is taught in Italian. The page does not specify the division into modules, the presence of an internship, the number of credits, the duration in months or the start date, aspects to be checked in the call for applications. The short and concentrated nature of the course makes it suitable for professionals who wish to update their skills in a short time, but also for recent graduates who intend to complete their education with specific skills in industrial digitalisation. The practical exercises make it possible to apply concepts to realistic scenarios, becoming familiar with network architectures, data analysis tools and security issues that characterise connected production environments. The case studies make it possible to observe solutions already adopted in companies and to discuss their advantages and limits, developing a critical eye useful for choosing the most suitable technologies according to goals and available resources.

The aim is to train technical professionals specialised in managing industrial digital transformation, able to contribute to the adoption of IoT solutions in companies. Job opportunities concern process engineering, industrial consulting and companies investing in digitalisation and Industry 4.0. The programme is aimed at graduates in engineering, computer science and related technical disciplines who want to gain an integrated view of the enabling technologies of connected industry and develop skills that can be used in manufacturing, energy and logistics contexts, where data collection and analysis are now central to competitiveness. The programme is useful for those working in manufacturing companies, consulting firms or technology companies who wish to strengthen their ability to lead digitalisation projects for production processes.

Info and enrolment

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The information provided may be subject to change. For up-to-date information, we recommend contacting the institution directly.

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