ICT ENGINEERING FOR SMART SOCIETIES Master - Uni4edu

ICT ENGINEERING FOR SMART SOCIETIES Master

Engineering Campus, Italy

4000 / years

Master's & Postgraduate24 months
Modern engineering campus of Politecnico di Torino with students walking between contemporary academic buildings, Turin cityscape with Alps in the background, bright autumn day
Master

Master of Science in ICT Engineering for Smart Societies

Politecnico di Torino

Information and Communication Technology Engineering

Duration2 Years
LanguageEnglish
FormatFull-time
Credits120 ECTS

Program Overview: ICT Engineering for Smart Societies

ICT Engineering for Smart Societies (ICTE4SS) is an interdisciplinary Master of Science degree at Politecnico di Torino designed to train engineers who will lead the smart revolution and shape the societies of the future. After learning core ICT topics such as artificial intelligence, machine learning, smart networks, and the Internet of Things, you will focus on key ICT applications for smart societies including energy, transport, building optimisation, smart health, and environment.

The program features an innovative teaching approach where an ICT expert and an application domain expert jointly serve as course instructors, ensuring you learn both domain-specific knowledge and related ICT tools. ICTE4SS employs a learning-by-doing approach in which you work on several projects developing problem definition and problem-solving skills throughout the curriculum.

Starting from the 2025/26 academic year, the program added Engineering to its title and updated most of its courses to reflect recent advances in machine learning and artificial intelligence. All courses are taught in English, creating an international environment that promotes cultural exchange and cooperation among students from diverse technical backgrounds.

Key Program Highlights

  • Interdisciplinary curriculum combining core ICT methodologies with real-world applications in health, energy, transport, smart buildings, and environment
  • Co-taught courses by paired ICT experts and application domain specialists ensuring both technical depth and practical relevance
  • Over 300 hours of hands-on lab activities covering machine learning, deep neural networks, smart networks, IoT programming, and sensor networks
  • Project-based learning approach with a dedicated 10 ECTS Interdisciplinary Projects course tackling real-world smart society challenges

Curriculum and Modules

The ICTE4SS curriculum is structured across two years with a multidisciplinary approach. In the first year, you learn the main ICT tools and methodologies, while the second year focuses on advanced applications, elective specialisations, interdisciplinary projects, and your master thesis or company internship.

Machine Learning and Neural Networks

10 ECTS

Covers the fundamentals of machine learning including classification and regression methods, and the basics of deep learning. Applications span user localisation, document classification, hyperspectral imaging, object tracking, and character recognition.

Machine Learning for Health

10 ECTS

Applies machine learning techniques to medical and diagnostic problems through image processing and data analysis. Topics include remote medical analysis using personal devices such as smartphones and ethical-scientific issues in patient care.

Advanced Machine Learning for Imaging and Vision

6 ECTS

Introduces advanced techniques in imaging and computer vision, including transformers and diffusion models. This newly introduced course reflects the latest developments in generative AI and deep learning for visual applications.

Smart Networks and Internet of Things

10 ECTS

Explores mobile and sensor networks, data transmission systems, and IoT architectures that underpin smart society applications. Includes hands-on lab work in programming for IoT and mobile sensor networks.

Smart Mobility and Energy Systems

10 ECTS

Covers how to extract useful information from raw mobility data, optimise mobility in smart cities, and use ICT for smart energy generation, transport, and distribution. Addresses reducing traffic congestion, pollution, and carbon emissions.

Interdisciplinary Projects

10 ECTS

A key project-based learning course where students work in teams to solve real-world problems across ICTE4SS application domains. Develops communication, leadership, creativity, and interpersonal skills alongside technical competencies.

Elective Courses and Specialisations

Smart Buildings and Digital Twins Satellite Systems and Navigation Technologies Stochastic Modelling and Optimisation Methods Big Data Analysis and Signal Processing

Admission Requirements

Admission to the ICTE4SS Master program is open to graduates from a range of engineering and science backgrounds. The program welcomes students from ICT and non-ICT bachelor programs, and the faculty works with admitted students to address any gaps in foundational knowledge through tailored study plans. Contact Uni4Edu for guidance on your eligibility and application process.

Academic Requirements

  • Academic QualificationBachelor's degree (minimum 3 years) in engineering, computer science, telecommunications, physics, mathematics, or a related technical field
  • Academic PerformanceCompetitive GPA required; applicants are evaluated based on their complete academic record including coursework, grades, and study plan
  • Technical BackgroundFoundational knowledge in mathematics, physics, and engineering principles; programming skills are beneficial
  • Supporting DocumentsOptional but recommended: GRE General Test scores, recommendation letters, motivation letter, and relevant work or internship experience
  • Application FeeEUR 50 non-refundable application fee

Language Requirements

  • IELTSMinimum band 5.0 (requirements may be updated; contact Uni4Edu for current thresholds)
  • TOEFL iBTMinimum score of 77 (requirements may be updated; contact Uni4Edu for current thresholds)
  • Cambridge EnglishCambridge ESOL examinations accepted; contact Uni4Edu for specific level requirements

Required Documents

Bachelor's degree certificate and official transcript of records Valid English language proficiency certificate (IELTS, TOEFL, or Cambridge) Statement of Validity (Dichiarazione di Valore) or CIMEA Statement of Comparability Valid passport or national ID document Curriculum Vitae and motivation letter

Application Deadlines

First Semester Enrolment
Second Semester Enrolment (EU and residents in Italy only)
International Track Applications

For personalized admission guidance, document verification, and application support, please contact Uni4Edu

Scholarships and Funding

Politecnico di Torino offers several funding opportunities for international students pursuing the ICTE4SS Master program. Financial support is available through university merit-based scholarships, regional funding from Piedmont, and external scholarship programs. Contact Uni4Edu for personalised guidance on available funding options.

Politecnico di Torino Merit-Based Scholarships

Merit-based scholarships awarded to outstanding international students based on academic performance and qualifications. These may include tuition fee reductions and living cost contributions.

EDISU Piemonte Regional Scholarships

Need-based scholarships provided by the Piedmont regional authority covering living expenses, accommodation, and meal subsidies for eligible students based on financial situation and academic merit.

Erasmus Mundus and International Mobility Grants

Funding available through European mobility programs for students participating in double degree programs or exchange semesters with partner universities across Europe and worldwide.

For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.

Career Prospects

Graduates of ICTE4SS are highly sought after in the job market, with ICT jobs increasingly required in both ICT and non-ICT sectors. According to official Almalaurea statistics, 96.2% of graduates are employed within the first year after graduation and 100% are employed after three years. The program's strong industry connections provide abundant internship and thesis opportunities with leading companies.

96.2% Employed Within 1 Year
100% Employed Within 3 Years
300+ Hours of Lab Activities

Potential Career Roles

ICT Solutions Architect for Smart Cities Machine Learning and AI Engineer IoT Systems Engineer Data Scientist and Analytics Specialist Smart Energy and Grid Systems Engineer Telecommunications and Network Engineer

Typical Employers

TIM (Telecom Italia) Vodafone Wind Tre Accenture Ericsson Enel

Rankings and Recognition

Politecnico di Torino is consistently ranked among the top technical universities in Europe and is recognised globally for excellence in engineering education and research. Founded in 1859, it is the oldest Italian public technical university and is home to approximately 35,000 students across its campuses.

QS World University Rankings
#242
2026
THE World University Rankings
401-500
2026
ARWU Shanghai Ranking
601-700
2025
QS Engineering and Technology
#53
2025
SubjectRanking BodyRank
Mechanical EngineeringQS Subject Rankings#28
Civil EngineeringQS Subject Rankings#33
ArchitectureQS Subject Rankings#21
Petroleum EngineeringQS Subject Rankings#22

How to Apply

Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.

1

Contact Uni4Edu

Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.

2

Prepare Your Documents

Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.

3

Submit Your Application

Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.

4

Receive Your Offer

Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.

Contact Uni4Edu

corporate@uni4edu.com
+90 5435286292
+44 7868736984
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