The Master's degree course in Computer Engineering for Immersive Technologies and Artificial Intelligence - Social and Immersive Robotics Curriculum (LM-32)* was created within the framework of the European project Virtual Innovation Consortium (VIC), which has been awarded the prestigious STEP (Strategic Technologies for Europe Platform) quality label by the European Commission.
This Curriculum addresses the growing demand for professionals able to work at the intersection of advanced robotics, artificial intelligence and XR (Extended Reality) technologies.
The specific objective is to train engineers capable of designing robotic systems that interact naturally with human beings and the environment, integrating social robotics with the potential of immersive spaces. The pathway explores methodologies for human-robot interaction, the programming of autonomous systems, and the use of virtual and augmented environments for robot simulation, training and control.
Teaching combines a solid theoretical foundation in artificial intelligence algorithms and control architectures with a strong applied component. Students will acquire skills in sensors, actuators, perceptual modules and Computer Vision techniques, all essential for enabling robots to understand the social and physical context in which they operate. Particular attention is paid to the ethical and social implications of introducing robotic and virtual agents into everyday and working life. The Course also fosters an entrepreneurial mindset through courses dedicated to start-ups and technology transfer.
Thanks to UNINT's innovative teaching formula, students can attend both in-presence and live-stream lectures through the UNINT Everywhere platform.
*Accreditation procedure currently in progress
This project has received funding from the European Union under the DIGITAL-2024-ADVANCED-DIGITAL-07-KEYCAPACITY programme. Grant agreement No. 101226225.
This page reflects the views only of the author, and the European Commission cannot be held responsible for any use that may be made of the information contained therein.
Professional profile and career opportunities
The pathway trains computer engineers specialising in immersive technologies and artificial intelligence, designers of social robot, and experts in immersive human-robot interaction; key professionals for Industry 5.0 and for personal-care services.
Upon completion of their studies, graduates will be able to:
- design and develop systems and applications for extended reality (XR), including adaptive environments driven by Artificial Intelligence;
- design, programme, and integrate robotic components, including social robots and perceptual modules;
- create advanced interfaces and multimodal interactive systems, optimising usability and user experience (UX);
- develop natural and safe interaction systems between human beings, intelligent machines and digital environments;
- use immersive simulation techniques (Digital Twins) for testing and validating robotic behaviours;
- apply artificial intelligence algorithms for robot navigation, perception and adaptation in unstructured environments;
- address ethical and regulatory aspects related to the use of robotics in social contexts.
The main career opportunities include research and development centres, companies specialising in immersive technologies and service robotics, the innovation industry, technology start-ups, and the healthcare and home-automation sectors. The Degree grants access to the State Examination for registration in the Register of Engineers (Section A, Information Engineering Sector).
Accreditation and Membership
UNINT is a partner of leading international academic associations that promote the adoption of quality standards of excellence in educational and scientific activities.
Due to its recognised quality requirements in language training, the Department of International Humanities and Social Sciences is among the four Italian members of CIUTI (Conférence Internationale Permanente d'Instituts Universitaires de Traducteurs et Interprètes) and its Master's degree course in Interpreting and Translation (LM-94) is part of the EMT network (European Master's in Translation) promoted by the European Commission. Moreover, UNINT is a member of AACSB – Business Education Alliance and has started the accreditation procedure for its Degree courses in the area of economics and business.
As part of the activities related to quality assurance, since 2021 UNINT has been certified in accordance with the regulation UNI EN ISO 9001: 2015On February 8, 2021, the first certificate was issued, confirmed for 2022 and 2023. In 2024, the new certificate was obtained and on January 30, 2026, the certification was confirmed for the year 2026. UNI EN ISO 9001: 2015 for "Teaching, training, research and third mission activities", attesting to the correct definition and execution of the processes implemented within the University.
Courses
The Master's degree course in Computer Engineering for Immersive Technologies and Artificial Intelligence – Social and Immersive Robotics Curriculum offers a vertical preparation ranging from hardware to high-level software:
- Fundamentals of robotic systems and Robot Programming, providing the basics of mechanics, kinematics and robot programming;
- Social Robotics and Human-Robot Interaction, focusing on the design of social behaviours and on user acceptance of robots;
- Artificial Intelligence and Computer Vision, equipping systems with the ability to perceive and understand the environment;
- Mixed Reality and Augmented Environments, enabling the creation of innovative control and supervision interfaces;
- Immersive simulation and Physics Engines, for modelling realistic physical scenarios in virtual environments;
- Cybersecurity in interactive systems, ensuring data and operational security in connected systems;
- Innovation and Technology Transfer, supporting the transformation of research outcomes into marketable products and services.
Digital skills and laboratories
The professional profile of the curriculum is supported by a strong practical component. Dedicated laboratories are provided to develop operational skills that can be applied immediately:
- Laboratory on Immersive Simulation and Physics Engines (8 ECTS): aimed at acquiring advanced physical-simulation techniques applied to the design and development of interactive and realistic virtual worlds;
- Laboratory on Immersive Robotics (4 ECTS): focused on the practical experimentation of immersive and multimodal interaction strategies with robotic systems, with particular attention to collaborative and application‑oriented scenarios.
Language training and certifications
The Course has a strong international dimension. Some core courses are delivered entirely in English, enabling students to acquire the technical vocabulary required to operate in global contexts. The curriculum also includes the compulsory course English for Engineering and ICT (8 ECTS), aimed at strenghtening linguistic skills from level B1 to level B2, with specific reference to the technical and scientific terminology of computer engineering.
To find out the entry and exit levels of each language course in accordance with the Common European Framework of Reference for Languages (CEFR), visit the following link.
The University Language Centre grants new students enrolled for the 2026/2027 academic year (Bachelor’s or Master's degree courses in any of the Degree courses offered by the University) the opportunity to take an international certification examination , at no additional cost, choosing from among the certifications offered through the University’s partnership agreements.
Curriculum
2026/2027 academic year
This page contains information about programmes for students who intend to start their academic career in autumn 2026. The information is up to date at the date of publication, although some changes may be necessary.
You can consult the complete teaching programmes for the last two academic semesters.
Potential variations in the programmes are determined by the University's attention to the developments in the subjects studied and the dynamic needs of the labour market.
ECTS
1st year
ECTS
Fundamentals of robotic systems
The course introduces the fundamental principles of robotic systems, examining the structure, perception, movement and control that underpin the functioning of modern robots. Through the study of mechanical, sensory and computational components, students develop the skills needed to understand operational autonomy, motion planning and robotic architectures, gaining a critical perspective on industrial and service applications and on the design principles that drive the development of contemporary robotic systems.
8
Fundamentals of artificial intelligence in immersive systems
The course introduces the fundamental concepts of artificial intelligence and their applications within immersive systems, examining the functioning of intelligent agents, key machine learning techniques and adaptive solutions used in XR. Through the analysis of models for the recognition, personalisation and the dynamic behaviour of virtual environments, students develop an integrated understanding of the AI technologies that underpin immersive interaction and acquire the tools needed to assess their opportunities, limitations and design implications.
8
Cybersecurity in advanced interactive systems
The course explores the fundamental principles of cybersecurity as applied to advanced interactive systems, analysing vulnerabilities, risks and ethical hacking methodologies in modern digital environments, including those based on AI and immersive technologies. Through the study of major attack techniques, risk-management models and protection strategies, students develop the skills to assess threats, interpret complex scenarios and propose effective solutions for the security of contemporary information systems.
8
English for Engineering and ICT (taught in English)
The course develops the language skills required to use English in engineering, computer science and ICT contexts, with a focus on technical and scientific termonology and the main communicative conventions of professional and academic texts. Through the analysis of specialised materials and oral and written production activities, students acquire the tools needed to understand, interpret, and describe processes, systems, and technologies clearly and appropriately.
8
Laboratory on Immersive Simulation and Physics Engines
The laboratory introduces the principles and techniques of immersive simulation, guiding students in developing the skills needed to model the physical behaviour of objects and to use major physics engines within interactive environments. Through practical activities and prototype development, the course enables students to integrate visual elements, physical dynamics and interactions, strengthening their ability to design coherent immersive experiences and to apply simulation models in realistic contexts and digital‑twin scenarios.
8
Hardware for immersive and embedded systems
The course examines the main hardware components used in immersive and embedded systems, offering an integrated overview of electronic architectures, sensors, actuators and computing platforms that underpin modern XR, IoT and wearable devices. Through the analysis of operating principles and design choices, students develop the ability to interpret performance, power consumption, reliability and component‑integration processes, acquiring skills that are essential for the design and evaluation of hardware systems for interactive and immersive applications.
6
1st year
1 free-choice course
Robot programming
The course introduces the fundamental principles of robotic programming, examining control models, motion structures and sensory‑integration techniques that enable robots to perceive their environment and generate autonomous behaviours. Through the study of the languages, frameworks and software architectures used in modern robotics, students develop the skills to design, implement and evaluate robotic control solutions, critically interpreting design choices and their applications across different operational contexts.
6
Cognitive psychology and communication strategies
The course explores the main processes of cognitive psychology — perception, attention, memory, learning and decision‑making — and applies them to the design of communication and user experience in digital and immersive systems. By analysing the cognitive factors that influence interaction, engagement and behaviour in XR environments and virtual worlds, students develop the skills to design clear, effective and inclusive communication, gaining an understanding of the cognitive and motivational implications of emerging technologies.
6
Decision theory
The course explores the principles of decision theory, providing logical and mathematical tools for analysing choices under conditions of certainty, risk and uncertainty, as well as the strategic dynamics studied in game theory. Through expected‑utility models, competitive equilibria and multi‑agent scenarios, students develop the skills to interpret and predict decision‑making behaviour in complex contexts, with applications ranging from cybersecurity to robotics and intelligent systems.
6
2nd year
Mixed reality and advanced interfaces
The course explores the theoretical and applied foundations of mixed reality and advanced interfaces, analysing the technologies, integration models between the physical and digital worlds, and multimodal interaction methods based on tracking, gestures and sensor fusion. Through the study of hardware and software architectures and the design choices that influence the quality and effectiveness of the experience, students develop the skills needed to design, evaluate and understand complex MR solutions, applicable in professional, industrial, educational and creative contexts.
8
Ethics and technology regulation
The course examines the main ethical, legal and regulatory issues associated with emerging technologies, analysing topics such as responsibility, the protection of rights, data governance and social impact in digital, automated and immersive contexts. Through the study of national and European regulatory frameworks and the discussion of the challenges posed by innovation, students develop a critical understanding of the implications of design choices and acquire the skills needed to interpret and assess real‑world scenarios in a responsible and informed manner.
6
Human–computer interaction & usability
The course explores the principles of human–computer interaction and usability, offering an integrated understanding of user‑centred design and of the methodologies used to analyse and improve the user experience in digital systems. Through the study of cognitive models, evaluation tools and inclusive‑design practices, students develop the skills needed to design effective, accessible and adaptive interfaces, including in immersive and AI‑driven contexts.
6
AI-Driven Adaptive Environments
The course examines the principles and technologies of adaptive systems based on artificial intelligence, analysing models of perception, decision‑making and control that enable digital and mixed environments to change dynamically in response to context and user behaviour. Through the study of machine‑learning techniques, optimisation strategies and architectures for intelligent spaces and multi‑agent systems, students develop the skills to evaluate, design and interpret adaptive solutions, understanding their application potential and ethical implications.
8
Startups, Innovation and Technology Transfer (taught in English)
The course examines the processes underlying the creation and development of innovative start‑ups, analysing innovation models, value‑creation strategies and the mechanisms of technology transfer between research, industry and the market. Through the study of the economic, financial and organisational dynamics that characterise technological‑entrepreneurship ecosystems, students develop the skills to interpret real cases, design entrepreneurial initiatives and critically assess the opportunities, risks and strategic implications of innovation activities.
6
Social robotics
The course examines the principles and methodologies underlying the design and programming of social robots, analysing perceptual, cognitive and behavioural models that enable robotic agents to interact naturally with human beings. Through applied studies and project‑based activities, students develop the skills to define interactive behaviours, assess ethical implications, and interpret the opportunities and limitations of employing robots in educational, care and collaborative contexts.
6
Free-choice ECTS
Student's free-choice courses
Recommended:
Human robot interaction and augmented environments
Recommended:
Human robot interaction and augmented environments
he course introduces the fundamental principles of human–robot interaction and augmented environments, examining the perceptual, communicative and design modalities that enable natural interaction with robots and XR systems. Through applied examples and use cases in the educational, care and industrial sectors, students develop a critical understanding of the technical, social and ethical dynamics that characterise these systems, acquiring the skills needed to assess their impact and design coherent and accessible interactions.
6
Other activities
Internship or
Immersive Robotics Lab
Immersive Robotics Lab
Immersive Robotics Lab
The lab introduces the fundamentals of immersive robotics, exploring the integration of robotic systems and virtual or augmented environments for human-machine interaction. Through hands-on activities and project completion, students acquire operational skills in designing and experimenting with immersive scenarios, developing a critical understanding of technological solutions and their applications.
4
Laboratory on Computer Vision or
Leadership (2 ECTS) and Team building (2 ECTS)
Leadership (2 ECTS) and Team building (2 ECTS)
Computer Vision Laboratory
The laboratory introduces the fundamental principles of computer vision, guiding students in the analysis and processing of digital images through techniques such as recognition, feature extraction, segmentation and object detection. Through practical exercises and the use of dedicated libraries, students develop operational skills and a critical ability to apply and evaluate visual solutions across a range of professional contexts.
Leadership
The course develops leadership skills, focusing on management strategies, decision-making skills and effective communication, with the aim of training resilient and influential leaders.
Team building
The course aims to enhance students' collaboration and communication skills, focusing on practical activities to develop effective group dynamics, leadership and resilience.
4
Final test
12
Curriculum Compilation Guide
At the beginning of the academic year, the University organises dedicated sessions to guide students through the completion of their curricula. During these sessions, which involve faculty, the Orientation Office, and the Student Secretariat, studetns receive technical instructions on how to complete their curriculum, as well as general information regarding the training offer and the awarding of credits.
Study Abroad Experiences and Internships
Given the University's strong international outlook, UNINT's Degree courses offer students the opportunity to spend a period abroad for study or internship purposes, thanks to a network of over 100 international agreements with European and non-European universities. The University also has around 700 active agreements for internships and work placements with public and private institutions in Italy and abroad.
Students will also be able to take advantage of the VIC partnership network to undertake study periods abroad at partner universities, as well as training internships in research centres and companies.
Admission requirements and verification of initial preparation
Graduates in classes L-8 (Information Engineering), L-9 (Industrial Engineering), L-30 (Physical Sciences and Technologies), L-31 (Computer Sciences and Technologies), L-35 Mathematical Sciences, L-41 (Statistics) or in the corresponding classes pursuant to Ministerial Decree 509/99 can enrol in the Master's degree course.
Graduates in other classes must have acquired, before completing enrolment, even through individual courses, at least 6 ECTS in the disciplinary sectors SECS-S/01, SECS-S/02 or SECS-S/06 and MAT/*, at least 18 ECTS in the disciplinary sectors INF/01 and ING-INF/05 and at least 36 ECTS in one or more of the following disciplinary sectors: ING-INF/*; INF/01; ING-IND/*; FIS/*; SECS-S/*; SECS-P/07; SECS-P/08; SECS-P/11.
In order to satisfy the required curricular requirements, Università degli Studi Internazionali di Roma – UNINT will be able to activate and offer individual courses in the indicated disciplinary sectors, aimed at acquiring the necessary credits, to be obtained before completing enrolment.
For enrolment purposes, an interview with a committee of lecturers from the Course is required in order to assess the applicant’s individual preparation and the adequacy of their curricular requirements.
The initial preparation test is aimed at verifying possession of the following knowledge:
- basic knowledge of computer science and mathematics;
- basic knowledge of algorithms, programming languages and computer-system architectures;
- knowledge of the English language at least at B1 level.
For the 2026/2027 academic year the interviews will take place remotely on the following dates:
- 16 February 2026 | 11:00 am
- 7 May 2026 | 11:00 am
- 16 July 2026 | 11:00 am
- September 17 | 11:00 pm
- 15 October 2026 | 11:00 am
- 29 October 2026 | 11:00 am
Tuition fee, scholarships and financial aids
Università degli Studi Internazionali di Roma - UNINT provides for a banded tuition fee system that rewards scholastic and university merit as well as scholarships linked to talent and social and civil commitment for high school graduates, students about to graduate and graduates.
To find out about the tuition fees, scholarships and financial aids.
Furthermore, students wishing to enrol can, as would be the case by enrolling at a State University, access the ‘Right to Study’ Call for Applications, through which DiSCo (regional body for the right to education and knowledge) and Regione Lazio provide benefits and services to university students to guarantee the right to study in accordance with Article 34 of the Italian Constitution, which enshrines the principle of equal educational opportunities.
By participating in the call for applications, it is possible to access scholarships and receive financial support to cover university costs.
The services offered also include accommodation in student residences, and subsidised access to the canteen with meals at reduced costs. International mobility grants are also provided to support students during periods of study or internship abroad, thus facilitating international educational experiences.
The call for application is published every year on the website http://www.laziodisco.it/.
For further information, please consult the Valid identity document and contact the relevant office whose contact details are given below.
Contacts Right to study
Sonia Fronte
Monday, Tuesday and Thursday from 9:00 am to 1:00 pm and from 2:30 pm to 3:30 pm
Wednesday and Friday from 9:00 am to 1:00 pm
E-mail: dirittoallostudio@unint.eu
Tel (+39) 06.510.777.296
UNINT Accommodation agreements
Università degli Studi Internazionali di Roma – UNINT has entered into agreements with various residential facilities and specialised platforms in order to facilitate students' access to housing solutions at advantageous conditions.
Detailed information on affiliated facilities and benefits are available in the dedicated section on the University's website.
Course of Study Steering Committee
The Steering Committee is responsible for guiding the activities of the Course, ensuring that the training pathway remains aligned with labour‑market needs. The committee includes among its members:
- Alessandro De Nisco, Director of UNINT Department of International Humanities and Social Sciences
- Marco Romano, President of the Degree course
- Teresa Onorati, Universidad Carlos III de Madrid and deputy director of the Cátedra Telefónica “Women Tech”
- Michele Fiorini, Chief Technology Officer, Leonardo Electronics, Leonardo SpA
- Gabriele Randelli, Google Cloud, AI Customer Engineer at Google
- Michele Nava, Order of Engineers of Rome
