First-level University Master’s Programme · First edition · Academic Year 2026/2027
Turn your degree into skills sought by the labour market: learn to manage geodata, use GIS and surveying tools, and apply artificial intelligence to territorial challenges.
Programme overview
GeoAI, or Geospatial Artificial Intelligence, integrates artificial intelligence, machine learning, geographic information systems and geospatial data. The Master di primo livello in GeoAI, GIS e Applicazioni Geospaziali (first-level University Master’s Programme in GeoAI, GIS and Geospatial Applications) is intended for bachelor’s graduates, professionals and technicians seeking progressive skills in the management, analysis, acquisition and interpretation of territorial data.
The curriculum guides students from GIS fundamentals to the application of advanced GeoAI tools and the analysis of real cases. Its four-module structure makes the educational offer clear, distinguishes the successive learning levels and emphasises the programme’s applied and technical components.
The GeoAI Master’s Programme builds on the Department of Science’s many years of experience in postgraduate education in GIS and technologies for territorial analysis. The programme has been reorganised as a Master di I livello (first-level University Master’s Programme), open to bachelor’s and master’s graduates, with the aim of providing a progressive, clear and professionally oriented learning path.
The curriculum comprises four teaching modules.
This introductory module establishes the shared language required by all participants. It covers the fundamentals of digital cartography, geospatial data management, leading GIS software, geodatabases and cartographic representation tools.
This module explores GIS as a technical and methodological environment for professional territorial analysis. It includes advanced spatial analysis, Python programming for GIS, workflow automation, interoperable geospatial services and data quality.
This module introduces the principles of artificial intelligence applied to geospatial data. It covers machine learning, deep learning, satellite imagery analysis, GeoAI, prompting and applied laboratories using AI models in GIS environments.
This final module integrates and applies the knowledge acquired. It covers tools for territorial data acquisition and monitoring—drones, GPS/GNSS, IoT sensors and laser scanners—and applied case studies in environment, risk, planning, infrastructure and cultural heritage. Theory is translated into practical cases and operational scenarios.
The programme trains professionals to organise and analyse geodata, use commercial and open-source GIS tools, programme and automate processes, integrate data from sensors and surveys, and apply GeoAI tools to real decision-support problems.
Skills developed
Curriculum
The Master di I livello in GeoAI, GIS e Applicazioni Geospaziali is organised into four teaching modules, for a total of 60 CFU including the final examination. The curriculum progressively guides students from GIS fundamentals to the integrated application of GeoAI tools in real settings. It provides 312 hours of lectures and laboratory teaching.
Learning objective: provide the fundamental skills required to understand, manage and represent geographic data, establishing a common foundation for students from different disciplinary backgrounds.
Learning objective: develop specialist skills in spatial analysis, programming in GIS environments and the automation of territorial data-processing workflows.
Learning objective: introduce the principles of artificial intelligence applied to geodata and develop theoretical and practical skills in the use of GeoAI within GIS environments.
Learning objective: consolidate learning through the use of territorial data-acquisition and monitoring tools and through case studies that apply the theoretical knowledge developed during the programme.
Professional relationships
The programme helps students connect with companies, public bodies and research institutions in the GeoAI network. These relationships may foster dialogue, mutual knowledge and professional collaboration, depending on the interest of the organisations involved, but they do not constitute internships or placements included in the official programme.
An opportunity to meet companies, public bodies and institutions working in GIS, GeoAI, territorial monitoring and geospatial innovation, and to engage with real experiences, technologies and challenges.
Discover companies and organisations in the network →Admissions
Application deadline: 15 January 2027. Applications must be submitted through GOMP. Applicants are asked to notify mastergeoai@uniroma3.it once their application has been submitted. Late applications may be assessed individually.
The programme is open to holders of a bachelor’s or master’s degree, or an equivalent qualification, in subject areas consistent with its profile, including: Archaeology; Architecture; Biology; Conservation of Cultural Heritage; Geography; Environmental and Territorial Engineering; Humanities; Territorial and Urban Planning; Economics; Natural Sciences; Agricultural Science and Technology; Agricultural Sciences; Environmental Sciences; Forestry; Geological Sciences (or Earth Sciences); Tourism Sciences; History and Conservation of Cultural Heritage; Historical Sciences; and Urban Planning.
The Programme Board may consider qualifications other than those listed above. Basic knowledge of GIS and relevant IT certifications are preferred qualifications.
Admission, up to the stated maximum number of places, is subject to a ranking prepared by a committee comprising the Programme Director and at least two members of the Programme Board, based on the applicants’ academic record, professional and research experience, and submitted documentation.
Credits earned in previous university studies cannot be recognised for the purpose of reducing the programme requirements or tuition fees.
Tuition fees and possible exemptions
Due by 30 January 2027. The fixed stamp duty and diploma issuance fee are added to this amount.
Due by 15 June 2027.
The reductions referred to in points 3 and 4 cannot be combined.
Career opportunities
The programme continues the Department’s previous educational experience in geoinformation and is connected with companies, public bodies and research institutions through agreements and scientific collaborations.
The programme is also intended for practising professionals seeking to update or redirect their skills in GIS and artificial intelligence applied to territories.
Learning will be assessed throughout the programme through exercises and interim assessments.
At the end of the programme, students must write and defend a dissertation, in Italian or English, on a project agreed with at least one Roma Tre academic teaching on the programme. Attendance at a minimum of two thirds of the classes is required for admission to the final examination.
Governance and teaching staff
The teaching staff combines Roma Tre academics, external experts and professionals from the participating organisations and companies.
Department of Science · Roma Tre University
Department of Science · Roma Tre University
Sveva Corrado, Maurizio Cutini, Alessandro Vona, Laura Farroni, Ernesto Consiglio (OverIT), and adjunct lecturers.
FAQ
No. The first-level programme is open to bachelor’s graduates; master’s graduates may also apply.
Basic GIS knowledge is preferred, but the programme starts from the fundamentals to establish a common foundation.
The regulations provide for online teaching with possible on-site learning activities, which will be specified in the timetable.
Yes. Attendance at a minimum of two thirds of the classes is required for admission to the final examination.
15 February 2027 – 28 February 2028
Online teaching with possible on-site learning activities. Attendance at a minimum of two thirds of the classes is compulsory for admission to the final examination.