Engineering in Computer Science and Artificial Intelligence

Regolamento Didattico del Corso di
Laurea Magistrale in Ingegneria Informatica e Intelligenza Artificiale
(Master of Science in Engineering in Computer Science and Artificial Intelligence)
Classe LM 32 Ingegneria Informatica
Ordine degli Studi 2026/2027

Specific Educational Objectives
Graduates of the Master's Degree Programme in Engineering in Computer Science and Artificial Intelligence are expected to acquire an advanced educational background and broad scientific knowledge enabling them to interact effectively with specialists across all engineering disciplines as well as in the fields of economics and management.
The programme is designed to provide students with a solid foundation in engineering disciplines, advanced knowledge in computer science, and adequate preparation in engineering design methodologies.
The curriculum is based on the assumption that students have already acquired the fundamental scientific and engineering knowledge typically provided by a Bachelor's Degree. To accommodate students with different educational backgrounds, the programme offers several curricular options depending on the applicant's previous degree and academic preparation.
The curriculum includes a core set of subjects considered essential for the education of graduates in Engineering in Computer Science and Artificial Intelligence. In addition, students may choose among a number of elective courses that allow them to develop specialized expertise in one of the leading areas of computer engineering, including Artificial Intelligence.
All teaching activities are conducted exclusively in English, making the programme accessible to international students. This promotes integration and knowledge exchange within an international environment and contributes to the education of engineers capable of working in multidisciplinary projects.
The completion of the curriculum enables students both to deepen their knowledge in specific areas and to further develop their communication skills. In order to provide substantial experience in the development of complex projects and the solution of advanced problems in Computer Engineering and Artificial Intelligence, the programme includes the preparation of a Master's thesis.

Admission Requirements and Recognition of Previous Credits
Admission to the Master's Degree Programme in Engineering in Computer Science and Artificial Intelligence is subject to verification of the curricular requirements specified below.
In addition to holding a Bachelor's Degree or an equivalent foreign qualification recognized as suitable, applicants are expected to possess a solid background in the fundamental areas of science, engineering, computer science/computer engineering, and the philosophy of science.
Applicants are eligible for admission provided they have obtained, during their Bachelor's studies, at least 60 ECTS credits that can be recognized within the following disciplinary areas.
Basic Scientific Background (minimum 24 ECTS)
Applicants must have obtained at least 24 ECTS credits in one or more of the following academic disciplines:

• Mathematical Logic
• Algebra
• Geometry
• Mathematical Analysis
• Probability and Mathematical Statistics
• Numerical Analysis
• Operations Research
• Statistics
• Statistics for Experimental and Technological Research
• Computer Science
• Information Processing Systems
• Fundamentals of Chemistry for Technology
• Experimental Physics

Within these credits, at least 9 ECTS must belong to the areas of Mathematical Logic, Algebra, Geometry, Mathematical Analysis, Probability and Mathematical Statistics, Numerical Analysis, or Operations Research.
Engineering and Computer Science Background (minimum 36 ECTS)
Applicants must also have obtained at least 36 ECTS credits in one or more of the following disciplines:

• Electronics
• Electromagnetic Fields
• Telecommunications
• Automatic Control
• Information Processing Systems
• Electronic and Computer Bioengineering
• Electrical and Electronic Measurements
• Electrical Engineering
• Management Engineering
• Computer Science
• Biochemistry
• Molecular Biology
• Logic and Philosophy of Science

Within these credits, at least 18 ECTS must belong to the disciplines of Computer Science and/or Information Processing Systems.

Applicants are also required to demonstrate English language proficiency at level B2 or higher according to the Common European Framework of Reference for Languages (CEFR).

Applicants' academic preparation and language proficiency are assessed through a selection procedure carried out by a committee appointed by the Degree Programme Board.
The evaluation is based on one or more of the following elements:

• the Bachelor's Degree grade point average;
• the relevance of the applicant's previous academic curriculum;
• extracurricular activities, including professional experience and additional educational qualifications;
• an interview, where deemed appropriate.

Based on both the fulfilment of the curricular requirements and the assessment of the applicant's academic preparation, the Admission Committee may specify an individualized study pathway within the Master's programme.

Programme Structure
The Master's Degree Programme is structured as follows:

• Core courses: 48 ECTS (compulsory)
• Core elective courses: 12 ECTS, selected from a predefined group of courses
• Related and supplementary courses: 12 ECTS, selected from a predefined group of courses
• Free elective courses: 12 ECTS
• Advanced Programming Laboratory: 3 ECTS
• Seminar activities: 3 ECTS
• Master's Thesis: 30 ECTS

Teaching activities may include lectures, practical classes, laboratory sessions, group projects, and any other learning activities deemed appropriate by the instructor.
Assessment is normally carried out through an examination, which may include written and/or oral components according to the procedures established by the instructor and communicated together with the course syllabus. For some educational activities, no formal examination is required; instead, students are assessed through a pass/fail evaluation. In such cases, the assessment procedures are likewise defined by the instructor.
The programme does not prescribe formal prerequisites for any course. Attendance is generally not compulsory, except for laboratory sessions and other practical activities for which participation is specifically required.

The Degree Programme also offers an Excellence Programme, aimed at enhancing the education of highly motivated and academically outstanding students who wish to pursue additional cultural and scientific enrichment activities.
The Excellence Programme consists of educational activities that are complementary to the regular curriculum. Participation does not confer additional academic credits that may be counted towards the degree requirements.
Students may apply for admission to the Excellence Programme at the end of their first year of study, provided they satisfy the eligibility criteria established each year through a dedicated call for applications. Each admitted student is assigned an academic tutor.
Detailed information regarding admission requirements and the educational activities included in the Excellence Programme is available on the Degree Programme website.

Final Examination
The final examination consists of the public defense of a Master's thesis carried out under the supervision of a faculty member of the Degree Programme Board.
The thesis represents the culmination of the student's academic education and is intended to assess both the knowledge acquired during the programme and the student's ability to deepen such knowledge, apply it independently to a specific problem, and communicate the results effectively and concisely.
The Master's thesis is worth 30 ECTS credits.
The thesis must involve the development of an original and significant project addressing advanced topics in Computer Engineering and Artificial Intelligence. The work may either focus on the design and implementation of innovative solutions to problems arising in real-world application domains or investigate fundamental and methodological aspects of the discipline, with particular emphasis on research-oriented topics.
In both cases, students are encouraged to carry out their thesis within the framework of ongoing research projects and, where appropriate, to contribute to the dissemination of the results through publications in the scientific literature.
The final examination evaluates both the written dissertation and its oral presentation, with reference to the intended learning outcomes of the Degree Programme.

Career Opportunities
The Master's Degree Programme in Engineering in Computer Science and Artificial Intelligence provides advanced knowledge and design methodologies for the development of complex information processing systems, ranging from traditional information systems to innovative application domains such as smart environments and intelligent systems.
Particular emphasis is placed on the design of high-performance, secure, and reliable systems capable of integrating Artificial Intelligence technologies for automated data analysis, context-aware learning, adaptive behaviour, and decision support.
Graduates are therefore prepared to design, develop, and manage innovative digital solutions, advanced software applications, intelligent systems, cloud-based infrastructures, and AI-enabled services.
Typical employment sectors include manufacturing and service industries, public administrations, technology start-ups, and professional consultancy.
Professional Profiles
The programme prepares graduates for the following professional profiles:

1. Software Systems Analyst and Designer
2. Infrastructure Systems Engineer and Administrator
3. Intelligent Systems Analyst and Designer

1. Software Systems Analyst and Designer
Graduates in this profile design, develop, maintain, and optimize software applications by analysing user requirements and identifying the most appropriate computational solutions. They are capable of designing, implementing, integrating, and validating software systems, including complex web applications.
They are also able to exploit modern Artificial Intelligence techniques—including machine learning, deep learning, and automated reasoning—to address specific application problems.
Graduates are able to:

• analyse, design, develop, evaluate, optimize, and maintain software systems;
• manage large-scale and complex software engineering projects;
• collaborate effectively with experts from different application domains in order to understand project requirements;
• communicate technical solutions clearly to both end users and decision makers;
• coordinate project teams, mentor junior collaborators, and contribute to professional training activities;
• communicate effectively in spoken and written English, including the use of specialized technical terminology.

Typical employment opportunities include software companies, information systems providers, service companies, public administration ICT departments, industries operating in the field of Smart Manufacturing (Industry 4.0 and Industry 5.0), as well as freelance professional practice.

2. Infrastructure Systems Engineer and Administrator
Graduates in this profile design, implement, manage, and optimize information systems deployed on distributed and cloud infrastructures. They are responsible for designing and implementing security measures that regulate data access and protect information systems against unauthorized access. They also analyse, evaluate, and optimize the performance of distributed and cloud computing infrastructures.
Graduates are able to:

• design, analyse, verify, optimize, and secure both cloud-based and on-premises infrastructures;
• evaluate and improve system performance;
• collaborate effectively with specialists from different application domains;
• communicate technical solutions clearly to end users and decision makers;
• coordinate technical teams and contribute to professional training activities;
• communicate effectively in spoken and written English, including discipline-specific terminology.

Graduates typically find employment in hardware and software industries, networking and information systems companies, service providers, public administration ICT departments, or as independent consultants.

3. Intelligent Systems Analyst and Designer
Graduates in this profile design, develop, and optimize intelligent software systems capable of autonomous or supervised decision making. They analyse complex computational problems and identify the most appropriate Artificial Intelligence techniques and technologies to address them.
Graduates are able to:

• design and develop intelligent systems capable of learning from data, reasoning, making decisions, and solving complex problems autonomously;
• collaborate effectively with experts from different application domains;
• communicate technical solutions clearly to end users and decision makers;
• coordinate technical teams and contribute to professional training activities;
• communicate effectively in spoken and written English, including discipline-specific terminology.

Typical employment sectors include companies developing Artificial Intelligence systems (such as chatbots, natural language processing systems, and decision support systems), information systems companies, service providers, public administration ICT departments, and freelance professional practice.

Transfers, Credit Recognition and Study Abroad - Admission to Subsequent Years
Students transferring from another degree programme or another university may be admitted directly to the second year of the Master's Degree Programme provided that they have been awarded at least 30 ECTS credits corresponding to the first-year curriculum.

Internal Transfers
Students already enrolled in another Master's Degree programme may apply for transfer to the Master's Degree Programme in Engineering in Computer Science and Artificial Intelligence.
Applications must be submitted to the University's Administrative Office in accordance with the prescribed procedures and must include the list of examinations for which recognition of credits is requested.
The Degree Programme Board will determine:

• the examinations to be recognized;
• the corresponding number of ECTS credits to be awarded;
• in consultation with the student, the individual study plan required to complete the programme.

The transfer, the recognition of previously acquired credits, and the corresponding study plan must be formally approved by the Degree Programme Board. Once the transfer has become effective, students may only take examinations belonging to the current degree programme regulations.
Transfers from Other Universities
Students transferring from another university must submit an application to the Administrative Office of the Faculty of Information Engineering, Computer Science and Statistics, together with the list of examinations for which credit recognition is requested.
The Degree Programme Board evaluates each application individually, determines the examinations and credits to be recognized, and defines, together with the student, an individualized study plan consistent with the educational objectives and curriculum of the Master's Degree Programme in Engineering in Computer Science and Artificial Intelligence.
In establishing the study plan, the Board may take into account the student's previous academic background and completed coursework.

Study Periods Abroad
Courses attended at European or non-European universities with which the Faculty has established exchange agreements or cooperation programmes are recognized according to the provisions of the relevant agreements.
Students may undertake a study period abroad within the framework of the Erasmus+ Programme, subject to prior approval by the Degree Programme Board.
In accordance with the University's Academic Regulations, examinations and academic qualifications obtained abroad are evaluated individually for the purpose of awarding ECTS credits within the corresponding disciplinary areas.

General Information
Course syllabi, reading lists, teaching materials, and additional information are available on the Degree Programme website through the University's Course Catalogue:
https://corsidilaurea.uniroma1.it/

Faculty members of the Degree Programme provide orientation activities for prospective students according to the schedule published on the programme website. Throughout their studies, each student is assigned an academic tutor selected from among the programme's faculty members. The tutor supports and advises students in planning their academic pathway, with particular attention to situations involving partial or prolonged inactivity. The Degree Programme also makes use of tutoring services provided by the Faculty, subject to available funding, including the appointment of additional teaching tutors where appropriate.

The Degree Programme, in collaboration with the Faculty, regularly collects feedback from students attending all courses. Quality assurance activities are coordinated by the Teaching Quality Assurance Committee, appointed by the Degree Programme Board and composed of academic staff, students, and administrative personnel. The Committee analyses the results of student surveys and other quality indicators, and its findings are used to promote the continuous improvement of the educational activities offered by the Degree Programme.