Università degli Studi di Perugia

Degree course in Computer and automation engineering [LM-32] D. M. 270/2004

General information

Qualification awarded

Master’s Degree in Computer and Automation Engineering

Level of qualification

Second cycle

Specific admission requirements and specific arrangements for recognition of prior learning

Students who intend to enrol on the Master’s Degree Programme in Computer
and Automation Engineering must have a University degree or a
three-year University Degree or Diploma or another recognizable
qualification awarded abroad. Admission
requires specific curricular prerequisites and an adequate
preparation concerning methods and general contexts in scientific
fundamental courses and in engineering characterizing courses for degree classes L-32.Prerequisites required:

1) minimum of 45
ECTS formative credits in the following scientific sectors (S.S.D.);
MAT/03, MAT/05, MAT/07, MAT/09, FIS/01, FIS/03, FIS/07

2) minimum 69 ECTS in the characterizing sectors of class L-8

3) minimum 50 ECTS out of the 69 mentioned above, in the following
sectors; Electronic Engineering, Computer Science Engineering,
Telecommunications Engineering and in ssd ING-IND/31.

Only ECTS credits earned with specific university examinations count as valid; credits earned
based on assessments of professional knowledge and certified skills
are not. Students who do not have the curricular requirements may be
admitted to the Master’s Degree in Computer and Automation Engineering
prior recovery of credits through a specific study plan approved by
the CdS (Course of Study). A student’s personal preparation is considered adequate if: ECTS
credits obtained in scientific sectors S.S.D. (see point 1), average
no less than 21/30 and, if ECTS credits obtained in S.S.D. (see point 2) average no less than 21/30. The student who does not possess the above-mentioned requirements must
pass a test assessing his/her personal preparation. Admission tests
will be held twice every year, at the beginning of each semester and
before the beginning of classes. The course of study may predispose educational activities aimed at
achieving recovery requirements for access.

Profile of the programme

Master’s Degree in Computer and Automation Engineering trains professionals
with extensive, interdisciplinary expertise in the fields of
information processing and transmission, industrial automation and robotics,
and permits the understanding, modelling and addressing of highly
complex issues in these fields. In particular, graduates in the Master’s Degree in Computer and
Automation Engineering, will obtain in-depth expertise in both
theoretical and practical application in software engineering,
databases and information systems, distributed programming,
engineering algorithms, information visualization, computer security,
automatic control and industrial automation, in robotics and
industrial robotics applied to services, as well as tools for systems
engineering applications in medicine and biology. Specific laboratory
activities allow students to increase their practical applications in
the field, developing both independent and group activities. The
degree course ends with a final examination, which is the discussion
of a thesis elaborated, in an original way, by the student.

Qualification requirements and regulations

The Master’s Degree course in Computer and Automation Engineering (IIA) has a duration of two
years, during which the student must acquire 120 ECTS
credits. Formative activities are organized on a semester basis,
through lectures, tutorials, practical work and seminars, training
and the final examination. The latter (15 ECTS credits) is the
discussion of a thesis elaborated by the student, under the guidance
of one or more professors. Student orientation is ongoing and
provided by didactic secretary and by special tutors selected by CDLM
(Master’s Degree Course). Upon graduation, professional orientation
is developed in collaboration with associations and industrial
organizations. The organization and management of the Master’s
Degree in Computer and Automation Engineering is described in the
Academic Regulations, available on the Faculty website.

Key learning outcomes

Graduates in Computer and Automation Engineering can and know how to use the specific skills acquired in mathematics and other basic sciences in order to interpret and describe complex engineering problems or
problems that require an interdisciplinary approach, with a thorough
knowledge of the theoretical and scientific aspects of engineering,
in particular, but not exclusively, engineering, computer science and
automation, that is:

- Fundamentals, techniques and methods of design and implementation of information processing systems and their applications in various sectors, such as data transmission; - Techniques and principles of
design and implementation of control systems and industrial
automation and industrial robot applications and services; in
addition to acquiring knowledge in organization skills (corporate
experience) and professional ethics.

Graduates will acquire judgement autonomy in determining the reliability of the information necessary for activities that characterize his/her work and to make decisions in a critical manner. He/she will also gain
awareness skills with regards to special focus on environmental
issues and technology risks. They will have the ability to communicate clearly,
and with appropriate language, information, ideas and solutions to
problems to interlocutors, specialized or not, in a national or
international context, through correct written and oral forms and in
at least another European Union language. They are able to use the
main tools of Information and Communication Technology and
have communication and relationship skills for teamwork or within an
interdisciplinary field without losing full autonomy in achieving
their personal goals. These skills are fostered by specific seminars
and the preparation of special reports, acquired during the most professional courses. Learning outcomes in terms of communication skills are assessed during single course exams and, in particular, discussion of the thesis.

Examination regulations, assessment and grading

Individual exams normally require a written or practical, and oral exam before a
commission of at least two professors. Assessment methods (e.g.
written examinations, final or ongoing, seminar presentations) may be
found in the singular course descriptions. Exams are assessed on a
scale of 30, and where appropriate, with honours. The final mark is
based on the outcome of each course and on the final examination. The
latter includes the submission, in writing, of a research thesis and
its discussion, before a board of at least 5 professors. The final
grade is on a scale of 110, and where appropriate, with honours.

Graduation requirements

The final qualification is obtained after completion of 120 ECTS credits
and upon passing the final examination, which includes the discussion
of the thesis.

Mode of study (full-time, part-time, e-learning, ...)

Full time study and attendance is strongly suggested although not obligatory. Distance learning is not provided.

Occupational profiles of graduates with examples

Career opportunities for graduates of the Master Degree Course in Computer
and Automation Engineering are oriented towards companies that
develop or use typical tools of ICT (Information and Communication
Technology), with particular attention to information processing,
industrial automation and robotics, and towards telematic services
and applications. The increasing diffusion of information processing
tools in every sector results in a virtually unlimited field of
application of the acquired skills. Based on experience, we can say
that graduates have significant employment opportunities both in
regional, national and international sectors. Employment
opportunities are also favored by activities that professors have in
collaboration with many companies in the industry, which allow
students to carry out thesis activities directly with the firm.
Employment opportunities may be enumerated as follows:

-Design and implementation of complex computer systems and services,
centralized or distributed on the network;

-Design and development of databases and information systems;

-Design of services and data;

-Development of systems and multimedia applications and distributed
across a network, with particular reference to the Internet;

-Development of integrated systems for plant supervision, control and
automation;

-Design and implementation of robotic systems in the industrial and
service areas;

-Development of management and automation systems in industrial
production.

The professional profile is part of the engineering profession, regulated
by DPR 328/2001 and subsequent amendments.

Access to further studies

The Master’s degree course gives access to admission to the Doctoral
degree programme in Information Engineering at the Università degli
studi di Perugia, as well as other PhD programs that are held at
other Italian universities.

Programme director or equivalent

Tabella riepilogativa regolamento

Computer Science and Telecommunication Networks (Regulations 2013)

Computer Science and Automation (Regulations 2013)