Master of Science degree
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Artificial intelligence

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Academic year 2022/2023
Department of Computer Science
Università di Verona
EQF level: 7
Degree classification: LM 18 - computer science
Field of study: information and communication technologies (icts)
Place of teaching
verona (VR), italy
Duration of the course
Oct 2022 - Jun 2023
Teaching
Classroom-based
Languages in which the course is held
English
University formative credits
120
Cost
Not specified

Course contents

The objective of the master's degree course in "Artificial Intelligence" (AI) is to train experts in artificial intelligence, capable of developing intelligent agents in a wide range of application contexts.
The course is aimed at students, graduates of science (e.g., Computer Science, Physics, Mathematics) or engineering (e.g., Computer Science, Bioengineering, Electronics, Management) degree programs, who have a solid foundation in computer science.
The need to train specialists in the fields of computer science and ICT is clear from the AlmaLaurea 2021 Report in which it is shown that computer science and ICT are the educational fields with the highest demand and the highest net income 5 years after graduation, followed immediately by degrees in Industrial and Information Engineering.

The Master's Degree in Artificial Intelligence aims to train specialists in the field of computer science (Master's Degree Class LM18) capable of developing tools, mostly software, based on the techniques and methodologies specific to Artificial Intelligence (AI). It is also widely recognized how these technologies are being characterized in the landscape of computer science and information technology as a unified corpus for methodologies employed (automatic reasoning and machine learning) and represent one of the most developing areas in the field of STEM sciences.
The main educational objective is to acquire methods and tools to develop fundamental techniques of artificial intelligence, and to design agents capable of autonomously acquiring knowledge and developing models and strategies. Possible applications include areas such as: ecology (e.g., environmental monitoring, climate change), economics (e.g., finance and insurance markets), sustainable growth (e.g., smart building, smart cities, smart grids), medicine (e.g., diagnostics, tele-medicine), product and service industries (e.g., AI-assisted programming, automatic text and speech translation, social signal processing, cybersecurity, autonomous robots, assisted and autonomous driving systems), gaming and entertainment, intelligent, social and human-centered user interfaces (Human Centered Design).
With this in mind, the course places special emphasis on issues related to the development of methods and technologies, mainly software, of artificial intelligence that are secure, reliable, fair, interpretable, i.e., capable of explaining one's decisions, according to the new paradigm of XAI ("eXplainable Artificial Intelligence"). In relation to these educational objectives, the Master's Degree Course in Artificial Intelligence proposes teachings aimed at obtaining specific skills mainly in the fields of computer science and information engineering, with an emphasis on methods and tools to develop artificial intelligence techniques, with particular reference to machine learning, intelligent agents, automatic reasoning, computer vision, knowledge representation, planning, game theory, natural language processing, logic, and the history of artificial intelligence. These teachings will be complemented by learning paths that will enable students to develop knowledge on: analytical/quantitative tools, such as methods and models of probability calculus and physics, inferential statistics, optimization techniques, and decision theory; epistemological and philosophical aspects underlying computational thinking; ethical foundations for the management of artificial intelligence technologies; legal aspects and principles concerning the regulation for the management of artificial intelligence-based technologies; and tools for the development of applications in economics and finance.
Page of the course on the University's website

Teaching

Place of teaching
verona (VR), italy
Duration of the course
Oct 2022 - Jun 2023
University formative credits
120
Attendance methods
Not compulsory attendance
Teaching
Classroom-based
Languages in which the course is held
English

Admission requirements

Type of degree required
1st Level Degree, 2nd Level Degree
Field of study
information and communication technologies (icts)
Foreign language skills
English
English level B2 certification (at least computer-based) is also required.
Degree programme classes
L-31, 26 - Computer Science (1)
Other educational requirements
Requirements for admissions
Specific curricular requirements and adequate personal preparation are necessary, failing which enrolment cannot proceed.

Among the knowledge/skills that the student must possess in order to usefully attend the course are basic knowledge of continuous and discrete mathematics, elementary logic, the ability to specify and analyse an algorithm in terms of its complexity and related data structures, the ability to use an object-oriented programming language, knowledge of fundamental concepts relating to computer architectures, the main network protocols, knowledge of the principles of operating systems, databases, calculation models and resource management.


Curricular requirements
1) Graduates in classes L-08 and L-31 (and previous regulations) are admitted without further curricular testing. Certification of English level B2 (at least computer-based) is also required.

--- or ---

2) Students in possession of a university degree or three-year university diploma or other qualification acquired in Italy or abroad and recognised as suitable that provides skills for at least 60 CFU in one or more of the SSDs listed below may be admitted:
- FIS/01, FIS/02, FIS/03, FIS/04, FIS/05, FIS/06, FIS/07
- MAT/01, MAT/02, MAT/03, MAT/04, MAT/05, MAT/06, MAT/07, MAT/08, MAT/09
- INF/01;
- ING-INF/01, ING-INF/02, ING-INF/03, ING-INF/04, ING-INF/05, ING-INF/06, ING-INF/07.

Personal preparation
For students who do not satisfy point 1) and for those who have obtained a degree in classes other than those listed in point 1) and who in any case meet the curricular criteria set out in point 2) above, an assessment is carried out by a special committee to establish whether the skills acquired are such as to enable them to attend the course of study with adequate profit. The assessment consists of an analysis of the curriculum (subjects taken and relative marks) followed by a possible interview. A positive outcome of the assessment enables the student to enrol if he/she so requests. A negative outcome precludes enrolment for the entire academic year to which the application refers. The committee will assess the CVs of foreign candidates to establish whether they meet the curricular requirements.

The committee will evaluate the CVs of foreign candidates to establish the fulfilment of the curricular requirements.

Admission

Admission
No admission selection
The Study Course in Master's degree in Artificial intelligence provides for a procedure for assessing the required requirements. In fact, to enroll in the Degree Program it is necessary to possess specific curricular requirements and adequate personal preparation, failing which it is not possible to proceed with enrollment.
Cost
Not specified

Employment opportunities

ARTIFICIAL INTELLIGENCE SPECIALIST

Function in a work context:
Holds roles such as the coordinator of artificial intelligence projects, the analyst of software with artificial intelligence capabilities, the developer of software modules with artificial intelligence capabilities, the integrator of such modules or the verifier of such modules. In general, the AI Specialist takes on roles of responsibility in the design and development of artificial intelligence methods and tools to create systems capable of autonomously acquiring knowledge and developing models and strategies. Examples of such systems are: systems for knowledge management and knowledge extraction from large amounts of data (e.g., social networks, internet); artificial intelligence systems for the film and video game industry; AI systems for extracting, managing and processing data related to environmental monitoring and climate change; AI systems for economics and finance; AI systems for sustainable growth (e.g., "smart building", "smart cities", "smart grids"); AI systems for medicine (e.g., diagnostics, tele-medicine); AI systems for the product and service industry (e.g., "AI-assisted programming", automatic text and speech translation, cybersecurity, autonomous robots, assisted and autonomous driving systems).

Skills associated with the function:
- Ability to interact effectively with experts in different application areas in order to coordinate projects related to artificial intelligence-based software;
- Ability to supervise collaborators, coordinate and participate in AI-based product project teams, and to plan and conduct training on AI topics;
- Ability to interact effectively with experts in different application fields in order to understand the specific project requirements related to AI modules and their interaction with the users and processes involved;
- Ability to analyse, design and verify the functionality and performance of AI systems;
- Ability to develop AI-based technologies and to describe the solutions and technical aspects clearly and comprehensibly to end users and decision-makers;
- Ability to understand the functionality required by the various modules of an artificial intelligence application and to integrate these modules harmoniously within the application;
- Ability to perform specific tests for the evaluation of artificial intelligence applications and the verification of properties required for their use.

Employment opportunities:
The advanced knowledge provided by the CdS allows the Artificial Intelligence Specialist to find employment in industries operating in the areas of software production, companies operating in the multimedia area, service and security companies, companies operating in environmental protection and tourism, in the Public Administration, in companies operating in commerce, distribution and logistics, companies and entities operating in the health sector, insurance companies or banks, in industries for automation and robotics, or to work as a freelancer.

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Other editions of the same course
Academic year edition 2023/2024
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