Artificial Intelligence Systems (AIS) University of Trento

Overview

Introduction

In recent years, the introduction of techniques and technologies related to Artificial Intelligence (AI) has radically revolutionized many productive sectors, pervasively entering into the daily lives of people and industrial processes.

Advanced Artificial intelligence technologies are the basis for voice assistants in smartphones, smart speakers, domestic robots, autonomous driving vehicles, modern industrial robots, the most advanced medical diagnostic systems, and numerous applications in Industry 4.0. In fact, it makes it possible to partially or completely innovate and automate the production and management processes for companies.

This is due to its ability to process, analyze, decide, and establish actions, all in an autonomous way and in real-time, with a significant impact on the competitiveness of the companies.

The two-year Master's Degree in Artificial Intelligence Systems at the Department of Information Engineering and Computer Science of the University of Trento aims to train new professional figures at the forefront of the conception, design, and development of techniques, technologies, and intelligent systems, favoring the multidisciplinarity of approaches and applications. It has been developed in collaboration with the Department of Industrial Engineering (DII), the Center for Mind/Brain Sciences (CIMeC), and the Faculty of Law.

Program Overview

The teaching program of the two-year master’s degree in Artificial Intelligence Systems (AIS) , delivered in English, includes courses in the following foundational and related areas of artificial intelligence:

• Knowledge representation, automatic reasoning, planning, machine learning, human language processing and technology, human-machine interaction;

• Industrial and service robotics, advanced techniques for perception, decision, and execution of robotic actions in complex and unstructured environments, optimization and deployment of AI-based software solution on existing robotic platforms;

• Signal acquisition, processing, and interpretation of speech, images and videos, artificial vision and applications;

• Cognitive neuroscience, cognitive and brain architectures, and their applications to artificial intelligence models;

• Legal and ethical principles, laws and its applications to the design and application of artificial intelligence systems;

• Business and economic processes, for the organization, management, and innovation of products and services based on artificial intelligence systems.

The courses provide students with substantial laboratory activities and hands-on experiences, projects, seminars by researchers and industry leaders, and internship opportunities.

The program encourages students to improve their communication skills and autonomous learning is considered essential for a professional profile that needs to cope with continuous research and innovation in artificial intelligence.

Admissions

How to Apply

• Access the online application form

• Upload the required documents

• Submit your online application by the deadline

Admission Requirements

To be admitted to the Master’s in Artificial Intelligence Systems, it is necessary:

• To have a first-level university degree, or another qualification obtained abroad and recognized as valid, belonging to the following classes of related disciplines and D.M. 270/04 (in brackets indicates the class corresponding to the Ministerial Decree 509/99):

• Information Engineering - L-8 (9)

• Industrial Engineering - L-9 (10)

• Computer Science - L-31 (26)

and to have completed  in their first-level degree at least 12 credits in INF/01 or ING-INF/05 sectors;

• Or to hold a first-level university degree in other classes of related disciplines which includes at least 36 credits in the groups of academic disciplines CHIM/03, CHIM/06-07, FIS/01-03, MAT/01-09 or SECS-S/01, and at least 12 credits in the INF/01 or ING-INF/05 sectors.
• Have B2 level of English, according to the Common European Framework of Reference for Languages (CEFR).

Selection criteria

• Academic curriculum

• English language knowledge

• Curriculum Vitae

Curriculum

The Master’s in Artificial Intelligence Systems consists of 120 ECTS–credits for a two-year program. Students will undertake full-time learning activities: attendance at lectures is strongly recommended. All courses are taught in English.

The educational offer is organized in 4 curricula with different specialization areas: 

A. Methodologies and Applications     

- Path Computer Vision     

- Path Methodologies     

- Path Intelligent Robots 

B. AI for Innovation    

- Path AI and Innovation

C. Systems    

- Path AI Systems for Environment and Sustainability

D. Neurocognitive Architectures    

- Track Neurocognitive Architecture

Program Outcome

Graduates with the Master in Artificial Intelligence Systems have in-depth knowledge of modern methods of analysis, design, and management of artificial intelligence systems.

The provided knowledge is directly usable in very diverse application fields ranging from Industry 4.0, complex corporate processes automation, autonomous driving, finance, health, and environment.

Furthermore allowing the graduate to face and understand innovation-related issues with a general and critical view.

Further Studies

The Master's degree in Artificial Intelligence Systems provides the knowledge, skills, and training necessary to apply to the following doctoral schools: 

• UniTrento ICT International Doctoral School

• UniTrento Industrial Innovation Doctoral School

• UniTrento Cognitive and Brain Sciences Doctoral School

Career Opportunities

Graduates in Artificial Intelligence Systems hold high-profile scientific, technical, and/or managerial roles in contexts that require in-depth knowledge of the Computer Engineering disciplines with particular reference to systems based on artificial intelligence. Graduates can work in research, design, development, engineering, production, innovation, operation and maintenance, management of artificial intelligence solutions and technologies, and their applications in sectors ranging from the automation of complex corporate processes, mobility, management of services to citizens, finance, health, and the environment.

Thanks also to a formative offer that favors significant laboratory activity in various applications and industrial domains, the employment opportunities typical for graduates in Artificial Intelligence Systems are relevant both to the business operating sectors and to the research and development centers, in particular:

• Companies related to design, development, engineering, production, and operation of intelligent solutions and systems and their applications;

• Manufacturing companies, agro-food companies, companies operating in the private sector, sectors of public administrations, and service companies in which computer systems based on artificial intelligence are used;

• Companies interested in the acquisition, processing, processing, and transmission of information (data, voice, images, and video);

• Manufacturing and logistic companies using robotics and automation, industrial companies developing state-of-the-art robotic solutions, companies producing bio-medical devices that aim to extend their range of products toward assistive robots, solution providing for self-driving autonomous cars;

• Companies operating in the field of design and development of embedded systems and digital platforms for autonomous and intelligent systems;

• Companies in different sectors, which need skills for the development and use of systems based on artificial intelligence to support internal organization, production, and marketing;

• Companies in the services and advanced tertiary sectors, operating in particular in the areas of design, supply, maintenance of services provided via telematic networks, the internet, and the web;

• Manufacturers and/or users of computer components and systems;

• Companies that provide facilities and services for IT systems and networks;

• Software engineering companies;

• Public and private research and development centers.

The Master's Degree can either give direct access to the labor market or to PhD programs and second-level university Master’s degrees.