[M] Artificial Intelligence and Automation Engineering

University of Siena
Italy, Siena

Department of Information Engineering and Mathematics Italy, Siena, Via Roma 56 (Palazzo San Niccolò)

Study location	Italy, Siena, Palazzo San Niccolò, via Roma, 56
Academic field	Computer Sciences (JACS I000)
Type	Master's Degree, full-time
Nominal duration	2 years (120 ECTS)
Study language	English
Awards	M (LM-32 Second cycle degree in Computer Systems Engineering)

Application fee	€49.90 per program

Entry qualification	Bachelor/Undergraduate diploma (or higher) After You Apply An Enrolment Committee will evaluate your competencies and skills to determine if they meet the program requirements. Admission Criteria The required competencies for admission include: A background in mathematics, statistics and physics, equivalent to that obtained in a first-level (Bachelor’s) information engineering degree; Fundamental principles of computer science, control, electronics and telecommunications; Basic programming skills. After the Evaluation You will be notified of the outcome approximately one month after the application deadline, or earlier. At the discretion of the Enrolment Committee, students who pass the initial selection based on the submitted documents may be invited to take a remote online test and/or attend an interview. The dates for any additional selection tests will be communicated via email. The entry qualification documents are accepted in the following languages: English / Italian. Schools and universities usually provide documentation translated into English. If this is not available, an official translation will be required, along with certification of the authenticity of the original documents. Review the documents required for the admission application at this link: admission.unisi.it/?p=1193 Review the documents required for enrollment (upon admission) at the link admission.unisi.it/?p=1193 Upload copies on the application

Entry qualification

Bachelor/Undergraduate diploma (or higher)

After You Apply
An Enrolment Committee will evaluate your competencies and skills to determine if they meet the program requirements.

Admission Criteria
The required competencies for admission include:

A background in mathematics, statistics and physics, equivalent to that obtained in a first-level (Bachelor’s) information engineering degree;
Fundamental principles of computer science, control, electronics and telecommunications;
Basic programming skills.

After the Evaluation
You will be notified of the outcome approximately one month after the application deadline, or earlier.

At the discretion of the Enrolment Committee, students who pass the initial selection based on the submitted documents may be invited to take a remote online test and/or attend an interview. The dates for any additional selection tests will be communicated via email.

The entry qualification documents are accepted in the following languages: English / Italian.

Schools and universities usually provide documentation translated into English. If this is not available, an official translation will be required, along with certification of the authenticity of the original documents.

Review the documents required for the admission application at this link: admission.unisi.it/?p=1193

Review the documents required for enrollment (upon admission) at the link admission.unisi.it/?p=1193

Upload copies on the application

Territory requirements	Applications are accepted from the following territories (based on citizenship): World.

Language requirements	English English fluency is required, with a minimum proficiency level of B2 according to the Common European Framework of Reference for Languages (CEFR). For further information, check the following link admission.unisi.it/?p=1944

Language requirements

English

English fluency is required, with a minimum proficiency level of B2 according to the Common European Framework of Reference for Languages (CEFR).

For further information, check the following link

admission.unisi.it/?p=1944

More information	artificial-intelligence-automation.unisi.i

The Master’s Degree program in Artificial Intelligence and Automation Engineering is designed to equip students with advanced skills for designing, managing, developing, and innovating in the fields of cutting-edge hardware and software architectures, as well as control systems and robotics. The program places a strong emphasis on human-machine interaction, covering a wide range of topics such as artificial intelligence, machine learning, high-performance processing of massive data collections, human-robot interfaces, and production automation systems.

Available tracks: Intelligent Systems, Robotics and Automation

Program Objectives
This two-year graduate program, taught entirely in English, is open to both national and international students.

The program offers advanced knowledge in computer and automation engineering, with courses that address:

Engineering tools for designing, evaluating, and programming high-performance and parallel computer architectures.
Artificial intelligence and machine learning techniques for developing intelligent systems.
Design patterns and methodologies for creating complex software systems and distributed applications.
Advanced interfaces for interacting with robots, including vision systems and haptic interfaces.
Techniques for analyzing and designing discrete event systems, multivariable control systems, and nonlinear control systems, with applications in robot control, path planning, and multi-agent systems.
Mathematical and algorithmic tools for network optimization.

Students can tailor their studies by focusing on either information systems design or robotics and automation. Specific topics include:

Design challenges for advanced database systems, such as search engine technologies and information retrieval.
Theoretical and practical aspects of formal languages, language parsers, and natural language processing tools.
Bioinformatics applications and information systems for biological databases.
Algorithms for image processing.
Techniques for modeling, analyzing, and simulating complex dynamic systems.
Principles of estimation theory for system identification and filtering.
Modern paradigms for representing uncertainty and methods for analyzing and designing uncertain systems.
Expertise in designing advanced sensor systems.

This program provides graduates with the theoretical and practical knowledge needed to excel in the rapidly evolving fields of artificial intelligence and automation.

MUR degree class: LM-32 Second cycle degree in Computer Systems Engineering
Duration in years: 2
Credits: 120
Language: English

Internship and International Opportunities
The Department of Information Engineering and Mathematics has a strong track record of collaborations with academic and industrial partners. These partnerships provide students with opportunities to spend a semester at prestigious universities and research institutions through student exchange programs or to undertake internships at companies or research labs specializing in Artificial intelligence and Automation Engineering.

Career Opportunities
Graduates of the MSc in Artificial Intelligence and Automation Engineering are highly sought after by industries, public organizations, financial institutions, and research centers. These sectors often have R&D divisions focused on developing intelligent information systems, industrial automation, and robotics.

The MSc also provides a pathway to PhD programs in Information Engineering, enabling students to pursue advanced research and academic careers.

Graduates with a specialization in Artificial Intelligence and Automation Engineering are particularly well-suited for roles that require expertise in: