MScArtificial Intelligence and automation engineering
Italy, Siena
Study location | Italy, Siena, San Niccolò, via Roma, 56 - 53100 - email: l2_a2@diism.unisi.it |
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Academic field | Computer Sciences (JACS I000) |
Type | Master, full-time |
Nominal duration | 2 years (120 ECTS) |
Study language | English |
Awards | MSc (LM-32 Second cycle degree in Computer Systems Engineering) |
Tuition fee | You can estimate the amount to be paid per year at this link |
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Application fee | €40 per programme You will receive an e-mail with the payment instructions. |
Entry qualification | Bachelor/Undergraduate diploma (or higher) After you have applied, an Enrolment Committee will assess your competencies and skills against the requirements of the MSc Programme. Admission criteria The competences required to be admitted to the MSc in engineering are: After the evaluation In case of a large number of applications, students who pass the selection based on the submitted documents will also be invited to take part in a remote written test, possibly followed by an interview. The dates of the remote written test will be communicated to the admitted students via email. The entry qualification documents are accepted in the following languages: English / Italian. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. Procedures at the Italian Diplomatic Representatives Non-EU citizens EU citizens – Non EU citizens with regular permit to stay – Italians with degrees obtained abroad |
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Territory requirements | Applications are accepted from the following territories (based on citizenship): World. |
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Language requirements | English In order to take the MSc courses, students must have an adequate knowledge of the English language, at minimum B2 level, as established by the Common European Framework of Reference for Languages (CEFR). Students can demonstrate the required knowledge level either through an approved international certification (see the list) of international certifications recognized by the University of Siena), or by passing a B2 level exam at the Centro Linguistico di Ateneo (CLA). After enrolment in Siena, students having an international certification must present it to the CLA office. The CLA is located in Piazza San Francesco 7, Siena (more details can be found in the related website). For students who are obliged to pass the B2 exam, the University of Siena offers B2 level courses. Dates of the exams and timetables of the courses are reported in the CLA website. The timetable of the English courses is also included in the MSc courses timetable. Students are strongly encouraged to pass the B2 exam as soon as possible, in order to be able to fruitfully take the MSc courses. |
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Other requirements | A motivation letter must be added to your application. |
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More information |
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Overview
The MSc in Artificial Intelligence and automation engineering aims at providing high-level competences for the design, management, development and innovation in the fields of advanced hardware and software architectures, and of control systems and robotics. In particular, the program is focused on human-machine interaction in a wide sense, spanning topics such as artificial intelligence, machine learning, high performance processing of massive data collections, human-robot interfaces, and systems for production automation.
Curricula available:
- Intelligent systems
- Robotics and automation
Objectives
This is a 2-year graduate programme taught entirely in English, offered to both national and international students.
The program provides advanced competences in the area of computer and automation engineering, with courses covering topics such as: engineering tools for the design, evaluation and programming of high-performance and parallel computer architectures; artificial intelligence and machine learning techniques needed to implement intelligent systems; design patterns and methodologies for the implementation of complex software systems and distributed applications; advanced interfaces for the interaction with robots, such as vision systems and haptic interfaces; techniques for the analysis and design of discrete event systems and of multivariable and nonlinear control systems, with applications to robot control, path planning and multi-agent systems; mathematical and algorithmic tools for optimization over networks.
Students can complete the program by focusing either on information systems design or on robotics and automation. In particular, the students can choose courses covering the design issues for advanced database systems, such as search engine technologies and information retrieval; the theory of formal languages and the technological aspects of language parsers and natural language processing tools; the applications of bioinformatics and information systems for biological databases; the algorithms for image processing; the techniques for the modelling, analysis and simulation of complex dynamic systems; the principles of estimation theory applied to system identification and filtering; the modern paradigms of uncertainty representation and the main techniques for analysis and design of uncertain systems; the competences for the design of advanced sensor systems.
Programme structure
The MSc in Artificial Intelligence and automation engineering is entirely taught in English.
MIUR degree class: LM-32 Second cycle degree in Computer Systems Engineering
Duration in years: 2
Credits: 120
Career opportunities
Graduates in Computer and Automation Engineering can find jobs in industries, public companies, financial institutions and research centres, whose R&D divisions carry out activities in the fields of information systems, industrial automation and robotics. Furthermore, the MSc in Computer and Automation Engineering allows students to access PhD programs in the areas of Information Engineering.
More specifically, the professions which are more suitable to the computer and automation engineer are those requiring advanced competences and skills on: industrial automation and process control; robotic systems; modelling and simulation of dynamical systems; data analysis; information systems; systems including artificial intelligence; design of hardware/software integrated systems; man-machine interfaces exploiting natural language; human-robot interfaces; design and management of biological databases.
Graduates in Computer and Automation Engineering can access the Italian Professional Society of Engineers, Information Engineering.
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