
MSc in
MSc in Artificial Intelligence and Automation Engineering
University of Siena

Key Information
Campus location
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
EUR 5,252 *
Application deadline
Request info
Earliest start date
Request info
* the tuition fee is calculated according to the country of origin and ranges from a minimum of € 756 to a maximum of € 2,626 per year
Introduction
The Master in Artificial Intelligence and Automation Engineering gives students strong scientific and technological background on complex engineering problems with an emphasis on advanced topics in Artificial Intelligence, Machine Learning, Robotics, and Automation Engineering. Students acquire the appropriate knowledge and expertise for the design of novel software and hardware architectures and are early solicited to interact with companies working in the field to gain real-world experience on currently hot topics. The Master offers plenty of job opportunities in big companies as well as in startups, public institutions, and research centers.
Double Degree option: ESTIA School of Engineering, Bidart (France)
Welcome in Siena
The University of Siena is one of the oldest universities in Europe, having been founded in 1240.
Its history has evolved alongside Tuscany’s cultural tradition from the Middle Ages to modern times.
Siena is located in the heart of Tuscany amid a landscape of gently rolling hills. Built on three steep hills and encircled by ancient walls, it is a unique city where students can spend a profitable study period, full of opportunities for their personal enrichment.
Curriculum
Intelligent Systems
Year 1
- Advanced Digital Image Processing - Compulsory
- Artificial Intelligence - Compulsory
- Automata and Queueing Systems - Compulsory
- Big Data - Compulsory
- High-Performance Computer Architecture - Compulsory
- Machine Learning - Compulsory
- Models and Languages for Bioinformatics - Compulsory
- Network Optimization - Compulsory
Year 2
- Bioinformatics - Elective
- Data Analysis - Elective
- Decision Analysis - Elective
- Design of Applications, Services, and Systems - Compulsory
- Final Examination - Compulsory
- Human-Centered Robotics - Elective
- Language Processing Technologies - Elective
- Multivariable and Nonlinear Control - Elective
- Neural Networks - Compulsory
- Other (Traineeship) - Compulsory
Robotics and Automation
Year 1
- Artificial Intelligence - Compulsory
- Complex Dynamic Systems - Compulsory
- Discrete-Event Systems - Compulsory
- Human-Centered Robotics - Compulsory
- Machine Learning - Compulsory
- Mathematical Methods for Engineering - Compulsory
- Network Optimization - Compulsory
- System Identification and Data Analysis - Compulsory
Year 2
- Advanced Computer Architectures - Elective
- Big Data - Elective
- Bioinformatics - Elective
- Decision Analysis - Compulsory
- Design of Applications and Services - Elective
- Digital Modelling, Design, and Manufacturing - Elective
- Final Examination - Compulsory
- High-Performance Computer Architecture - Elective
- Language Processing Technologies - Elective
- Multivariable, Nonlinear, and Robust Control - Compulsory
- Neural Networks - Elective
- Other (Traineeship) - Compulsory
- Sensors and Microsystems - Compulsory
- Virtual Instrumentation and Digital Embedded Electronics - Elective
Gallery
Program Tuition Fee
Career Opportunities
The graduate in Artificial Intelligence and Automation Engineering can find jobs within industries, public companies, financial institutions and research centers, whose R&D divisions carry out activities in the fields of information systems incorporating intelligence, industrial automation and robotics. Furthermore, the MSc in Artificial Intelligence and Automation Engineering allows the students to access PhD programs in the areas of Information Engineering. More specifically, the professions which are more suitable to the specialist in artificial intelligence and automation engineering 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 including artificial intelligence; design of hardware/software integrated systems; man-machine interfaces exploiting natural language; human-robot interfaces; design and management of biological databases. The graduate in Computer and Automation Engineering can access the Italian professional society of engineers, within the section Information Engineering.