Master's Degree in Automation in Siena in Italy

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Automation

Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.

The academic area of automation encompasses a variety of knowledge and skills involved with the automated control of different machines and systems. University programs usually have a general approach or focus on a particular specialization, such as industry applications or computer technology.

Officially known as the Italian Republic, the country is found in southern Europe. The official language is Italian and the cultural rich capital is Rome. Many of the world's oldest universities are located in Italy, in particular the University of Bologna (founded in 1088). There are three Superior Graduate Schools with "university status", three institutes with the status of Doctoral Colleges, which function at graduate and post-graduate level.

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Master in Computer and Automation Engineering

University of Siena
Campus Full time 2 years October 2017 Italy Siena

The MSC in Computer 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... [+]

Masters in Automation in Siena in Italy. Master in Computer and Automation Engineering LM-32 - 120 CREDITS · Language: English (level B1 required) · Specializations: Information systems, Robotics and automation · Years: 2 · Numerus clausus: No The MSC in Computer 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 humanmachine 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. The program provides advanced competences in the area of computer and automation engineering. To get admission in this course of studies students must possess: a background in mathematics, statistics and physics, equivalent to the one achieved in first-level (B.A.) engineering degrees; basics principles of computer science, control, electronics and telecommunications; basic programming skills. Study plan 2015/16 Specialization Information systems taught in English first year · Automata and queueing systems 6 ECTF · Advanced digital image processing 9 ECTF · High performance computer architecture 9 ECTF · Machine learning 6 ECTF · Advanced database systems 6 ECTF · Artificial Intelligence 9 ECTF · Models and languages for bioinformatics 6 ECTF · Network optimization 6 ECTF · Other activities for further linguistic abilities (English B2 level) 3 ECTF second year · Design of applications, services and systems 9 ECTF · Internship 9 ECTF · Final work (tesi) 18 ECTF · 3 courses from the following group (for reaching 24 ECTF ): Bioinformatics 6, Language processing technologies 6, Human-centered robotics 6, Multivariable and non-linear control 6, Data analysis 6 Specialization Robotics and automation taught in English first year · Discrete event systems 9 ECTF · Complex dynamic systems 6 ECTF · Human-centered robotics 6 ECTF · Machine learning 6 ECTF · Artificial Intelligence 9 ECTF · Mathematical methods for engineering 9 ECTF · Network optimization 6 ECTF · Sensors and microsystems 6 ECTF · Other activities for further linguistic abilities (English B2 level) 3 ECTF second year · Multivariable, non-linear and robust control 9 ECTF · System identification and data analysis 9 ECTF · Internship 9 ECTF · Final work (tesi) 18 ECTF · 3 courses from the following group: Design of applications, services and systems 9, High performance computer architecture 9, Bioinformatics 6, Language processing technologies 6, Advanced database systems 6, Models and languages for bioinformatics 6 Application In order to apply to the 2016/17 academic year you will have to send all your documents to the Academic Committee of the course you are interested in for the evaluation and you will be able to do that (approx. from mid January 16 on) through an online platform that you will find at this link: http://enrolment.diism.unisi.it/index.php?logout=no&lng=en For second cycle (laurea magistrale) degree programmes taught in English (documents must be submitted in English) - evaluation form (please note: the form must be completed in all parts) - curriculum vitae - transcript of records of the first cycle degree possessed - certificate of proficiency in English, with language level - copy of passport or identity card Fee Tuition fee for the MSc courses can be up to around 2000 euros per academic year but part of the fee is based on your family income and students are required to produce an official declaration of the economic status of the family unit for the previous year issued by the home country tax office, legally translated into Italian with the Embassy/Consulate duty stamps. Tuition fees have to be paid in three different moments: the first part when you complete the enrolment procedure, the second in January, the third part in May. Scholarship and accommodation Scholarship and accomodation are not granted by the University itself but by the DSU and are based on family income and merit. Call for scholarship and accomodation is usually out in the month each year so we advise you should keep an eye on their website www.dsu-toscana.it [-]