Master's Program in Computing in Italy

View Masters Programs in Computing in Italy 2017

Computing

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 computing field covers a wide range of studies, including information systems, computer engineering, information technology, computer science and software engineering. Different computing disciplines may cover software and hardware system building and design, the creation of intelligent computers, information structuring and scientific research.

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.

Top Master Programs in Computing in Italy 2017

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Master in Data Science

Bologna Business School
Campus Full time 12 months December 2016 Italy Bologna

The Master in Data Science is designed for recent graduates interested in management and data analysis and whom would like to take on a role which is central to any business and its value creation: the Data Scientist, having already become one of the most sought-after experts in the professional world. The data business is becoming a key sector for the European economy, the development of products and... [+]

Best Masters in Computing in Italy 2017. The Master in Data Science is designed for recent graduates interested in management and data analysis and whom would like to take on a role which is central to any business and its value creation: the Data Scientist, having already become one of the most sought-after experts in the professional world. The data business is becoming a key sector for the European economy, the development of products and services based on data and the analysis of data collected in companies, public entities or that are available on social networks. The aim being to obtain operational indications and to identify new business opportunities. In one word: Big Data, but not exclusively. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data. The Data Scientist is defined by the Economist as “the most interesting job of the twenty-first century, combining the skills of an IT technician, statistician and storyteller to extract the golden nuggets hidden under the mountains of data.” The Master in Data Science offers 3 different types of skills: solid computer training, am understanding of the technological aspects and knowledge of business dynamics. This Master creates professionals with across-the-board skills whom are able to relate with the company’s management. The program concludes with a Field Laboratory Work and a company internship. Structure The master in Data Science is a full-time program structured in 1,500 hours of learning activities over 12 months of study, divided into: 360 hours of lecturing, an estimated 540 hours of independent study, and 600 hours of internship. The structure of the Master is divided into three terms: First cycle: December 2016 – April 2017 Second cycle: April 2017 – July 2017 Internship: August 2017 – December 2017 Classroom participation is about 30 hours per week structured in order to allow time to work in groups, while not neglecting individual students focus and management of interpersonal relationships. Learning Method The educational sessions provide different learning methods, including lectures, simulations, discussions of case studies and presentations by companies, testimonials, and group work. The curriculum is completed with master lectures held by professionals from the worlds of business, academia and politics, with opportunities for discussion and interaction with the business world through case histories. Fees The tuition fees for the 2016/2017 academic year are 14,800 euros to be paid in several instalments, the first one upon enrollment. The fees cover all academic materials via the online learning platform, all the facilities of the Alma Bologna Business School including use of the computers and secure personal Wi-Fi accounts, access to the study areas and gym, as well as student discount in the School’s cafeteria. Free parking is also available within the grounds of the School. In addition, with your University of Bologna Student Card you will have access to all university facilities with more than 100 libraries (including online subscriptions and databases), the 3 city centre canteens and all university student related discount offers. Scholarship/Financial Aid At Bologna Business School we understand the importance of financial aid in supporting our students in achieving their educational goals. We are aware that an advanced, high quality training path can be a significant commitment but we also truly believe that investing in one’s future always pays back. Bologna Business School is pleased to offer partial scholarships to the most meriting students: there are scholarships of 6,000 euros each and scholarships of 4,000 euros each. All applicants will be considered for a scholarship – no specific application is required. Thanks to the agreement between Bologna Business School and Intesa Sanpaolo, participants are eligible to apply for “PerTe Prestito Con Lode”, a long-term and low-interest honor loan. Main characteristics: Loan amount equal to the enrollment fee Reduced interest rate No collateral required Repayable in 10 years Without early closing fees [-]

Master in Cloud Computing and Services (CCS)

EIT Digital Master School
Campus Full time 2 years September 2017 Italy Trento

The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. [+]

The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. What is common to all of these applications is that information sources and control are decentralised over the network and multiple data centres and their underlying systems become distributed, reconfigurable and adaptive. All this makes the process of developing distributed software systems significantly more complex than for centralised systems. Cloud Computing and Services will provide students with a system of knowledge both in formal foundations, technological platforms and practical skills in implementing distributed software applications. The programme will also provide an insight into current and future directions of the distributed software development. After completion of the study, students understand and know how to use large distributed systems. On top of this they are also capable of designing and constructing cloud computing systems and services on networking and computing infrastructures. The programme will offer six specialisations: (1) Mobile Services, (2) Cloud and Data Analytics, (3) Cloud Infrastructures, (4) Data Intensive Computing, (5) Distributed Information Management, (6) Distributed Data Processing. Programme During the first year, a similar set of courses are offered at the four involved entry points Aalto University, TU Berlin, University Rennes 1 and TU Delft. This includes distributed systems, advanced network technologies, service technologies and cloud programming models. In addition, some elective cours-es may be chosen to prepare for a specialisation. An important part of the programme are the Innovation and & Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business and management. The Business Development Lab will extend projects mainly in the areas of distributed system and cloud computing by a market survey, a business model generation process and a venture development exercise. We emphasize user driven innovation and holistic analysis of service, technology, organization and financial perspectives, as distributed systems in general and cloud computing in particular are disruptive for existing business models and almost always have a significant impact on the culture and social relations. Society-relevant themes will also be at the core of the summer schools, which will bring students from the different entry points together. Students participating in the CCS track will be offered an internship in a partner industry or research centre of the EIT Digital to work on a thesis project. Directly linked to the master thesis, there will be the I&E minor thesis that will specify the requirements, strategy and business plan for the selected master thesis project. The I&E thesis allows students to study topics including, but not limited to: Different models for cloud computing (IaaS; PaaS, SaaS) Peer-to-peer systems and environments Innovative service for mobile computing (location-based and context-aware services), Parallel and distributed systems Security and privacy for electronic commerce applications Linked open data and semantic web Multi-agent systems. Specialisations Specialisations are provided during the second year. The CCS programme offers 6 specialisations, each at a different location. To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. Mobile Services at Aalto Cloud & Data Analytics at TU Berlin Cloud Infrastructures at University Rennes 1 Data Intensive Computing at KTH Distributed Information Management at Université Paris-Sud Distributed Data Processing at Delft University of Technology Specific Admission Requirements A B.Sc. degree in computer science, computer engineering or information systems, is required. Students should have basic competence in mathematics, theoretical foundations of CS, algorithms and data structures, software engineering and database systems, computer architectures, computer networks and operating systems. [-]