Summary

Regulations

The teaching regulations of the study course depend on the following organisational aspects: educational goals, access methods, study plan, exams, final exam, job opportunities, etc. Throughout their university career, students must refer to the teaching regulations enforced from their matriculation.

Teaching Regulations for newly enroled students in the a.y. 2017/2018 [ITA]

898 K

Where

Department of Environmental Sciences, Informatics and Statistics, Scientific Campus, via Torino 155, 30170 Venezia Mestre
For information please contact:  campus.scientifico@unive.it

Head of studies

Prof. Andrea Marin (Teaching Committee Coordinator,  marin@unive.it )

Language

English

Access to the programme

Open admission subject to assessment of minimum requirements.

Quotas reserved for non-EU students residing abroad: 70 seats, of which 3 are reserved for Chinese students living in China, under the Marco Polo Project.

Admission requirements

To be admitted to this Master's Degree Programme students must possess a proper individual educational background and the minimum curricular requirements. A certified knowledge of English at minimum level B2 is also required.
Details about the assessment procedures are available in the webpage dedicated to admission requirements.

Admission with international qualification

Applicants with international qualification must have obtained a bachelor’s degree that is the result of at least 3 years of study. The preliminary evaluation of the qualification is mandatory. Procedures and deadlines are available on the dedicated online platform.
International qualification will be evaluated by the designated teaching committee after the pre-evaluation procedure carried out on the online platform.

Course overview

This Master's Degree Programme is fully taught in English and offers a broad spectrum of knowledge and skills on methodology, tools and technology to:

1. Manage and analyze large amounts of data using statistics and machine learning;
2. Design reliable software with focus on security, correctness and performance.

The two curricula focus on growing sectors of the industry and on Italian and international services such as Big Data & Analytics, Cybersecurity, Cloud e IoT.

Curricula available

• Data Management and Analytics (fully taught in English)
• Software Dependability and Cyber Security (fully taught in English)

Occupational profiles

This Master's Degree Programme produces high-quality experts who may operate in the fields of software construction and data analysis, both in manufacturing companies dealing with information systems and processor networks, and in companies, local authorities and laboratories using complex information systems and analysis methods, both at a national and international level.

In particular, Computer Science graduates at Ca' Foscari will acquire skills for the production of reliable and correct software, with particular emphasis on security problems of IT systems. Moreover, they will acquire competencies concerning the management, intelligent treatment and analysis of data, which are particularly large, heterogeneous, and produced at high speed.

Moreover, second cycle graduates may take the professional licensing examination to register on the Italian roll of information engineers (section A).

Attendance

Open, though laboratory attendance is advisable to prepare exercises and projects in order to meet the theoretical and practical learning outcomes of the degree programme.

Examination assessment and graduation

Learning activities comprise taught courses, workshop-based projects and training/internships so that students can acquire a broad range of competencies, both theoretical and practical, that are transferable to the world of work, as well as life-long learning skills.

Learning outcomes are continuously assessed by means of written exams, oral exams, assignments, project reports, presentations, and group as well as student-teacher discussions.

The final exam consists of a dissertation that must contain original research, documentation and exhaustive scientific analysis, and that must be defended before a committee made up of university professors and experts.

Access to further studies

Professional Master's Programmes (1st and 2nd level) and PhD programmes