Info 2024/2025 Degree type MASTER'S DEGREE Duration 2 years CFU 120 Class LM-18 COMPUTER SCIENCE Access Free access Locations GENOVA Language English Teaching mode In-person Head of programme BARBARA CATANIA Department SEZIONE INTERSCUOLA DI SCIENZE MATEMATICHE, FISICHE E NATURALI DEL DIBRIS Taxes and fees From 0 to 3,000 a year. Find out if you qualify for grants ed exemptions Student exchange International destinations and partners Contacts Read more here Orari delle lezioni Portale EasyAcademy Documents Manifesto degli studi 2024/2025 Didattica programmata 2024/2025 Regolamento 2024/2025 Monitoraggio Information about this Course for previous years is available here INFORMATICA 9014 Previous years Info
News Call for applications for participation in the Italian Erasmus programme with the University of Naples Parthenope and for study grants - academic year 2024/25
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Programme overview Summary Our Master of Science is organized in two curricula: Data Science & Engineering, centered on the management, analysis, and visualization of massive amounts of digital data for artificial intelligence or data analytics Software Security & Engineering, devoted to the development of high-quality, innovative software systems through state of the art technologies, security assessment, hardening techniques, and standardized processes Learning by doing The program blends traditional classes with: labs activities and projects development, possibly in collaboration with the industry seminars and short courses on selected topics Career perspectives Depending on the plan of study, graduates qualify as senior data scientist, business intelligence analyst, AI engineer, information security officer, technical leader, project manager in the industry or in research centers, or pursue their studies toward a PhD. The 2030 Agenda ONU for Sustainable Development The design of the MSc in Computer Science and related teaching activities promote the following goals of the 2030 Agenda for Sustainable Development Goal 4 - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all Goal 5 - Achieve gender equality and empower all women and girls Goal 9 - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation What you will learn cloud & high performance computing programming techniques for large-scale applications distributed systems from distributed algorithms and protocols to multi-agent systems, networks, and blockchain machine learning statistical foundation, efficient algorithms, deep learning data pipelines and data governance data lifecycle from acquisition through Internet of Things to data management and data protection data analysis (DSE) from data warehousing to data visualization mobile development (SSE) technologies and programming for mobile devices images and natural language processing (DSE) text analytics and computer vision software engineering (SSE) concepts, methods, and technologies for developing high-quality software computer graphics and augmented reality (DSE) from geometric modelling to human-computer interaction software security (SSE) analyze, fix, and prevent security problems in software system Legend: DSE refers to the Data Science and Engineering curriculum, SSE refers to the Software Security and Engineering curriculum Did you know that... several lecturers are leading scientists in their field multi-disciplinary and team work is encouraged seminars and short-courses on hot topics are organized year-round work side-by-side with faculty and staff is common practice students come from all over the world a vast job market will be easily accessible Contents Data science and engineering The know-how and competence required to effectively manage and analyse data are pivotal in the development of technologies able to support the decision making process, and to improve quality of life by producing smarter systems or delivering better services. You will learn to model, process, and extract knowledge from data, deal with heterogeneous, complex, and noisy data, and interact with domain experts and understand their problems and demands by focusing on artificial intelligence or data analytics. Software security and engineering Digital technologies underlie all aspects of our life: from the ubiquitous apps everybody uses many times a day, to the less obvious software embedded into appliances, vehicles, and critical systems. Unsecure, poorly performing, badly designed software has become a threat to smooth management, safety, and security of our society. High-quality software needs to be carefully produced and maintained, through professional processes and cutting edge technologies. You will learn security assessment of software systems and hardening techniques, development of secure-by-design software, high-quality methodologies for software development, cutting-edge technologies, and software project management. Head of programme Image Welcome to the Master of Science Programme in Computer Science @UniGe. Whether your ambition is to become an expert in Data Science and Engineering, or in Software Security and Engineering, you are going experience our friendly and inclusive atmosphere and share our enthusiasm for learning. Our community - students, faculty, teaching assistants, and staff - strives for blending educational and research programs. Barbara Catania Where to find us DIBRIS Valletta Puggia Via Dodecaneso, 35 16146 Genova GE Learn more If you want to know more about our program, please get in touch with our Didactic support units by sending an email to didattica.scienze@dibris.unige.it
