DATA SCIENCE AND ENGINEERING
Scenario. Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.
Concept. We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is consituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks: Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing.
Balance between theory and practice. By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.
This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
Health and Life Sciences
Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.
Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.
Senior computer scientist. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.
Further graduate studies. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.
Professor of Computer ScienceMachine Learning
Professor in Computer ScienceTheoretical Computer Science
Associate Professor of BioengineeringPROVA
Associate Professor of Industrial EngineeringInnovation and knowledge management
Associate Professor of Industrial EngineeringAgent-based macroeconomics
Assistant Professor in Bioengineering
Associate Professor of Computer Science
Assistant Professor of Computer ScienceMachine Learning and Learning Algorithms