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.

TRACKS

Business Intelligence

Business Intelligence

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

DNA strand

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.

Pervasive Computing

Internet of Things

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.

Visual Computing

Computational Vision

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.

PROSPECTIVE CAREER

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.

FACULTY

  • Paolo Massobrio

    Paolo Massobrio

    Assistant Professor in Bioengineering

    Paolo Massobrio

    Assistant Professor in Bioengineering
  • Alessandro De Gloria

    Alessandro De Gloria

    Professor of Electronics Engineering

    Alessandro De Gloria

    Professor of Electronics Engineering
  • Giovanna Guerrini

    Giovanna Guerrini

    Associate Professor of Computer Science

    Giovanna Guerrini

    Associate Professor of Computer Science

    Data Management

  • Silvio Sabatini

    Silvio Sabatini

    Associate Professor of Bioengineering

    Silvio Sabatini

    Associate Professor of Bioengineering
  • Giovanni Chiola

    Giovanni Chiola

    Professor of Computer Science

    Giovanni Chiola

    Professor of Computer Science
  • Michele Piana

    Michele Piana

    Professor of Numerical Analysis

    Michele Piana

    Professor of Numerical Analysis
  • Elena Zucca

    Elena Zucca

    Associate Professor of Computer Science

    Elena Zucca

    Associate Professor of Computer Science

    Programming Languages

  • Marco Raberto

    Marco Raberto

    Associate Professor of Industrial Engineering

    Marco Raberto

    Associate Professor of Industrial Engineering

    Agent-based macroeconomics