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    Corso di Laurea Magistrale in Data Science

    Class: LM-DATA - DATA SCIENCE

    Duration: 2 years - 120 ECTS credits

    President of the degree course: referente prof.ssa Rosanna Verde

     

    Data Science (LM Data Science)

    Master of Science Degree, 2 years, English language

     

    Prepare for a Data Science career. Learn methods, skills, and tools to discover insights, communicate critical findings, and model and create data-driven solutions.

     

     

    The Course

     

    The Master of Science (MSc) Programme in Data Science at the University of Campania “Luigi Vanvitelli” offers the opportunity to graduates to deepen their knowledge of Statistics, Computer Science and Mathematics. The course, entirely delivered in English, is strongly connected to the research activities performed at the Department of Mathematics and Physics.

    For data-driven problem-solving, Data Science integrates computational and statistical skills. This programme will provide students with the analytical skills they need to create complex technological solutions using contemporary computational approaches, with a focus on rigorous statistical reasoning.

    The programme combines an entry level of statistical and machine learning technique instruction with a variety of optional courses covering more advanced statistical computing and modeling knowledge.For admission, a bachelor degree in Statistics, Engineering, Computer Science, Mathematics, Physics or related fields is required, provided that students have a sufficient statistics and mathematics background. English level B2, in the Common European Framework of Reference (CEFR), is also required.

    During the 2-year Programme students will have ample opportunity to immerse themself in different areas of data science. The first two semesters (year 1) are devoted to acquiring a solid knowledge in statistics, machine learning, artificial intelligence, software engineering (see the study plan for details). During the third and fourth semesters (year 2), the students focus on a few specialised training modules, followed by a master thesis about an original research subject. Students can choose among two specializations:

    i. Data Science for official statistics and business analytics;

    ii. Data Science for scientific applications.

    For the aims of the Programme, the MSc Teaching Board has established inter-institutional agreements with a some European universities. Students have the opportunity to spend a period of study (preferably the third semester) at one of the partner universities in Europe.

     

    Professional skills

    The MSC programme in Data Science aims to train specialists with technical mathematical-statistical-computer competeneces and basic knowledge in applied domains of physical, biological sciences, and in business administrations.

    The working context within public and private companies and administrations, including scientific and technological research institutes and bodies, particularly in the management, commercial, financial, and general management staff sectors, as well as participation in interdisciplinary work and research groups where the DS graduate will be able to contribute to the analysis of data, even of large dimensions, effectively working alongside experts in specific application sectors.

    The DS graduate with a path more oriented towards official statistics has expertise that can be used in national statistical institutes and national and supranational bodies and organizations that usually use data and information, including those of a transnational nature.

     

    Opportunities for Data Scientists

    Data science professionals are likely to be increasingly sought after as the integration of statistical and computational analytical tools becomes essential in all kinds of organizations and enterprises. A thorough understanding of the fundamentals is to be expected from the best practitioners. For instance, in applications in marketing, the healthcare industry and banking, computational skills should be accompanied by statistical expertise at the graduate level. Data scientists need a broad background knowledge so that they will be able to adapt to rapidly evolving challenges.

    Master’s graduates in Data Science will be able to work in functions of high responsibility in one or more of the following areas:

    - in the tertiary sector and public administrations, in governmental and non-governmental bodies, in national (ISTAT) or international/supranational statistical institutes (EUROSTAT), for example, in the development and management of innovative data-based services, such as those usable online or linked to social networks, in the definition of indicators and statistical analysis to support decision-making;

    - in the industrial and business sector, for example, to manage projects and propose innovative solutions in the field of information and computer systems and decision-making processes at operational, strategic/directional level, and in all processes based on the processing of information coming from databases not only corporate;

    - in the scientific and technological sectors, with particular reference to the biological and biomedical ones, as support figures to the specialists of the field for the activities concerning the management, processing and analysis of data and modeling.

    Master’s graduates can hold roles as Data analyst, Data scientist, Data manager, as well as managers of departments for the development and management of data analysis methodologies and IT tools to support decision-making processes, or as technical figures in teams of analysis and treatment of physical, chemical, biological, health and more generally scientific-technological data. 

     

    DATA SCIENCE
    Study Plan A.Y. 2022/2023

    DATA SCIENCE - Study Plan    
           
      I YEAR (60 ECTS)    
           
    ID COURSE ECTS Teacher
    One of the following 9 ECTS courses
    A423686 ANALYSIS 9 Benedetta Pellacci
    A423687 CALCULUS FOR DATA SCIENCE 9 Antonio Gaudiello
    One of the following 6 ECTS courses
    A423688 ADV. OPERATIONAL RESEARCH 6 Serena Crisci 
    A423689

    SPATIAL RANDOM PROCESSES

    6  
    One of the following 9 ECTS courses
    A423690 STATISTICS FOR DATA SCIENCE 9 Antonio Balzanella
    A423691 TIME SERIES AND SEQUENTIAL DATA ANALYSIS 9 Antonio Balzanella
    A423692 BIOSTATISTICS 6 Fabrizio Maturo
    A423693 MACHINE LEARNING AND AI 12 Fiammetta Marulli(6 ECTS) - Anna Esposito (3 ECTS) + Gennaro Cordasco(3 ECTS);
    A423694 NUMERICAL METHODS FOR DATA SCIENCE 9 Valentina De Simone
    One of the following 9 ECTS courses
    A423695 ELEMENTS OF SOFTWARE ENGINEERING AND INFORMATION SYSTEMS 9 Mauro Iacono (3 ECTS) - Pasquale Cantiello (6 ECTS) (INGV)
    A423696 PROGRAMMING FOR DATA SCIENCE 9 Mauro Iacono 
      TOT 60  
           
           
      II YEAR (60 ECTS)    
           
      "DATA SCIENCE FOR SCIENTIFIC APPLICATIONS"   
           
    ID COURSE ECTS Teacher
    Two of the following 6 ECTS courses
    A423697 NETWORK ANALYSIS 6 Antonio Irpino
    A423698 MEASUREMENT THEORY 6 Bruno Carbonaro
    A423699 STATISTICAL AND MACHINE LEARNING METHODS FOR INFORMATION TECHNOLOGIES 6 Rosanna Verde
    A423700 LAW, ETHICS AND PRIVACY IN INFORMATION MANAGEMENT  6 Domenico Giovanni Ruggiero  
    Two of the following 6 ECTS courses
    A423701 COMPUTATIONAL METHODS FOR PHYSICS 6 Nunzio Itaco
    A423702 STOCHASTIC PROCESSES FOR PHYSICS ANALYSIS 6 Lippiello
    A423703 QUANTUM COMPUTING 6 Giovanni De Gregorio
    A423704 NUMERICAL MODELS IN DATA PROCESSING 6 Campagna
    A423705

    BIOINFORMATICS 

    6  
    A423706 FREE  8  
    A423707 INTERSHIP 8  
    A423709 LANGUAGE KNOWLEDGE 2  
    A423710 SEMINARS 2  
    A423708 THESIS 10  
      TOT 60  
           
      "DATA SCIENCE FOR OFFICIAL STATISTICS AND BUSINESS ANALYTICS"    
           
    ID COURSE ECTS Teacher
    A423697 NETWORK ANALYSIS 6 Antonio Irpino
    A423699 STATISTICAL AND MACHINE LEARNING METHODS FOR INFORMATION TECHNOLOGIES 6 Rosanna Verde
      One of the following 6 ECTS courses  
    A423711 BUSINESS PERFORMANCE ANALYTICS 6 Claudia Zagaria
    A423700 LAW, ETHICS AND PRIVACY IN INFORMATION MANAGEMENT  6 Domenico Giovanni Ruggiero 
      Two of the following 6 ECTS courses  
    A423712 DIGITAL MARKETING 6 Barbara Masiello  
    A423713 LONGITUDINAL AND MULTI-VIEW DATA ANALYSIS 6 Rosaria Lombardo 
    A423714 WEB INTELLIGENCE 6 Silvio Baccari 
    A423715 INDICATORS AND SURVEYS DESIGN FOR OFFICIAL STATISTICS  6 Ida Camminatiello 
    A423716 BEHAVIORAL ECONOMICS 6 Enrica Carbone 
    A423706 FREE 8  
    A423707 INTERSHIP 8  
    A423709 LANGUAGE KNOWLEDGE 2  
    A423710 SEMINARS 2  
    A423708 THESIS 10  
      TOT 60

     

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