Corso di Laurea Magistrale in Data Science

Corso di Laurea Magistrale in Data Science

Master of Science Programme in Data Science, 2 years, English language

Class: LM-DATA - DATA SCIENCE

Duration: 2 years - 120 ECTS credits

President of the degree course:  Prof.ssa Rosanna Verde (elected with DR 1003 del 14/10/2024)

 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.

Students can choose among two specializations:

i. Data Science for official statistics and business analytics;

ii. Data Science for scientific applications.

Students which choose the specialization “Data Science for official statistics and business analytics” will be awarded of the label “European Master in Official Statistics (EMOS)”. It is a shared initiative by Eurostat, the European Statistical System (ESS) and the European System of Central Banks (ESCB), which aims to include official statistics in master’s programme curricula, connect producers of official statistics and academia representatives across Europe and create a pool of highly skilled professional statisticians for recruitment in the ESS and the ESCB.

The EMOS programme provides a preparation aimed at those wishing to operate in national and international agencies producing official statistics and, more generally, in all public or private companies.

Further details on this opportunity are available here and here

Class Timetable

Exam Schedule

Form for choosing 2nd year exams

Presentation of the master degree program

The MSc program in Data Science aims to train specialists with technical mathematical, statistical, and computer science competencies, as well as basic knowledge in applied domains of physical and biological sciences, and in business administration.

DS graduates will be able to contribute to the analysis of data, even handling large datasets, while effectively collaborating with experts in specific application sectors. They will operate within various working contexts, including public and private companies, as well as scientific and technological research institutes and bodies. This involvement extends to sectors such as management, commerce, finance, and general administration, along with participation in interdisciplinary work and research groups.

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.

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.

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.

Opportunities for Data Scientists

As the integration of statistical and computational analytical tools becomes essential across various organizations and enterprises, the demand for data science professionals is expected to rise significantly. The best practitioners are anticipated to possess a thorough understanding of the fundamentals. For example, in applications within marketing, the healthcare industry, and banking, computational skills must be complemented by graduate-level statistical expertise. Data scientists require a broad background knowledge to effectively 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.

Admission requirements

Admission to the Master's Degree Program in Data Science will be granted to those who have obtained a bachelor's degree in one of the disciplines in BLOCK 1 (or equivalent degrees from the old academic system) or foreign qualifications deemed equivalent based on the declarations of value.

**BLOCK 1**

- L-07 - Civil and Environmental Engineering

- L-08 - Information Engineering

- L-09 - Industrial Engineering

- L-41 - Statistics

- L-30 - Physical Sciences and Technologies

- L-31 - Computer Science and Technologies

- L-35 - Mathematical Sciences

For graduates from the bachelor's degree programs in BLOCK 2 (or equivalent courses from the old academic system) and equivalent based on the declarations of value for foreign qualifications, it is required that the student has acquired a minimum of 24 ECTS (University Credits) in the sectors: MAT/01-09, ING/INF05, INF/01; SECS-S/01-06. The verification of the students' preparation will be carried out according to the methods defined in the course's academic regulations.

**BLOCK 2**

- L-02 - Biotechnology

- L-27 - Chemical Sciences and Technologies

- L-32 - Environmental and Nature Sciences and Technologies

- L-18 - Economics and Business Management Sciences

- L-24 - Psychological Sciences and Techniques

- L-33 - Economic Sciences

- L-36 - Political Science and International Relations

- L-37 - Social Sciences for Cooperation, Development, and Peace

- L-40 - Sociology

For those who have obtained a bachelor's degree in another discipline, or have obtained a university-level qualification (first cycle) abroad, for which the equivalence with a course belonging to one of the above-mentioned degree classes is not clear, an assessment of the possession of the required knowledge and skills for admission to the program will be carried out preliminarily.

For admission to the study program, the graduate's knowledge and skills in English will be assessed and must be at a level not lower than B2 of the Common European Framework of Reference for Languages. Reference can be made to the table available on the university's website at the link:

https://www.unicampania.it/RipartizioniFS/RAG/Bando_Erasmus_Studio_Ue_ed_ExtraUe_traineeship_a.a.2023-2024/Allegato_1.pdf

For the verification of English language proficiency, in the absence of a certificate among those defined in the table (for example, ESOL, TOEFL, TIE), a language proficiency interview with a university English lecturer will be conducted before finalizing enrollment in the study program, to verify that the language proficiency level is not lower than the required B2 level.

Knowledge of the Italian language for foreign students is not a requirement for admission. However, it is expected that an adequate knowledge of Italian, at least at the B2 level, will be acquired during the course of studies.