EN

The Bachelor's Degree Program in Data Analytics was established to address a national educational gap in a rapidly growing field that demands specialized training in one of today's most promising professions: the Data Analyst (a brief webinar on the role of the Data Analyst is available here).

In the era of Big Data, the labor market (including businesses, banks, insurance companies, and research centers) is experiencing a growing demand for Data Analysts—professionals capable of managing and analyzing the ever-increasing volume of information and large datasets generated across various application fields such as economics, social sciences, and other scientific domains. This demand is fueled by the availability of modern data management systems capable of processing information from digital streams (e.g., web, social networks, sensor networks, smart meters, and other sources).
To get an idea of the job opportunities available, click on this link.

A fundamental requirement for successfully addressing future challenges in the information society is critically understanding how data is collected, encoded, processed, stored, and disseminated; how data is correlated; how it can be selected and analyzed; and how it can be transformed into high-value knowledge.

The Bachelor's Degree in Data Analytics focuses primarily on teaching methodologies and techniques for mathematical analysis, inferential statistics, and exploratory data analysis, computer tools for database design and management, programming fundamentals, principles of research epistemology, econometric models, and experimental and dynamic models.
The knowledge acquired, drawn from various disciplines, enables graduates to gain a broad and analytical perspective on tools for managing, processing, and presenting data results, with a strongly interdisciplinary and integrated approach. Beyond the technical tools, graduates are also trained in applying these tools across different fields, such as economic-financial, social, demographic, biomedical, environmental, and energy sectors.
During the program, students are also trained in designing and conducting data-intensive case studies at companies through internships.

The program’s innovation lies in complementing traditional courses with:

• Learning to use key statistical and Data Mining software (e.g., SAS Miner, and open-source tools like Weka, R, Python) through hands-on exercises in computer labs, with contributions from expert trainers;
• Solving practical problems and case studies based on data extracted from corporate databases (e.g., in telecommunications or IT sectors) or public institutions (e.g., ISTAT or INPS).

Specific knowledge and skills acquired by Data Analytics graduates include:

• Mastery of statistical and computational techniques for processing and analyzing large, complex datasets from diverse sources, often unstructured, including high-frequency data (e.g., from sensors);
• Knowledge of statistical methodologies, Data Mining techniques, and optimization methods for solving complex problems and applying them to real-world contexts;
• Experience in analyzing relational Big Data from the internet and conducting Social Network Analysis;
• Expertise in forecasting and monitoring evolving phenomena;
• Proficiency in using statistical software and programming languages such as R and Python;
• Familiarity with database management systems and distributed computing systems, including cloud-based solutions;
• The ability to communicate analysis results effectively through presentations and reports, using clear and informative graphical representations.

EN

The enrollment procedure (in Italian) for the degree course in Data Analytics for A.Y. 2025/26 is available at:

https://www.unicampania.it/index.php/studenti/ammissioni-corsi-di-laurea/bandi-e-avvisi-a-a-2025-26/10860-data-analytics

Further information is available on the web pages:

https://international.unicampania.it/index.php/en/students/information-and-enrolment/enrolment

Speciale immatricolazioni

Knowledge of the English language (level B1) is a mandatory requirement for enrollment in the three-year degree course in Data Analytics.

At the time of enrollment, the student must be in possession of a certificate issued by a certifying body according to the Common European Framework of Reference for Languages (CEFR), and recognized by the MIUR

that is, a certificate from the English language teacher of the University. Students interested in acquiring this certificate will be assessed on site by a special examining commission chaired by prof. Girolamo Tessuto 

The dates of the interviews will be published here starting from September 2022.

The test will be carried out remotely using the Microsoft Teams platform. Interested parties can contact the Science Students Secretariat at the emaiL address: Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. for booking with indication of the date chosen for verification.

To access the Microsoft Teams platform, download the device and follow the instructions provided in the guide accessible at the following link:

https://www.unicampania.it/Microsoft_Teams/GuidaIninstallationTeams.pdf

During the online enrollment procedure, the certificate certifying knowledge of the English language must be entered in the "Other documentation" field.