University of Campania "Luigi Vanvitelli"
Bachelor Degree in Data Analytics
Caserta, Italy
Bachelor's degree
DURATION
3 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Oct 2026
TUITION FEES
STUDY FORMAT
On-Campus
Key Summary
About: The Bachelor’s degree in Data Analytics at The University of Campania "Luigi Vanvitelli" is a restricted-access, English-taught programme (class L-41). It covers calculus and mathematical analysis, inferential statistics, exploratory data analysis, machine learning, database design and management, programming (R, Python, SAS Miner, Weka), econometrics, experimental and dynamic models, epistemology, plus internships and data-intensive case studies.
Career Outcomes: Graduates can pursue roles as data analysts, data scientists, statisticians, machine learning engineers, data engineers, business intelligence analysts, research analysts, database administrators or domain specialists in finance, health, environment and energy, applying predictive modeling, big data methods, visualization and reporting to deliver insights.
The Bachelor's degree program in Data Analytics is restricted access (admission test required) taught in English. The course aims to provide its graduates with skills in theoretical and computational mathematics, inferential statistics, exploratory analysis of data, including large-scale data, machine learning techniques for prediction, methodological and applied tools in computer science for managing databases and information systems, programming concepts, modern software tools for data processing, and techniques for communicating results.
The goal is filling the gap in the national education programs to educate professionals in a fastly growing area of applications and eagerly required by the market. This Bachelor’s degree belongs to class L-41 (Statistics), and additionally leverages quantitative and applied computer science related disciplines. The programme focuses on methods and techniques in the area of maths (analysis and calculus), inferential statistics and exploratory data analysis, computer science methods and tools for database design and management, fundamentals of programming, basics of epistemology for the research, econometric, experimental and dynamic models. The graduate will gain knowledge and skills from different fields to get a broad and analytic vision on the tools for management, process and presentation of insights from data, in a strongly interdisciplinary and integrated context. The graduate will be able to use such tools in different application fields such as the economicfinancial, social, demographic, biomedical, environmental and energy sectors, also by means of real data intensive practical case studies during stage periods in external organizations and by learning how to exploit the main software tools used in the field (SAS Miner, or the opensource Weka, R, Python).