10 Data Analytics Masters Degree Programs in Italy

The Master’s Degree in Management, Finance, and Data Analytics (MMFDA) aims to train graduates with specific and qualified skills in management, finance, and data analysis required to operate as managers, consultants, and data analysts for companies, financial institutions, and public administrations. It offers an international learning path in which functional and sectoral knowledge is integrated into the themes of innovation and sustainability,

The Master’s in Data Analytics and AI in Health Sciences (DAIHS) is a 2-year program focused on AI and Machine Learning in healthcare. Offered in English, it combines Humanitas University’s medical expertise with Bocconi University’s strengths in data science. The curriculum includes medical biology, statistics, mathematics, and computer science. The program aims to improve patient care through advanced data-driven solutions.

Data Science is the concept to unify statistics, data analysis, machine learning, and understanding analyze actual phenomena with data with a scope to increase business profitability and growth. Data Science is used interchangeably with business analytics, business intelligence, predictive modeling, and statics. This program is designed to give the tools and resources to make the knowledge deluge into useful results by managing and utilizing the resources available.

The Master of Science in Data Analytics for Business is a two-year program designed for students who have a strong interest in data analysis. The Master's program provides students with a solid understanding of Statistics and Computer science, along with domain-specific knowledge in Business.

This English-taught master's programme in Data Analytics for Business and Society program provides advanced training in data processing and the analysis of complex phenomena across various fields, including economics, strategy, marketing, human resources, finance, accounting, and social sciences.

The Master in Data Analytics for Economics and Management program is designed for students interested in developing state-of-the-art skills in computing, econometrics, statistics, and mathematics and using them to solve a wide range of data analysis problems arising in economics and management. Students will learn a variety of cutting-edge techniques enabling them to extract meaningful information from large data sets and effectively communicate the results of their analysis, thus influencing various key processes and strategic decisions in the organizations in which they will work.

The master degree course has the aim of adequately prepare graduates for getting jobs in both public and private sector; this by providing capacities for the treatment of large databases, for planning and implementing sample surveys in various fields, with major focus on socio-economic and environmental sectors.

MSc in Actuarial Sciences, Risk and Data Analysis has strong knowledge of statistical methodology and its applications in the fields of economics, economic management, finance, demography, sociology, insurance, and social security. Deep knowledge of mathematical models, specifically probability models to apply to finance and actuarial phenomena as well as economic and corporate sciences

This hands-on course allows students to gain both a theoretical and experiential understanding of marketing strategies and data analysis. Through the Master’s Degree in Digital Marketing & Data Analytics, students will be able to refine predictive models based on careful social monitoring, redesigning and implementing omnichannel and cross-channel strategies.

This interdisciplinary course "Analytics and data science for economics and management" is aimed at students who are strongly interested in the quantitative analysis of data for the extraction of useful information in the decision-making processes of private and public companies and organisations. The course provides the knowledge and skills to address the mathematical, statistical and computational aspects of digital data processing and understanding economic and management issues.