Data Science for Economics, Business and Finance

Area	Economics
Degree Code	LM-56 – Economics and LM-91 – Methods and Techniques for the digital society (interclass course)
Language	Curriculum Data Science for Finance and Economics – Fully offered in English Curriculum Data Science and Business Analytics – Partially offered in Italian
Admission	Free – the adequacy of students’ knowledge will be tested
Venue	Ancona
Lectures	On site

Features and aims of the course

This new program trains experts in big data analysis and quantitative methods applied to economic, business, and financial contexts. It combines technical skills (programming, statistics, econometrics, machine learning) with advanced knowledge in business analytics and financial economics.

LEARNING OBJECTIVES

DSEBF master degree offers two different curricula, designed to fit your own personal professional career paths; there is a common base in both curricula: data analysis.
There is a core of courses that are common to all students. Students can specialize their study plan towards business analytics and data engineering or finance analytics and econometrics.

Core:
- Computational statistics and quantitative methods (ENG)
- Fundamentals of Information Systems (ENG)
- Big Data Econometrics (ENG) and Statistics for Big Data (ENG)
- International and comparative labor law, artificial intelligence and data protection (ENG)
- Information systems for data analytics (ENG)
- Data analysis for business decisions (ENG) and Web marketing (ENG)
- AI applications Lab (ENG)
Data science and Business Analytics:
- Misurazione delle performance e business analytics (ITA)
- Economics of ICT (ENG)
- Big Data analytics (ITA)
- Laboratorio di Big Data Analytics (ITA)
Data science for Finance and Economics:
- Financial economics and risk management (ENG)
- International banking and financial institutions (ENG)
- Computational economics and finance (END)
- Financial econometrics (ENG)
Electives:
- Finance analytics fpr pricing and risk reduction/Economics of innovation/Macroeconomics for professionals/History of banking and finance/Analysis and evaluation of public policies/Business startup (ENG)
- New generation databases/Computer vision e deep learning/Project management e supporto alle decisioni/Sociologia dei sistemi organizzativi (ITA)
- Internship

YOUR FUTURE CAREER OPPORTUNITIES

Designed to meet the growing demand for professionals capable of analyzing large datasets, the program collaborates with multinationals, ensuring a practical and up-to-date education. Studies confirm the importance of big data in finance and business, highlighting the need for new professional profiles.
Graduates develop tools to interpret complex data and support strategic decisions through quantitative models. The program focuses on three key profiles: Data Scientist, an expert in predictive and prescriptive analytics; Quantitative Analyst, specialized in algorithms and financial models; Market Analyst & Data-Driven Decision Maker, with managerial and analytical skills for private and public sectors. Graduate employment is 100%, with full student satisfaction.

STRENGTHS OF THE COURSE

The cross-disciplinary approach, the innovative didactic tools, the analysis of case studies and the development of projects in collaboration with private and public organizations will enable graduates to have a broad range of career options to choose from, in areas as diverse as industry, services, finance, research, public administration.

CONTACTS

Course Coordinator:
Prof.ssa Maria Cristina Recchioni
m.c.recchioni@staff.univpm.it

Ufficio Orientamento e Tutorato
Tel: +39 071 220 3010 – 3038
orientamento@univpm.it