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Informazioni 2024/2025

Durata 2 anni
CFU 120
Programme LM-56
Classe delle lauree magistrali in SCIENZE DELL'ECONOMIA (ECONOMICS)
Accesso Accesso libero
Lingua Inglese
Modalità didattica Frontale
Costi Da 0 a 3000 euro all'anno. Scopri se hai diritto a borse ed esenzioni
Esperienze all'estero Sedi internazionali e partner
Contatti Per saperne di più sul Corso visita la sezione dedicata
L'offerta formativa degli anni precedenti è disponibile nella pagina del corso ECONOMIA E ISTITUZIONI FINANZIARIE 8700

Video presentation

Economics and data science

Programme overview


Data are the key to the future and the Master’s degree in Economics & Data Science is a multidisciplinary and innovative project conceived to answer challenges and professional opportunities offered by the information society and to meet the more recent job market trends.

Learning by doing

The course mixes face-to-face lessons with:

  • teaching of softwares used by managers, analysts and professionals
  • seminars in with field experts
  • inclusive learning and peer to peer teaching: team working, laboratory experiences, business case analysis

Career perspectives

  • specialist in economic analysis and management
  • risk analyst and manager
  • social and economic analyst
  • economic analyst in the health, energy or environmental fields
  • economist and researcher
  • expert in evaluation and planning of public or private initiatives

What you will learn

Economic Analysis

Advanced models of microeconomics and macroeconomics

Econometric models for time series analysis and Economic policy evaluation

Econometric models for time series analysis & forecasting and models and techniques for economic policy evaluation

Environment and Health

Health economics; Resources and environmental economics

Financial economics and Global finance

Decisions under uncertainty & Asset Pricing; Global finance & geopolitics

Big Data techniques

Data science methods to deal with Big Data

Mathematics for economics and data science

Mathematical methods for static and dynamic optimization

Statistical Models

Theory and practice of statistical learning techniques

Python Algorithms & Optimization

Heuristic algorithms in Python for optimization problems

Fundamentals of strategic management; Risk management techniques

Business strategies; Techniques for financial risk management

Regulation of Fintech and digital economy

Analysis of legal issues in digital finance

Did you know that...

Market analyst and data scientist will be among the most requested profession on the job market in the next future

Master's degree teachers are in strict contact with the representatives of companies and institutions

In 2020 Big Data & Business Analytics market reached 1815 million Euros


The Master’s Degree in Economics & Data Science provides students a high-level professional training which mixes business, economic, mathematical, computer and legal knowledge. The training path is characterized by :

  • a strong integration among the key disciplines which will allow students to work both in the fields of economics and Big Data
  • a balance among the different topics which will permit students to work in different professional positions within economic and financial systems, companies, private or public institutions

Graduated students will get skills to understand the structure of the market and how it works and they will know the economic actors’ activities (companies and institutions, financial intermediaries, analysts and consultants, think thank and research institutions). They will be able to manage big data to support decision makers’ activities or to propose innovative solutions facing any business problem. Graduated students will be able to work in the fields of health, energy, environment and finance.

Head of programme

Dear student, welcome to the Master's degree in Economics & Data Science! All of us will engage to help you to develop the skills you need to work in this new frontier of knowledge. We ask you to be serious, committed and passionate.

Maurizio Conti

Where to find us

Department of Economics
Via Vivaldi 5 (Darsena)
16126 Genova

Learn more

Student Desk
Edificio Darsena
Via Vivaldi 5 - 2° livello

Student Desk - DIEC website