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Programme overview

Summary

As economies and societies become increasingly data-driven, the ability to interpret complex information and evaluate economic, social, and environmental phenomena is becoming essential for effective decision-making in businesses, public institutions, financial organizations, regulatory bodies, and international agencies.

The Master's Degree Programme in Economics & Data Science is an innovative and interdisciplinary programme designed to train professionals who can address complex economic challenges by combining rigorous economic reasoning with quantitative methods and advanced data analytics.

By integrating economics, statistics, mathematics, programming, and machine learning, the programme provides students with the analytical and technical skills needed for empirical research, policy evaluation, risk management, and evidence-based decision-making. Graduates will be well prepared for careers in areas such as finance, fintech, healthcare, energy, and environmental sustainability, as well as for further academic and research opportunities.

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

Graduates in Economics & Data Science can pursue a career in various professional fields, such as:

  • 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

The Degree Program Council has established a Consulta composed of faculty members of the program and representatives from various companies and institutions

By 2026, the global Big Data and Business Analytics market could reach approximately €471 billion

With the Erasmus+ Study mobility program, you can spend a study period abroad and also receive a bonus in the calculation of your final degree grade

Contents

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

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Maurizio Conti

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
www.economia.unige.it/sede-genova

Contacts