Data Science and Economics  

General information

Classification of Scholarly Field LM-91 Techniques and Methods for the Information Society
Application and Admission Open with entry interview  How to apply.
Course Duration 2 years - See the Plan of study
Course Attendance Strongly recommended
Course Language English
Course Location via Conservatorio 7 - Milano
via Celoria 18 - Milano
Head of Studies Silvia Salini
Course Website Programme Description
Course email dse@unimi.it



Course Objectives

The Master of Science in “Data Science and Economics” (DSE) aims to respond to the training needs of data scientist in the economic field by providing the skills necessary to analyze and understand the nature of data through modern data management techniques, machine learning, data mining and cloud computing, in order to extract meaningful relationships and recurring patterns, build predictive and nowcasting models that integrate company, market, administrative and social media data, perform analysis of policy effects (economic, social) or actions (investments, marketing campaigns) and any other activity related to the sectors of economy, marketing, business and finance.

The degree program aims to provide a solid and modern cultural background on computer science, statistics and economics, providing an integrated view of these skills in all its courses, in the belief that the integration of the foundational disciplines can develop for students a strong added value compared to the mere sum of skills acquired separately.



Career and Employment

he MSc program in Data Science and Economics aims to train the following professional figures:

  • Data Scientist.
    Functions: Its main functions are to analyze and elaborate forecasts on large data flows, identifying and applying the most appropriate software tools and statistical techniques for their elaboration; create sophisticated models for predictive data-driven analysis. Data Scientist knows the different contexts in which data emerge and can interact with experts from various disciplines.
    Skills: Statistical analysis. Programming. Knowledge of software tools.
    Outlets: small and medium-sized enterprises, startups and public administration
     
  • Data Driven Economist.
    Functions: its main functions are to frame problems of economic analysis in the context of data science by identifying data and technologies that can provide new keys for reading or evaluating economic and social phenomena.
    Skills: Economic theory, statistical and computer techniques.
    Outlets: large companies, public administration and international organizations
     
  • Data-Driven Decision Maker
    Functions: the professions included in this category exercise managerial functions of high responsibility in private and public companies with an international vocation with a strong technological component within it, using data analysis to guide strategic and operational decisions.
    Skills: baggage of theoretical knowledge of an economic-quantitative-IT nature to support organizational decisions and the development of economic institutions and companies.
    Outlets: small and medium-sized enterprises, large companies, public administration
     
  • Analyst of development projects or economic policies
    Functions:
    the professions included in this category contribute to the formulation, monitoring and analysis of development projects or economic policies.
    Skills: the baggage of theoretical and operational notions in the economy, in the business management strategy, and in the economic policies that govern them.
    Outlets: private or public companies in industry, commerce, business services, personal and similar services and in international and / or governmental institutions
     
  • Marketing Analytics Manager
    Functions:
    the professions included in this category exercise functions of identification and supervision of decision-making processes of an operative nature in direct coordination with the company’s executive management.
    Skills: baggage of theoretical knowledge of an economic-quantitative-IT nature to support organizational decisions and the development of economic institutions and companies.
    Outlets: large companies.