Università Cattolica del Sacro Cuore

MSc in Applied Data Science for Banking and Finance

Total ECTS: 120

First-year

• IT Coding for Data Science
• Probability and Statistics
• Analytics Accounting
• Data Analysis Techniques and Tools
• Course from the Economic/Legal Area
• Finance and Banking
• Elective Course
• Foreign Language (Italian for international students)

Second year

• Artificial Intelligence and Machine Learning
• Laboratory of Data Analytics for Banking and Insurance
• Laboratory of Data Analytics for Investment
• One course among
• Dynamical Systems in Finance
• Quantitative Finance
  • Dynamical Systems in Finance
  • Quantitative Finance
• Elective Courses
• Internship/Stage
• Thesis

Elective Courses List

• Cloud Computing Technologies
• Laboratory of Artificial intelligence and Machine Learning Application
• Time Series Analysis and Forecasting
• Applied Financial Econometrics
• Sustainable Business Innovation and Finance
• Business Analytics and Data-Driven Decision-Making*
• Cyber Security Regulation*
• Game Theory*
• Quantitative Finance
• Dynamical Systems in Finance

* Economic/Legal area

Degree Awarded: Laurea Magistrale in Applied Data Science for Banking and Finance

The study program is oriented to the following professional careers:

Business Analyst

Data collection, processing, and presentation to support the strategic decisions of a company. The role of a Business Analyst can take place in an independent way within the organization structure or, more likely, about other functions present in the organization (purchases and sales, finance, marketing, internal auditing, …) to provide support in the decision process.

A graduate student will be able to manage the entire process of data analysis, from the preliminary analysis to the requested information to the acquisition of data present in the organization or provided by external sources, their processing, and presentation.

Thanks to the acquired competencies: technical (data retrieval, management, and analysis), relational (synthesis and communications of the main results), and strategical (analysis of the information required to define the company strategies), the graduated student will be able to determine the data analysis areas most relevant concerning the company objectives and with greater potential, manage and analyze databases, design research experiments to support of strategical choices, interacting with other company functions.

As a consultant specializing in in data analysis, the graduate can work for consulting companies offering different services such as an analyst supporting the sales, purchases, and marketing departments within companies working in the business sector.

The graduate will be responsible for auditing for large organizations working in financial intermediation services and acting as a business financial analyst.

Financial Data Scientist

The professional figure is seen as a link and an analytical/interpretative support role of the decisional processes typical of banking and financial intermediaries, operating investing choices, capital allocation, evaluation, credit supply, evaluation, credit supply, and financial coverage based on the evidence of large data samples. The graduate will have technical (data retrieval, management, and analysis) and methodological (planification and organization of actions concerning data management) competencies to tackle challenging tasks within banking companies, financial intermediaries, corporate finance, and Government departments, carrying out the role of company consultant in every banking and financial area.

The Financial Data Scientist is a professional role very attractive to investment companies and funds, financial consultancy companies (in particular the FinTech sector), banking institutions, stock brokerage companies, asset management companies, pension funds, and government agencies. The Financial Data Scientist can work as an independent quantitative financial analyst as well as operate as a freelance consultant.