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Università Cattolica del Sacro Cuore

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Explore key information about the 2-year MSc degree in Artificial Intelligence for Banking and Finance at Università Cattolica  

 

The MSc in Applied Data Science for Banking and Finance is a two-year programme.  

Each course includes ECTS credits (European Credit Transfer System).  

You can find full course syllabi on the university website by selecting the academic year, campus, and Faculty. 

First Year Courses

  • IT Coding for data science - 12 ECTS 
  • Probability and statistics - 6 ECTS 
  • Analytics accounting - 6 ECTS 
  • Data Analysis Techniques and Tools - 6 ECTS 
  • Course from the economic/Legal area - 6 ECTS 
  • Finance and banking - 12 ECTS 
  • Elective course - 6 ECTS 
  • Foreign language (Italian for international students) - 6 ECTS 
  • Seminar on theological issues (in Y1 or Y2) 

Second Year Courses

  • Artificial intelligence and machine learning - 6 ECTS
  • Laboratory of data analytics for banking and insurance - 6 ECTS
  • Laboratory of data analytics for investment - 6 ECTS
  • One course among - 6 ECTS:
    • Dynamical systems in finance
    • Quantitative finance
  • Elective courses - 12 ECTS
  • Internship/Stage - 6 ECTS
  • Final dissertation - 18 ECTS

Elective courses list

  • Cloud computing technologies - 6 ECTS 
  • Laboratory of Artificial intelligence and Machine learning application - 12 ECTS 
  • Time series analysis and forecasting - 6 ECTS 
  • Applied financial econometrics - 6 ECTS* 
  • Sustainable business innovation and finance - 6 ECTS* 
  • Business analytics and data-driven decision making - 6 ECTS* 
  • Cyber security regulation - 6 ECTS* 
  • Game theory - 6 ECTS* 
  • Quantitative finance - 6 ECTS 
  • Dynamical systems in finance - 6 ECTS 

 

*Theology Seminar

Theology courses are seminars in religious studies that explore religious and ethical topics from an academic and cultural viewpoint, promoting thoughtful discussion across diverse traditions.
This programme prepares students for two main career paths: 

Business Analyst 

Business Analysts help companies make better decisions by using data. They collect, organise, and present information to support business goals. Graduates learn how to: 

  • Manage and analyse data 
  • Work with teams in finance, marketing, and sales 
  • Design research methods to understand trends 
  • Communicate insights across departments 

Many Business Analysts work in consulting, supporting different departments or acting as auditors for large companies. 

Financial Data Scientist 

Financial Data Scientists use advanced analytics to guide decisions in banking and finance. They work in areas such as: 

  • Investment and risk management 
  • Credit scoring and capital planning 
  • Forecasting and market analysis 

Graduates gain strong skills in data analysis, planning, and problem-solving. They are in demand at banks, FinTech companies, investment firms, and government bodies. Some also work independently as quantitative analysts or freelance consultants. 

  • Classes start: September 29, 2026 (TBC) 
  • The academic calendar for 2026/27 will be online in July (visit this page).