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Università Cattolica del Sacro Cuore

Cattolica International

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Explore key information about the 2-year MSc degree in Data Analytics for Business at Università Cattolica  

 

The MSc in Data Analytics for Business 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

  • Mathematical Methods and Probability – 8 ECTS 
  • Statistical Inference – 8 ECTS 
  • Applied Linear Models – 8 ECTS 
  • Computational Statistics – 8 ECTS 
  • Database Systems and Computer Programming – 8 ECTS 
  • Principles of Management and Technology Law – 8 ECTS 
  • One elective course from the following: – 8 ECTS 
    • Bayesian Modelling 
    • New Venture Development and Data-Driven Strategy 
  • Theology Seminar (to be completed in Year 1 or Year 2) 

Second Year Courses

  • Statistical Learning – 8 ECTS 
  • Time Series and Spatial Data Analysis – 8 ECTS 
  • Advanced Programming and Deep Learning for AI – 8 ECTS 
  • One elective course from the following: – 8 ECTS 
    • Stochastic Processes and Optimization for Machine Learning 
    • Financial Markets and Institutions 
  • One elective course from the following: – 8 ECTS 
    • Empirical Economics 
    • Marketing Analytics 
    • Data Visualisation and Text Mining 
  • Additional Elective Courses – 8 ECTS 
  • Final Dissertation – 6 ECTS 

Elective Courses List

You can choose from the following 4 ECTS electives: 
  • Internship / Research Assistantship / Field Project 
  • Causal Methods for Policy Evaluation 
  • Strategic Decision-Making 
  • Strategic Equity Transactions 
  • Data-Driven Operations and Supply Chain Management 
  • Logic, Rationality and Decisions 
  • Statistical Methods for Network Data 
  • Experimental Design 
  • Italian Course 

Flexible Study Tracks

You can focus your studies on one of two main paths: 
  1. Data Science Methods 

Recommended electives: 

  • Bayesian Modelling 
  • Stochastic Processes and Optimization for Machine Learning 
  • Empirical Economics or Data Visualisation and Text Mining 
  1. Applied Business Analytics 

Recommended electives: 

  • New Venture Development and Data-Driven Strategy 
  • Financial Markets and Institutions 
  • Marketing Analytics or Data Visualisation and Text Mining 

*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.
Graduates of this programme are ready for careers in data science, analytics, and business intelligence. You will learn how to work with data, create models, and support decision-making in companies across many sectors. 

You can work in: 

  • Data-driven companies in manufacturing, services, finance, insurance, or consulting 
  • Research centres or government agencies using data for policy and planning 
  • Startups and tech firms that focus on data solutions 

Common job titles include: 

  • Data Scientist 
  • Data Analyst 
  • Business Intelligence Analyst 
  • Machine Learning Specialist 
  • Research Assistant or Policy Analyst 

If you are interested in research or teaching, this degree also prepares you to apply for PhD programmes in Statistics, Data Science, or related fields. This can lead to academic careers or roles in research institutions. 

  • Classes start: September 15, 2026 (TBC) 
  • The academic calendar for 2026/27 will be online in July (visit this page). 
  • A Welcome Event is usually held the week before classes begin. Details will be shared in early August. 
International students can join Italian language courses offered by SELDA (Servizio Linguistico d’Ateneo). These courses require a fee. 

 

To contact SELDA: 

  • Use the “Request for Information” form on the iCatt homepage