MSc in Data Analytics for Business
Milan, Italy
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
25 Jun 2025
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 9,050 / per year *
STUDY FORMAT
On-Campus
* non-EU residents | €6,625 for EU residents per year
Introduction
The Master of Science in Data Analytics for Business is a two-year program designed for students who have a strong interest in data analysis. The Master's program provides students with a solid understanding of Statistics and Computer science, along with domain-specific knowledge in Business.
This program is entirely taught in English and aims at:
- Providing students with advanced knowledge of Statistics and Machine learning that enables building effective models for data analysis, inference, and forecasting and supports the decision-making process
- Providing advanced skills in data management and computer programming for building algorithms suited to implement and deploy statistical methods and data analysis tools in practice
- Combining quantitative skills with business and corporate knowledge to address business challenges, identify new business opportunities, and support the management with data-driven strategies
- Empowering students with data visualization tools, teamwork abilities, and communication skills for an effective presentation and discussion of project results
- Completing the training with real case studies and elements of tech law related to digital technology.
Admissions
Curriculum
Total ECTS: 120
First-Year
- Mathematical Methods and Probability
- Statistical Inference
- Applied Linear Models
- Computational Statistics
- Database Systems and Computer Programming
- Principles of Management and Tech Law
- One Elective Course among:
- Bayesian modelling
- New venture development and data-driven strategy
- Bayesian modelling
- New venture development and data-driven strategy
Second Year
- Statistical Learning
- Time Series and Spatial Data Analysis
- Advanced Programming and Deep Learning for AI
- One Elective Course among:
- Stochastic Processes and Optimization for Machine Learning
- Financial Markets and Institutions
- Stochastic Processes and Optimization for Machine Learning
- Financial Markets and Institutions
- One Elective Course among:
- Empirical Economics
- Marketing Analytics
- Data Visualization and Text Mining
- Empirical Economics
- Marketing Analytics
- Data Visualization and Text Mining
- Elective Courses
- Thesis
Elective courses
- 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
Notes
The curriculum is flexible to encourage students to pursue their interests.
For instance, two broad study tracks are:
i) Data science method and
ii) Applied business analytics.
For track i) the recommended choices are:
- Bayesian Modelling
- Stochastic Processes and Optimization for Machine Learning
- Empirical Economics or Data Visualization and Text Mining
For track ii) The recommended choices are:
- New Venture Development and Data-Driven Strategy
- Financial Markets and Institutions
- Marketing Analytics or Data Visualization and Text Mining
Program Outcome
Degree Awarded: Laurea Magistrale in Data Analytics for Business
Program Tuition Fee
Career Opportunities
The Master of Science in Data Analytics for Business opens up several career opportunities. Graduates will master methods and tools to become Data scientists and Data analysts within data-driven companies across a variety of industries, such as manufacturing, services, finance, insurance, and consulting.
Suitable graduates may also pursue research-oriented careers by enrolling in Ph.D. programs in Statistics, Data Science, or related areas, leading to jobs in academia as well as research centers.