Master in Data Science for Economics and Health
Milan, Italy
Master degree
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
STUDY FORMAT
On-Campus
* admission period starts 22.01.2025
Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.
Key Summary
Unlock the Power of Data to Drive Innovation in Economics and Health
The Master’s degree in Data Science for Economics and Health is an advanced, fully English-taught programme that trains students to analyse and interpret complex economic and health phenomena. It combines computer science, mathematics, and statistics, giving hands-on experience with modern data management tools, cloud-based analysis systems, and machine learning techniques.
What You’ll Learn
By the end of the programme, you will be able to:
- master the math, stats and coding tools to tackle real-world economic and health data problems
- analyse, process, and interpret complex datasets using advanced software and machine learning
- build models and algorithms to solve data challenges in business, health, and policy
- critically evaluate data, reports and scientific studies to make informed and evidence-based decisions
- work effectively in teams and interdisciplinary projects
- apply ethical standards, understand data privacy and handle sensitive economic or medical information responsibly.
Why Choose Our Master’s Degree in Data Science for Economics and Health
- 100% taught in English
- A personalised curriculum of studies
- Innovative teaching methods: real-world case studies, workshops, expert-led seminars
- Work with real economic and health data from day one
- Exchange agreements with prestigious European institutions (e.g., double-degree in cooperation with the University of Warsaw)
Programme structure
The Master’s degree in Data Science for Economics and Health is a two-year programme. While compulsory core courses ensure essential knowledge, students can tailor their learning experience by choosing one of three specialised pathways:
- Data Science, which focuses on advanced methods and technologies for data-driven analysis and business applications
- Economic Data Analysis, which offers quantitative tools for economic, policy, and environmental analysis
- Health, which concentrates on medical data analysis and epidemiological evaluation for population health studies
On top of this, 12 ECTS are devoted to the thesis project.
A double-degree option is available, in cooperation with the University of Warsaw, for a limited number of selected students (up to five per year) enrolled in the Data Science or Economic Data Analysis paths, with the first year spent in Milan and the second year in Warsaw.
Graduates of the Master’s degree in Data Science for Economics and Health are equipped with a distinctive combination of advanced quantitative, computational, and analytical skills.
Where Your Degree Can Take You
Everywhere! Literally, you could work all over the world for:
- Big tech and data driven companies that need people who turn massive data into smart decisions
- Fast moving start-ups and innovative scale ups in tech, health, and analytics
- Large corporations across manufacturing, telecom, media, banking, insurance, and utilities
- Consulting firms and economic research organisations shaping business and policy
- Public institutions, national agencies and international organisations that use data for impact
- Healthcare providers, biopharma companies and hospitals
- Research labs
Possible job titles include Data Scientist or Analyst, Policy Analyst, Health Analyst and Data-Driven advisor. Whether you aim to work in economics, health, public policy, or the private sector, the Master’s degree in Data Science for Economics and Health prepares you to turn complex data into meaningful insights. Get ready to build a global career where advanced analytics, data-driven decision-making and real-world impact come together!
Year 1
Compulsory
- Coding for Data Science and Data Management
- Data-Driven Economic Analysis
- Machine Learning and Statistical Learning
- Statistical Theory and Mathematics
Optional activities and study plan rules
- Dynamic Economic Modeling
- Introduction to Biostatistics and Epidemiology
Year 2
Compulsory
- Data Governance: Ethical and Legal Issues
- Privacy, Data Protection and Massive Data Analysis in Emerging Scenarios
- Final Exam
Optional activities and study plan rules
2 - 3 activities among the selected path
Data Science path: 3 courses from the following:
- Advanced Multivariate Statistics
- Bayesian Analysis
- Chemometrics
- Functional and Topological Data Analysis
- Marketing Analytics
- Natural Language Processing
- Network Science
- Organizations, Innovations, and Intelligent Technologies
- Probabilistic Modeling
- Reinforcement Learning
- Scientific Data Visualization
- Time Series and Forecasting
Economic Data Analysis path: 3 courses from the following:
- Advanced Causal Inference and Policy Evaluation
- Advanced Multivariate Statistics
- Applied Climate Economics
- Bayesian Analysis
- Environmental Data Analysis and Policy
- Global and Climate Change Economics
- Natural Language Processing
- Network Science
- Probabilistic Modeling
- Reinforcement Learning
- Scientific Data Visualization
- Time Series and Forecasting
Health path: 3 courses from the following:
- Advanced Biostatistics and Epidemiology
- Advanced Causal Inference and Policy Evaluation
- Advanced Multivariate Statistics
- Bayesian Analysis
- Chemometrics
- Fundamentals of Artificial Intelligence for Data Analysis in Molecular Epidemiology
- Natural Language Processing
- Network Science
- Probabilistic Modeling
- Reinforcement Learning
- Scientific Data Visualization
Optional program year
- Additional Language Skills: Italian
- Transversal Skills
- Internship or stage in companies, public or private bodies, professional orders
- Training and Orientation Internship
Regional Scholarships
Regional scholarships provide both financial support (from a minimum of €1,296 to a maximum of €7,316 ), exemption from the second tuition fee installment and a free daily meal at the university canteen.
These scholarships are awarded through a competitive selection process to students who meet specific merit, income and enrolment requirements, and who are regularly enrolled in a University of Milan programme.
The call for applications is usually published in July. For more information, please visit: Regional scholarships | Università degli Studi di Milano Statale
MAECI Scholarships
Each year, the Italian Ministry of Foreign Affairs and International Cooperation (MAECI) offers scholarships to international students and Italian citizens living abroad (IRE).
These scholarships aim to foster international cooperation in cultural, scientific and technological fields, promote the Italian language and culture, and support Italy’s presence worldwide.
The call for applications and the list of eligible countries are available at: Study in Italy.
European Futures Scholarships
The University of Milan offers 30 scholarships worth €10,000 each to talented students from the European Union who have completed a bachelor’s degree by 31 July and wish to enrol in a master’s degree programme for the 2026/2027 academic year.
The scholarship package includes:
- full exemption from tuition fees
- 30 free places in shared twin rooms in university halls of residence
- participation in the UniMi Ambassadors programme, engaging outstanding students in international promotion activities (e.g., campus tours and webinars)
Applications are open from 5 May to 15 June 2026. The Call and the application link are available here: International scholarships | Università degli Studi di Milano Statale
The University of Milan ranks among the leading institutions worldwide. In the QS World University Rankings 2027, it is ranked 270th globally, confirming its steady progress on the international stage, having gained six positions compared to the previous year despite the increase in the number of universities evaluated.
The University’s excellence is particularly evident in subject rankings. According to the QS World University Rankings by Subject 2026, the University of Milan is placed among the top 50 in Veterinary Medicine and it’s in the top 100 universities worldwide in five disciplines:
- Anatomy & Physiology
- Medicine
- Philosophy
- Pharmacy & Pharmacology
- Sociology
The University also ranks among the top 150 worldwide in several subjects, including:
- Agriculture & Forestry
- Classics & Ancient History
- Law
- Politics & International Studies
- Social Policy & Administration
- Modern Languages
- Dentistry
- Nursing
Moreover, it is placed within the top 200 globally in a broad range of disciplines:
- Archaeology
- Chemistry
- Communication & Media Studies
- Data Science & Artificial Intelligence
- Geography
- Mathematics
- Natural Sciences
- Physics & Astronomy
- Statistics & Operational Research
The University of Milan also stands out for its strong commitment to sustainability, ranking 4th in Italy and 174th globally in the QS Sustainability Ranking—an impressive rise of 45 positions. This achievement highlights the University’s growing impact in addressing key social and environmental challenges, reinforcing its role as a forward-looking and responsible institution.
This advancement reflects a comprehensive strengthening of the University’s sustainability policies. Particularly noteworthy are the results in the Social Impact dimension, which highlight increasingly effective initiatives in inclusion, knowledge exchange, and social responsibility, as well as in Governance, with high standards of transparency, ethics, and institutional accountability.
Overall, these results confirm the University of Milan as a multidisciplinary public institution capable of combining academic excellence, social impact, and a strong commitment to sustainable development.