24 monthsProgramme duration
156 EURTuition Fee/year
OctStarting Month
Programme overview
Main Subject
Economics and Econometrics
Degree
MA
Study Level
Masters
Study Mode
On Campus
Overview
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.
For further details, visit the University’s website.
Career Opportunities
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!
Programme overview
Main Subject
Economics and Econometrics
Degree
MA
Study Level
Masters
Study Mode
On Campus
Overview
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.
For further details, visit the University’s website.
Career Opportunities
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!
Admission Requirements
Entry Qualification:
Undergraduate diploma (or higher)
No matter the first-cycle degree (i.e. a Bachelor’s degree) they hold, all applicants must have earned at least 30 credits ( ECTS ) in certain basic study fields covered by the degree programme, namely computer science and mathematics, economics and statistics, medical statistics .
All applicants must take an online admission test assessing their background knowledge. The test will be in English. Applicants who do not take the test or do not achieve the minimum score required by the Admission Board will not be further evaluated.
Those who pass the test will then have their academic and professional CV assessed by the Admission Board, who might request an additional online interview .
All applicants will be informed of the outcome of their application as soon as possible. Please bear in mind that reply times may vary depending on the number of applications received.
For further details, visit the University’s website.
The entry qualification documents are accepted in the following languages: English / German / French / Spanish / Italian.
Please note that we only accept official translations (either issued by your former higher education institution or carried out by a certified or sworn translator).
Language Requirements:
English
A B2 or higher level of proficiency in English is required for admission.
How to Prove Your English Proficiency
- If you have a language certificate accepted by the University, just attach it to your application for admission. Please note that the University accepts only certificates obtained in the last 3 years (2 years for TOEFL ).
- If you don’t have a language certificate or if you are a native speaker, the University will send you an email and invite you to take an English entry test. The test is free of charge and can also be taken remotely.
If you miss or fail the English entry test, you will still have a chance to be cleared for admission, by submitting a B2 language certificate accepted by the University before the applicable deadline.
List of language certificates accepted by the University.
Tuition fees
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