The Master in Global epidemiology: advancing health with AI and one-health perspectives (GIAHE) trains highly qualified professionals to tackle complex global healthcare challenges through an innovative and multidisciplinary approach. It provides the skills to analyse health determinants, manage healthcare inequalities and plan targeted and effective interventions.
This outstanding curriculum provides a practical and research-oriented approach, preparing professionals to react promptly and effectively to global healthcare emergencies, and develop innovative strategies to prevent and monitor diseases, while taking into account the interconnection between human, animal and environmental health.
Based on an international faculty, real case studies and new technologies, the Master trains leaders and innovators, capable of promoting sustainable solutions for global well-being.
The Master in Global epidemiology: advancing health with AI and one-health perspectives (GIAHE) trains professionals capable of tackling the global health challenges, by integrating advanced epidemiological methods, the use of AI and the interdisciplinary One-Health approach.
The program develops the right skills to analyse healthcare inequalities, plan innovative interventions and react to global emergencies. Furthermore, it trains leaders capable of integrating human, animal and environmental health in sustainable solutions for the future of public healthcare.
The course is provided only online and on-demand, to offer students the greatest flexibility. The course ends with a project work focused on one of the topics covered during the Master, and discussed before a special committee that will grade the dissertation.
The Master in Global epidemiology: advancing health with AI and one-health perspectives (GIAHE) trains highly qualified professionals, capable of tackling global healthcare challenges through an innovative and multidisciplinary approach.
At the end of the course, professionals will gain advanced knowledge in epidemiology, AI and One-Health, and the ability to analyse the interactions between human, animal and environmental health. Moreover, they will be capable of developing scientific-based healthcare policies to tackle global challenges such as epidemics and climate change. Lastly, they will know how to work in interdisciplinary teams, make critical decisions and adapt quickly to technological innovations, thus improving the global public healthcare sector.
The Master in Global epidemiology: advancing health with AI and one-health perspectives (ENHANCE) provides in-depth knowledge on the following topics:
Module 1 – EPIDEMIOLOGY NOTIONS
Historical and theoretical fundamentals, descriptive and analytical epidemiology, disease dissemination and risk factors. Main studies and investigations on epidemic outbreaks. Focus on epidemiology of chronic diseases and on epidemiologic surveillance methods. This module provides information on how to monitor, prevent and manage diseases on a global scale.
Module 2 – QUANTITATIVE AND BIOSTATIC METHODS
Statistical epidemiology data analysis methods. Descriptive statistics, inference and advanced models for epidemiologic analysis. Hands-on tutorials on statistical software, such as R and Python. This module provides information on how to solve complex epidemiology issues.
Module 3 – GLOBAL HEALTH
Main global healthcare issues, disease load, distribution and global impact. Social and economic determinants of healthcare inequalities. Focus on environmental and planetary health, impact of ecological issues on human health. Healthcare emergency trends, including pandemics and reaction to global crises.
Module 4 – ONE-HEALTH APPROACH
Integration between human, animal and environmental health. Analysis of zoonotic diseases, antimicrobial resistance, food safety and sustainability. Analysis of One-Health healthcare policies and strategies to tackle any related health issues.
Module 5 – ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN EPIDEMIOLOGY
Artificial Intelligence (AI) and Machine Learning (ML) to prevent, monitor and foresee diseases and their diffusion, with identification of the risk factors. Insight on predictive models, bias, privacy and ethical implications.
Module 6 – ADVANCED BIOSTATISTICS
Advanced statistical analysis techniques applied to epidemiology. Analysis of hierarchical data and machine learning for predictive analysis. Hands-on tutorials with advanced software, such as R and Python. This module provides information on how to solve complex multidimensional issues in the global epidemiology field.
Module 7 – ONE-HEALTH
Integration between human, animal and environmental health, case studies on zoonosis, antimicrobial resistance and food safety. One-Health framework principles and global political strategies. Virtual labs to simulate cross-cutting interventions and complex scenarios and develop sustainable and innovative solutions to global health challenges.
Module 8 – RISK ANALYSIS AND SUMMARY OF EVIDENCE
Techniques to identify, evaluate and mitigate health risks. Use of meta-analysis, systemic revisions and evidences for policy-making. Use of advanced data analysis and evidence summary software. Practical sessions and real case studies for a hands-on learning approach.
This international Master, on its first edition, has been organized in partnership with the National Department of Public Health of the University of Antioquia (Colombia) to train specialists who can understand and analyse the dynamics of the interactions between human, animal and environmental health.
Professors in the Master faculty come from both the University of Antioquia and the University of Padua, to offer students an international and interdisciplinary perspective.
The general ranking of merit for the academic year 2025/26 will be published on the Italian page of this Master according to the timing provided in the Call.
Information
FAQ
Admission to the Master is based on degrees only. The methods are described on the Master’s participation form, available on the website of the University of Padua.
- Fee waiver for attendees with a disability
Any attendees with a certified disability and invalidity between 66% and 100%, or those holding the relevant certification, pursuant to Law 104, shall not be required to pay the enrolment fee. They will be required to pay only the pre-enrolment and insurance fees, plus any stamp duties. - PA110 and students who graduated with honours
PA employees enrolling in the Master will benefit from a €330 discount on the second enrolment fee. - University staff
University staff may enrol in the course even in the case of supernumerary quota, in order to allow for their ongoing education. The enrolment fee for the University technical-administrative staff is equal to 20% of the fee required. If the technical-administrative staff possesses the requirements to enrol in the Course, they will obtain the related Diploma or Certificate upon its completion; if they do not possess the admission requirements, they may be admitted as auditors and be entitled to a participation certificate - Enrolment fee for auditors
The enrolment fee for auditors is equal to 50% of the course enrolment fee. At the end of the course, the auditors who complied with the minimum attendance threshold will be entitled to a participation certificate issued by the Course Director.
The Master’s attendance is required and the minimum threshold to obtain the title and the certificate of attendance is 70% of online lessons.
The Master does not provide for any internships, only a project work on one of the topics covered during the Master. The dissertation will be discussed online, before an assessing committee.