Training Objective
To train a group of professionals with innovative skills who can participate in solving problems related to preserving and restoring human health, or preventing the deterioration of chronic conditions, using modern data science approaches. Our expert team aims to ensure that data-driven healthcare and artificial intelligence
solutions evolve into system-level capabilities in Hungary.
Training Program
Name of the master’s program: Data Science in Health.
A 120-credit master’s program, launched for the first time in autumn 2024.
Mode of study: part-time, correspondence.
Degree awarded: Data Scientist in Health.
Funding: state-funded and self-funded study options.
Self-funded tuition fee: HUF 780 000 per semester.
Duration: four semesters.
Teaching schedule: Classes are delivered in subject-based blocks on pre-
scheduled weekdays, from 9:00 to 16:00.
Language: The program is delivered exclusively in Hungarian.
Location: Education takes place in the building of the Semmelweis University Faculty of Health and Public Services Health Services Management Training Centre located in Budapest (1125 Budapest, Kútvölgyi út 2.).
Program Description
Graduates of the program acquire innovative skills applicable in both public and private healthcare. These skills are essential for analyzing, interpreting, planning, and evaluating health interventions, healthcare programs, services, and practices using data-driven methods. Graduates will be able to design, implement, and operate data processing, analytical, and decision-support systems tailored to specific health-
related problems.
The program supports the development of these skills through a predominantly practice-oriented curriculum, combining data-driven healthcare expertise with IT and mathematical knowledge.
A key component of the program is the practical training, including lab-based project work, during which participants examine data-driven solutions to complex healthcare problems.
Target Group
We welcome physicians, pharmacists, healthcare professionals, IT specialists, and data scientists who wish to contribute to shaping data-driven healthcare. The program integrates health science, mathematics, and informatics knowledge, and primarily expects applicants with backgrounds in medical and health sciences, informatics, or natural sciences. However, it also offers an excellent opportunity for graduates from other fields – such as law or economics – to expand their knowledge.
Training Objectives
• Building professional competencies and human capacity to support the development of data-driven healthcare through specialized data science education.
• Breaking down the silos between medical/health and IT/data science professions, facilitating effective collaboration.
• Supporting the practical application of data science and artificial intelligence in healthcare.
• Enabling the solution of real-world problems during the training.
• Preparing graduates for continuing their studies in doctoral programmes.
Programme Director: Dr Tamás Joó
Programme Coordinator:
Rita Kóródi
Email: korodi.rita@emk.semmelweis.hu