Public Health Data Science

The Master of Science in Public Health Data Science at the University of Bordeaux is a one-year program designed for in-depth research in public health data. This international course focuses on project design, health data analysis, and effective communication of findings, providing a comprehensive learning experience.

The Master in Public Health Data Science at the University of Bordeaux offers a unique opportunity to delve into the complexities of public health through a data-centric lens. This program is structured to provide a year of intensive research, equipping students with the necessary skills to navigate the evolving landscape of public health data analysis. The curriculum encompasses various aspects, from project design to the practical analysis of real-world health data, ensuring that graduates are well-prepared to address contemporary public health challenges.

Why Public Health Data Science at University of Bordeaux?

The University of Bordeaux is renowned for its commitment to excellence, having been selected as an “Initiative of Excellence” within the French “Investments for the Future” program. This prestigious recognition underscores the university's dedication to providing high-quality education and research opportunities. The program is distinguished by its multidisciplinary approach, integrating epidemiology, informatics, and statistics, which are crucial for understanding and leveraging digital technologies in public health research. Students benefit from state-of-the-art facilities and resources, enhancing their learning experience and research capabilities.

Tuition Fee Breakdown

The tuition fees for the Master in Public Health Data Science are structured as follows:

• International Students: EUR 3,879 per year
• European Students: EUR 250 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to cover essential areas in public health data science, ensuring a comprehensive educational experience. Key components of the syllabus include:

• Research Design: Translating public health issues into research questions and designing appropriate research plans.
• Epidemiology: Understanding the principles of epidemiological research and its application in public health.
• Statistics: Supervised and unsupervised statistical analysis, data mining, and advanced computational statistics.
• Informatics: Data integration architecture, programming, cloud computing, and data security.

Careers with Public Health Data Science

Graduates of the Master in Public Health Data Science are well-equipped to pursue various career paths within the public health sector. They may opt for further academic pursuits, such as a PhD in Digital Public Health, or enter the workforce with robust qualifications. Alumni often find roles as chief data officers or in leadership positions within both public and private sectors, where they apply their expertise in data science to address pressing public health issues.

Courses include:

• Electronic health data

• Digital cohorts

• Web-based data

• Omics data

• Value Creation

• Internship