
The Biostatistics in the Age of Artificial Intelligence program at the University of Michigan addresses the increasing intersection of statistical methods and advanced AI technologies within health and medicine. This program emphasizes that while AI is powerful for pattern recognition in large datasets, biostatisticians are crucial for ensuring its responsible and ethical application in healthcare. Students will learn to provide the necessary guardrails for AI, focusing on study design, causal inference, uncertainty quantification, and the ethical application of algorithms. The curriculum integrates traditional biostatistical methods with modern machine learning approaches, preparing graduates to tackle complex biomedical problems using tools like R and Python, and to work with high-dimensional data from genomics, imaging, and electronic health records. The program is situated within a university environment that is a leader in generative AI research and implementation, providing students with early access to secure AI tools and fostering a culture of responsible innovation.
The curriculum combines fundamental biostatistical principles with cutting-edge AI and machine learning techniques, preparing students for the evolving landscape of health data analysis. Students will develop proficiency in statistical computing, data science, and high-dimensional data analysis, while also learning to create interpretable and trustworthy models.
Graduates of this program are well-positioned to bridge the gap between advanced AI algorithms and the practical needs of medicine and public health. They will be equipped to shape the future of health data analysis with both technical skill and ethical insight, ensuring that AI drives positive change in healthcare.
Specific academic and English language proficiency requirements are not detailed on the provided pages. Prospective students are advised to check the official admissions website for precise criteria.
Tuition and fees are subject to change. Mandatory fees of $241.19 (Full Term) or $121.10 (Half Term) are additional. These figures are based on the 2025-26 academic year. Visit the Office of the Registrar for the most up-to-date information.
For Fall 2025 and Winter 2026, full-time non-resident tuition is $30,685 per term (Fall & Winter combined). Half-term (Spring & Summer) full-time tuition is $17,030 per term. Mandatory fees are additional and subject to change.
The program is structured over two years, with Year 1 focusing on core statistical computing, data science, and interpretable models. Further details on Year 2 curriculum are not specified.
Applicants need a Bachelor's Degree with a strong undergraduate record in a relevant field. Specific English language proficiency scores for IELTS or TOEFL are not provided.
Graduates can pursue roles such as Biostatistician, Data Scientist, AI Specialist in Health, Health Data Analyst, or Epidemiologist, bridging AI and healthcare.
Detailed application steps and deadlines for international students are not provided. Prospective students should consult the University of Michigan School of Public Health admissions section for comprehensive information.