The MS in Biostatistics at Tulane University equips you with the essential statistical methodologies required for analysing health and biological data. This postgraduate degree is ideal for aspiring data scientists and researchers who aim to apply advanced statistical theory to real-world public health challenges. You will gain a comprehensive understanding of statistical inference, regression analysis, and experimental design, preparing you to tackle complex problems in epidemiology and beyond. This program provides a robust foundation for a career dedicated to advancing health outcomes through rigorous data analysis.
You will study this programme full-time on campus over two years, completing 42 credits of coursework and a Master's thesis. Your curriculum includes core biostatistics courses such as Statistical Inference, Regression Analysis, and Categorical Data Analysis, alongside foundational public health and epidemiology modules. You will also select 12 credits of elective courses, allowing you to tailor your studies to specific interests. Throughout your degree, you will work closely with faculty advisors to develop and complete a supervised research project for your thesis, graduating with the analytical skills sought by academic institutions and health-focused organisations.