Academics

Math equations being written on a whiteboard during a biostatistics class.

Our programs combine a strong theoretical statistical framework with applied training in biostatistics, including bioinformatics, public health informatics, data analytics, big data techniques, basic science research, translational research and clinical experiments.

Degree Programs

  • 3/8/17
    Learn how to incorporate the study and use of statistical methods and theories across a variety of disciplines.
  • 6/7/19
    Advance your training in statistical theory, methods and applications to help prepare for the pursuit of a doctoral degree or direct entry into the workplace.
  • 11/19/18
    Advance your training in statistical theory, methods and applications.
  • 6/28/18
    Advance your training in statistical theory, methods and applications to help prepare for the pursuit of a doctoral degree or direct entry into the workplace.
  • 7/2/19
    Gain foundational public health knowledge and competencies employers seek, and learn applied statistical methods.
  • 1/22/18
    Contribute new discoveries to the discipline of biostatistics through original, independent research.
  • 2/28/19
    Advance your statistical knowledge and programming techniques to better analyze data from a variety of sources, including clinical trials, observational studies and laboratory research.
  • 6/27/18
    Develop your knowledge and skills in biostatistical informatics: the study of high-dimensional data in biomedical and public health research.
  • 9/19/18
    The University at Buffalo proposes a new Doctor of Philosophy (PhD) degree program in Computational Data Science and Engineering (CDSE) to train scientists and engineers to lead in these disciplines.

Resources