This two-year master's program trains students to apply analytic methods and statistical reasoning to identify, investigate, and address challenges in public health and medicine. Students in the program learn to use statistical measures and effective information management practices to collect, manage, protect, analyze, interpret, and present health data. The curriculum emphasizes all stages of research with a focus on reproducibility, from study design through data analysis and interpretation of results.
The program prioritizes the applied aspects of biostatistics rather than the theoretical foundations. In addition to the public health core areas, students take courses in biostatistical methods, data analysis, and public health data management. They also have the opportunity to select from a variety of elective courses, such as clinical trials, longitudinal and survival analysis, statistical consulting, statistical genetics and genomics, and analytic epidemiology.
An optional emphasis on global public health allows students to explore the application of biostatistical principles in a global context.
This two-year program emphasizes the applied and theoretical nature of biostatistics. In addition to courses in theory, statistical computing, consulting, analysis of clinical trials, and longitudinal and survival data, students will be exposed to a wide variety of research areas including statistical genetics and genomics, causal inference, infectious disease, and cancer research. During the program, students will also carry out research with a faculty mentor during the required thesis or research paper. This program is well-balanced between theory, methods, and hands-on practical and research experiences and is a great fit for students interested in working as biostatisticians or pursuing a PhD. All MS coursework is required for the PhD.
Many MS students are supported through research or teaching assistant positions. These positions are competitive and offer opportunities for training and experience in research, teaching, and practice in biostatistics. Through these positions, students gain real-world research and collaborative experience on a large and active health sciences campus.
This program prepares you for advanced study and research in biostatistics. It's ideal for students with a strong background in mathematics and statistics who are interested in applications in health care and biological settings. If you have an MS in Biostatistics or a related field, the program can be completed in three to four years, with most of the first one to two years devoted to coursework and most of the later years to research and writing a dissertation. Research and dissertation work involves developing, comparing, and evaluating statistical methods that are typically motivated by an application in healthcare or biology. Many PhD students are supported by research or teaching assistant positions. Graduates from this program pursue careers in which they teach, carry out research develop new statistical methods, and hold leadership positions in designing studies and analyses.
This 15-credit certificate provides graduate training in analytic methods and data science for healthcare professionals and researchers. Students will focus on analytic methods for large and complex data in areas like ‘omics, imaging, electronic health records, and mobile health, and receive training to meet the increasing demand for knowledge and skills in data science analytics in health research, private industry, and government.
This 15-credit certificate provides graduate training in applied biostatistics for health care professionals and others interested in expanding their analytic knowledge and skills to meet the increasing demand for biostatistical expertise in the campus, statewide, and national workforce.
