Data, Technology & Public Health
This two-year master's program prepares students to use data, technology, and advanced analytical methods to address complex challenges in public health and healthcare. Students learn to collect, manage, analyze, interpret, and communicate health data using modern approaches in analytics, informatics, programming, and AI-enabled methods. The curriculum emphasizes the full lifecycle of data-driven public health research and practice, from study design and data wrangling to predictive modeling, interpretation, and communication of findings, with a strong focus on reproducibility and real-world impact.
Applied Learning & Flexible Pathways
The program prioritizes applied learning over theory, giving students hands-on experience with the tools and methods used by today's public health data professionals. In addition to the core public health curriculum, students develop expertise in analytics, data management, informatics, statistical and predictive modeling, and advanced data analysis. Flexible advising pathways in Analytics, Informatics, and Applied AI allow students to tailor their coursework to their interests and career goals. Elective opportunities include clinical research informatics, data science with R and Python, causal inference, statistical consulting, clinical trials, survival and longitudinal data analysis, genomics, and other specialized topics.
Global Health Option
Students may also choose to add an emphasis in Global Health, exploring how data, analytics, informatics, and AI can be applied to improve population health and healthcare systems around the world.
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.
