Department of Biostatistics & Informatics

Degrees and programs

MPH in Applied Biostatistics (+ global health option)

Program location: CU Anschutz

This two-year master's program will train you to apply analytic methods and statistical reasoning to characterize, investigate, and address problems in public health and medicine. As a student in this program, you'll learn to use statistical measures and good information management practices to collect, manage, protect, analyze, interpret, and present health data. You'll learn about all stages of research, starting with study design up through data analysis and interpreting results, all with an emphasis on reproducibility. This program focuses on the applied nature of biostatistics and less on the theory behind it. In addition to the public health core areas, you'll take courses in biostatistical methods, data analysis, and managing public health data. You'll also get to choose from a variety of elective courses, like clinical trials, longitudinal and survival analysis, statistical consulting, statistical genetics and genomics, and analytic epidemiology. And if your interests are bigger than one country can contain, we offer the option to add an emphasis in global public health, where you’ll learn how to apply biostatistical principles in the global arena.

MS in Biostatistics

Program location: CU Anschutz

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, you'll be exposed to a wide variety of research areas including statistical genetics and genomics, causal inference, infectious disease, and cancer research. During the program, you’ll also carry out research with a faculty mentor during the required MS 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/PhD 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.

PhD in Biostatistics

Program location: CU Anschutz

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. In 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 your dissertation. Research and dissertation work involves developing, comparing, and evaluating statistical methods (e.g. methods for analyzing data) that is typically motivated by an application in health care or biology.​ PhD students are supported by research or teaching assistant positions. Many students in this program continue on to careers where they teach and carry out research developing new statistical methods as independent investigators or key collaborators, taking the lead in designing studies and analyses.

Program location: CU Anschutz

This 15-credit certificate provides graduate training in analytic methods and data science for healthcare professionals and researchers. You'll focus on analytic methods for large and complex data in areas like ‘omics, imaging, electronic health records, and mobile health, and get training to meet the increasing demand for knowledge and skills in data science analytics in health research, private industry, and government.

Program location: CU Anschutz

​​​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.

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