At the Colorado School of Public Health you can train in the high-demand field of biostatistics on the region's premier health sciences campus - the University of Colorado Anschutz Medical Campus.
Offered through the CU Denver Graduate School and Colorado School of Public Health, the master of science in biostatistics exposes students to a wide variety of studies and research interests including longitudinal data, statistical genetics and genomics, clinical trials, infectious disease, and cancer research. During the program, all students carry out research with faculty during the required MS thesis or research paper. To see the wide range of projects undertaken by our students, you can review our previous thesis titles.
The program targets students with strong skills and training in mathematics with the interest to apply math in health care and biological settings. Students pursuing the MS look forward to rewarding careers in academia, research, public health and private industry. Potential positions include design and analysis of health studies, clinical trials, drug development and public health studies.
The program is well balanced between theory, methods, and practical and research experience. Coursework includes: applied and theoretical statistics; statistical computing; consulting; analysis of clinical trials; longitudinal and survival data; as well as production of a research paper or thesis. Please note this program requires 3 semesters of recent calculus (e.g., Calculus I-III offered from a math or engineering department), and linear algebra with a preference for grades of B+ or higher, an introductory statistics or biostatistics course, and exposure to some statistical software (e.g., R, SAS). Students interested in a less mathematical program with broader exposure to Public Health should consider the MPH in Applied Biostatistics.
We offer two areas of specialization within the MS. Students interested in specializing in statistical methods in genomics and genetics can consider the MS Minor in Statistical Genomics/Genetics. Students interested in specializing in the generation, analysis and interpretation of large data sets can consider the MS Minor in Data Science Analytics.
The MS Biostatistics program is designed to be completed in 2 years by full time students. Many MS students are supported through Research or Teaching Assistantship positions. These positions are competitive, and offer opportunities for training and experience in research, teaching and practice in Biostatistics. During the past several years more than half of MS students were supported in some way upon entry to the program, and all students were supported in research positions by the end of their first summer. Through these positions students gain real-world research and collaborative experience on a very large and active health sciences campus. This practical experience is a major strength of our program.
Biostatistics MS and PhD Program Handbook
MS Biostatistics Curriculum Checksheet
|Required Biostatistics Courses (20 credits)
||Biostatistical Methods I
||Biostatistical Methods II
||Statistical Consulting I
||Statistical Consulting II
||Advanced Statistical Methods and Analysis
||Statistical Theory I
||Statistical Theory II
||Longitudinal Data Analysis
|Required Public Health Courses (6 Credits)
Foundations in Public Health
Public Health Concepts
|Elective Biostatistical Courses (6 credits from this list)
(courses not listed require director approval; Ph.D electives (see Ph.D webpage) may be used with director approval)
||R for Data Science
||Introduction to Python Programming
||Design of Studies in Health Sciences
||Analysis of High-throughput Data
Total Program Credits
(Curriculum is subject to change annually)