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University of Colorado Denver

 

Master of Public Health - Applied Biostatistics


The Master of Public Health in Applied Biostatistics (MPH-AB) program is designed for students wanting a broad education in the field of public health, augmented with specialization in biostatistics and informatics.  In addition to coursework in four other core areas of public health, students are exposed to a variety of commonly used statistical methods as well as their application in public health and medical research.  Coursework, a practicum, and a capstone project provide experience with design, collection, management, analysis, interpretation and presentation of health data.

Graduates look forward to rewarding careers in local, state and federal agencies, health and medical centers, pharmaceutical companies and research institutions, working in areas such as heart and lung disease, cancer, dental health, genetics, and infectious diseases, among others. This degree targets public health workers and researchers wishing to strengthen their analytic skills, and is particularly useful in combination with a previous research degree or experience.  Students with strong skills, training and interest in mathematics and a desire to work primarily as biostatisticians in health care and biological settings should consider the MS in Biostatistics program.

 


MPH Applied Biostatistics Curriculum 

  COURSE COURSE # CREDITS
Required MPH Core Credits    
Applied Biostatistics I BIOS 6601 or 6611 3
Epidemiology EPID 6630 3
Occupational & Environmental Health EHOH 6614 3
Soc​ial & Behavioral Factors & Health CBHS 6610 3
Health Systems & Management HSMP 6603 3
Foundations in Public Health PUBH 6600 2
Required Concentration Courses    
Applied Biostatistics II BIOS 6602 or 6612 3
Advanced Data Analysis BIOS 6623 3
SAS Database Design & Management BIOS 6680 3
Minimum of 3 Credits from the following:
Statistical Consulting I BIOS 6621 1
Statistical Consulting II​ ​BIOS 6622 1​
Applied Survival and Longitudinal Analysis​ BIOS 6629​ 3​
Design of Clinical Trials BIOS 6648 3
Statistical Methods in Genetic Association Studies BIOS 6655 3
Analytical Epidemiology EPID 6631 3
Statistical Theory I BIOS 6631 3
Research Methods in Epidemiology EPID 6626 3
Electives 9
Practice Based Learning:
Practicum 2
Capstone Project 2
Total Program Credits 42
​​Concentration Competencies​
  • Select and apply appropriate biostatistical methods and applications to support research and evaluations in the core areas of public health research and practice, including: epidemiology, environmental and occupational health, community and behavioral health, and public health systems management, policy and outcomes research.
  • Translate a study’s scientific question or aims into testable statistical hypotheses and propose and apply appropriate statistical methods to test those hypotheses.
  • Test and interpret models for continuous outcome data (normal linear model), categorical outcome data (logistic and Poisson regression), and time-to-event data (Cox regression).
  • Demonstrate knowledge of the issues of bias, error, confounding, effect modification, sampling, and generalizability and how they relate to the interpretation of study results.
  • Carry out appropriate sample size and power calculations to ensure that a study is sufficiently powered to achieve the scientific aims or addresses a specific research hypothesis.
  • Use computer software for data entry and data base management and for summarizing, analyzing and displaying research results.
  • Design data collection forms and data entry, editing, management, and quality control procedures.
  • Incorporate knowledge of the basic ethical and legal issues involved in the collection, management, use and dissemination of biomedical and epidemiologic data.
  • Critically review and interpret the scientific and statistical methods presented in public health and medical literature to identify strengths and weaknesses, and identify potential biases in these studies.
  • Apply underlying scientific and statistical principles and methods to design, plan, and conduct a variety of public health and biomedical studies including cohort, case control, cross-sectional, and clinical trials.
  • Use the principles of hypothesis testing and estimation of population parameters to draw inferences from quantitative data and communicate (verbally and in writing) those inferences and their statistical and scientific interpretation to nonstatistical scientists.
  • Address a biomedical, public health or statistical research question with a major statistical analysis or simulation study using advanced statistical methods.
  • Support behavioral science research specifically in survey study design, designing surveys, analyses and interpretations.
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