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University of Colorado Denver


Master of Public Health


Epidemiologists describe trends and risks for health and provide the base data for preventive approaches in public health. Through surveillance, screening, data and intervention programs, epidemiologists are needed to determine disease risk factors and evaluate the effectiveness of prevention and treatment of diseases.

In the Colorado School of Public Health’s Master of Public Health program in Epidemiology, you’ll be trained in epidemiologic study designs, statistical analysis and the biological principles underlying human diseases. Epidemiology students utilize their training to implement epidemiologic surveillance and research studies, providing evidence-based information to promote health and prevent disease and injuries.

With an MPH in epidemiology, you can work in a wide variety of settings, including international health agencies, state and local health departments, federal government agencies, academia, and numerous research institutions. The epidemiology concentration also provides physician training for the Preventive Medicine Residency Program.

If you’re interested in being a part of the cornerstone of public health, epidemiology is the profession for you.



Concentration Requirements - Epidemiology (for students matriculating Summer 2014 or later)

 Students matriculating prior to Summer 2014MPH_track_in_Epidemiology_for_students_matriculating_summer_or_fall 2013.docMPH_track_in_Epidemiology_for_students_matriculating_summer_or_fall 2013.doc
Course Course # Credits

Required MPH Core Credits


Applied Biostatistics I*

BIOS 6601/6611


Epidemiology EPID 6630 3
Occupational & Environmental Health EHOH 6614 3
Social & Behavioral Factors & Health

CBHS 6610


Health Systems & Management ^ HSMP 6601 3

Foundations in Public Health

PUBH 6600


Required Epidemiology Courses


Analytical Epidemiology

EPID 6631


Applied Biostatistics II* BIOS 6602/6612 3

SAS Database Design & Management in SAS

BIOS 6680


Research Methods in Epidemiology EPID 6626 3

General Electives**


Methods-Oriented Electives

BIOS Lab-SAS BIOS 6603 1
Clinical Epidemiology*** EPID 6629 2
Advanced Epidemiology EPID 6632 3
Clinical Preventive Services: Evidence-Based Practice EPID 6633 2
Introduction to Systematic Reviews*** EPID 6646 1
Investigation of Disease Outbreaks*** EPID 6640 2
Research Methods with Secondary Data Sources EPID 7605 3
Genetic Epidemiology EPID 7640 2
Topic-Oriented Electives
Cancer Prevention & Control*** EPID 6622 2
Communicable Disease Epidemiology EPID 6635 2
Chronic Disease Epidemiology EPID 6636 3
Injury and Violence Epidemiology and Prevention*** EPID 6637 2
Global Cardiovascular Epidemiology*** EPID 6638 2
Epidemiology of Foodborne & Diarrheal Diseases***
EPID 6641 2
Genetics in Public Health*** EPID 6642 2
Public Health Surveillance*** EPID 6624 2
Epidemiology of TB/HIV/STDs EPID 6643 2
Maternal Child Health Epidemiology EPID 6644 3
Global Health & Disaster EPID 6670 2
Applied Global Health Epidemiology EPID 6634 2
Pharmacoepidemiology*** EPID 7615 2
Environmental & Occupational Epidemiology EHOH 6617 2



Master's Project




^ Prior to Spring 2015 this core course was listed as HSMP 6603

*BIOS 6611/6612 series is recommended for student with calculus.
**Students can take up to 8 credits of elective courses
***Course offered every other year

Concentration Competencies

  • Explain the descriptive epidemiology of a given condition, including case definition, calculations of the primary measures of disease morbidity and mortality, and appropriate comparisons by person, place, and time.
  • List the strengths and limitations of descriptive statistics.
  • Identify data frome existing local, national or international sources.
  • Describe study designs and understand the advantages and limitations of each design for addressing specific problems, as well as the practical aspects of their uses, including trade-offs.
  • Identify and minimize sources of bias; describe both the direction and magnitude of the bias and the effect of potential biases on the measures of association.
  • Use statistical computer packages to calculate and display descriptive statistics, analyze categorical data, and perform multivariable regression, and other analyses as required.
  • Examine data for the presence of confounding and interaction (effect modification), identify their presence, and manage them appropriately.
  • Interpret research results, make appropriate inferences based on results, and recognize the implications of the research results.

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