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University of Colorado Denver

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Contact Info:

Concentration Director

Marci Sontag​, PhD
Assistant Professor 
e-mail | 303.724.4430

Admissions

Jennifer Pacheco
Admissions Specialist
e-mail | 303.724.5585 

Current Students

Kari Phillipps, MEd
Assistant Director​
e-mail​ | 303.724.4449

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Master of Public Health

Epidemiology at the University of Colorado Anschutz Medical Campus


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 research, epidemiology is the profession for you.


MPH Epidemiology Curriculum*

Course Course # Credits

Required MPH Core Credits       

   

Applied Biostatistics I **

BIOS 6601/6611* 

Epidemiology 

EPID 6630 

Occupational & Environmental Health 

EHOH 6614 

Social & Behavioral Factors & Health

CBHS 6610 

Health Systems & Management 

HSMP 6603 

Foundations in Public Health 

PUBH 6600 

Required Epidemiology Courses 

   

Applied Biostatistics II **

BIOS 6602/6612* 

Analytical Epidemiology

EPID 6631  
​Biostatistics Lab - SAS ​BIOS 6603** ​1

Min 5 credits from the following: 

   
SAS Database Design and Management​ ​BIOS 6680 ​3
Cancer Prevention and Control​ ​EPID 6622 ​2
Public Health Surveillance​ ​EPID 6624 ​2
Research Method in Epidemiology​ ​EPID 6626 ​3
Clinical Epidemiology​ ​EPID 6629 ​2

Advanced Epidemiology  

EPID 6632 

Communicable Disease Epidemiology  

EPID 6635  

Chronic Disease Epidemiology   

EPID 6636  

Injury & Violence Epidemiology & Prevention  

EPID 6637  2

Cardiovascular Epidemiology   

EPID 6638  1
Genetic Epidemiology​ ​EPID 6639 ​2
Investigation of Disease Outbreaks​ ​EPID 6640 ​2
Genetics in Public Health​ ​EPID 6642 ​2
Introduction to Systematic Reviews​ ​EPID 6646 1​
Clinical Preventive Services: Evidence-Based Practice​ ​EPID 6670 ​2
​Foodborne & Diarrheal Diseases ​EPID 66## ​2
​Pharmacoepidemiology ​EPID 7615 ​​2

General Electives

9

Practicum       

2

Masters Project        

2  

TOTAL PROGRAM CREDITS     

42

*MPH Epidemiology curriculum is updated and published on an annual basis. Returning students are required to complete the approved curriculum in place at the time of matriculation.  Students should review requirements with their advisor or the MPH Student/Faculty Handbook.

**​​The BIOS 6611 and 6612 series (in place of BIOS 6601 and 6602) is recommended for students with a strong analytic background 

​Concentration Competencies
  • Explain the descriptive epidemiology of a given condition, including case definition, calculation of the primary measures of disease morbidity and mortality, and appropriate comparisons by person, place and time.
  • List the strengths and limitations of descriptive studies.
  • Identify data from 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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