Biostatistics is an innovative field that involves the design, analysis, and interpretation of data for studies in public health and medicine. Biostatisticians are scientists who play a critical role in all aspects of a scientific investigation.  

At Pitt Biostatistics, students benefit from our internationally known reputation and top 20 ranking compared to all biostatistics programs in the US (currently ranked 13th).  Students gain an understanding of statistical methods related to public health problems as well as the strengths and limitations of various statistical computational procedures for analyzing, processing and interpreting large-scale data sets; work with faculty on developing new and innovative methodologies and analytical techniques; and have the opportunity through both research and service to apply these methods to current problems in biomedicine and public health. 
 

Announcing New MS Concentrations

Public health and medical research is rapidly evolving with changes in technology and access to large quantities of complex high dimensional data. To address these demands of the current job market, Pitt Biostatistics has introduced two new concentrations for the MS degree: Health Data Science (HDS) and Statistical and Computational Genomics (SCG).

Find a research program for your interests

Biostatistics has numerous ongoing collaborative research projects on which students can work directly with faculty for training and experience. Current collaborative projects and areas of methodological research are listed here.

Career Opportunities

Graduates of Pitt Public Health’s internationally recognized biostatistics programs, are in high demand and have a wide array of career opportunities. Emerging research areas, such as genetics, neuroimaging, and bioinformatics, have necessitated the development of new methodologies and increased the demand for trained biostatisticians. Our graduates have gained employment within academic, government, and industry settings, as well as in private health and research organizations.  See our degree pages for more information.

Degrees

The Department of Biostatistics offers the following degrees:

 

An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China

MEDRXIV (2/29/20) -  Pitt Bio...
An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China

MEDRXIV (2/29/20) -  Pitt Biostats' Lu Tang and collaborators from Michigan develop a health informatics toolbox that enables public health workers to timely analyze and evaluate the time-course dynamics of the novel coronavirus (COVID-19) infection using the publicly available data from the China ... (03/25/2020)

Biostats student wins best presentation award

Masters student Eli Lovelace ...
Biostats student wins best presentation award

Masters student Eli Lovelace (BIOS '20) won the Best Presentation award in local Kaggle Competition using the web-based data repository. The Pittsburgh Data Science Meetup Group hosted a Kaggle Competition on February 18, awarding prizes in two categories: most accurate model and best presentation.... (03/13/2020)

BIOS's Buchanich awarded contract with PA Department of Health

Jeanine Buchanich has been aw...
BIOS's Buchanich awarded contract with PA Department of Health

Jeanine Buchanich has been awarded a 3 year $1.2 million contract with the PA Department of Health to evaluate the state's Prescription Drug Monitoring Program as part of the CDC’s Overdose Data to Action cooperative agreement. Evaluations will cover the impact of continuing medical education, firs... (03/13/2020)

2020 Best Poster Presentation - Jason Kennedy

Congratulations to master's c...
2020 Best Poster Presentation - Jason Kennedy

Congratulations to master's candidate Jason Kennedy (BIOS '20) who was awarded Best Poster Presentation at the annual Biostatistics Research Day on February 27 for his work on “The association between clinical phenotype cohesiveness and sepsis transitions after presentation.”  (03/10/2020)

2020 Best Poster Honorable Mention - Qing Yin

Congratulations to doctoral c...
2020 Best Poster Honorable Mention - Qing Yin

Congratulations to doctoral candidate Qing Yin (BIOS '20) who received an honorable mention for his poster presentation at the annual Biostatistics Research Day on February 27 for his work on “Semi-parametric Shape Restricted Mixed Effect Regression Spline with Application on State-Wide Prenatal ... (03/09/2020)