MS

PITT2PITT

“Expand your  credentials to prepare for the job market.”

Do you want to improve your skills to become more competitive in this challenging job market? Consider applying to the biostatistics master's program at Pitt Public Health.   

Under the Pitt2Pitt program, Pitt students graduating this term can take advantage of streamlined admissions and scholarships.

Space in these programs is limited, so contact our admissions team soon with your questions and to request your Pitt2Pitt application fee-waiver code:

Karrie Lukin
Recruitment and admissions manager
presutti@pitt.edu

Master of Science in Biostatistics

The MS in Biostatistics is an academic degree program for students with a background in calculus and a strong interest in public health. The program emphasizes statistical theory and methods so that students are prepared to be effective statistical collaborators in interdisciplinary studies; and lead the design and execution of studies.  

In addition to the main biostatistics master's curriulum, the department now offers concentrations in:

Careers

Recent graduates hold the following positions:

  • Opioid compliance specialist, Georgia Dept. of Public Health
  • Actuarial analyst, Highmark Health
  • Biostatistician, Ichan School of Medicine at Mt. Sinai
  • Statistician, Mayo Clinic
  • Business analyst, PNC Financial Services
  • Biostatistician, University of Pittsburgh Dept. of Critical Care Medicine
  • Biostatistician, University of Pittsburgh Dept. of Orthopedic Surgery
  • Data analyst, University of Pittsburgh School of Pharmacy
  • Statistician, University of Pittsburgh School of Social Work

Recent Thesis Titles

Browse titles in D-Scholarship , the institutional repository for research output at the University of Pittsburgh

MS Competencies

All graduates with an MS in BIostatistics will be able to...

  • Address health problems by appropriate problem definition, study design, data collection, data management, statistical analysis, and interpretation of results
  • Demonstrate mastery of the theory underlying statistical methods
  • Understand and implement innovative statistical approaches
  • Communicate biostatistical analyses to individuals with varying degrees of statistical knowledge
  • Apply research design principles to problems in public health
  • Recognize strengths and weaknesses of approaches, including alternative designs, data sources, and analytic methods
  • Determine the data best suited to address public health issues, program planning, and program evaluation

Requirements

  • 40 credits, including:
  • Coursework in fundamentals of statistical theory and applications
  • A statistical consulting practicum
  • Coursework in epidemiology and public health
  • Thesis involving innovative data analysis or related to an internship experience

program information

MS Two-year Schedule (PDF)
MS Eighteen-month Schedule (PDF)
MS Degree Requirements Worksheet (PDF, 2020-21)
Student Handbook (PDF, 2020-21)

Admissions

Application Deadline

Applications for fall admission are due by April 1 for international applicants and July 15 for US applicants.

Apply online now

Using  SOPHAS, the centralized application service for graduate schools of public health.

Questions?

biostat@pitt.edu

Why Pittsburgh?

Pittsburgh confluence skyline

We’re in one of the best cities in the country, no lie... a “most livable” burgh, loved by tech nerds, foodies, outdoor adventurers, artists, and home-bodies. 

Find out what's to love about
life in Pittsburgh.

PLAN A VISIT

Want to explore interest areas and career options, find the best fit among our degree programs and departments, and meet students and faculty?

Visit the school, participate in an information session, or attend our annual Open House each fall.

MS Student News

Wang receives RAC graduate student fellowship from Children's Hospital of Pittsburgh 

Wang receives RAC graduate student fellowship from Children's Hospital of Pittsburgh

Xinjun (David) Wang (BIOST ’22) has been awarded a graduate student fellowship from UPMC Children’s Hospital of Pittsburgh. He received a perfect review score in the application despite the strong competition this year. The fellowship will provide support for two years for him to work on his thesis... (07/09/2020)

2020 Best Oral Presentation - Tao Sun 

2020 Best Oral Presentation - Tao Sun

Congratulations to doctoral candidate Tao Sun (BIOS '20) who was awarded Best Oral Presentation at the annual Biostatistics Research Day on February 27 for his work on "GWAS-based Deep Learning for Survival Prediction.”  (03/16/2020)
image

Biostats student wins best presentation award 

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)
image

2020 Best Poster Presentation - Jason Kennedy 

2020 Best Poster Presentation - Jason Kennedy

Congratulations to master's candidate Jason Kennedy (BIOST MS '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)
image

Meet Ruishen Lyu, MS student in biostatistics 

Meet Ruishen Lyu, MS student in biostatistics

Just like with his interest in preventative medicine, Ruishen Lyu (BIOST MS '20) had two main reasons for choosing Pitt from among the other universities to which he was accepted. The first was the great reputation of a large research university like the University of Pittsburgh. The second was the... (01/29/2020)
image

Clemons awarded Commonwealth Equity Scholarship 

Clemons awarded Commonwealth Equity Scholarship

Arvon Clemons (BIOST '21) was awarded the Commonwealth Equity Scholarship for academic year 2019-20.  (12/17/2019)
More Biostats Student Stories