MS - SCG concentration

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 with statistical and computational genomics concentration 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

The MS in Biostatistics with area of concentration in Statistical and Computational Genomics is designed for students with a background in calculus, some experience with programming, and a strong interest in public health and genomics. The SCG concentration emphasizes biostatistical theory and statistical computational methods for analyzing and interpreting ‘omics data so that students are prepared to be effective statistical collaborators in interdisciplinary studies; and lead the design and execution of studies.

Biostatistics and SCG Careers

Statistical and computational genetics is an exciting, rapidly changing, and interdisciplinary profession. Trained statistical and computational geneticists are in high demand.In fact, the U.S. Department of Labor’s O*NET OnLine projects the job growth for bioinformatics scientists nationwide to be 5-9%.

Here are just a few employers with open positions for statistical geneticists, genomic data scientists or bioinformaticians in a recent search on Indeed, Glassdoor, and ZipRecruiter:

  • 23andMe
  • Regeneron Pharmacueticals
  • University of Pittsburgh Medical Center
  • GeneDx
  • New York Genome Center
  • Signature Science
  • AgBiome
  • NIH Bioinformatics and Microbiome Center

Typical median salary ranges were $42,000-$167,000.

SCG Concentration-Specific Competencies

Students with the statistical and computational genetics concentration will master the core MS in biostatistics competencies and will also be able to:

  1. Apply specialized data curation, management, and cleaning tools for various types ‘omics data,
  2. Apply specialized statistical, bioinformatics, and computational methods for analysis of ’omics data, and
  3. Effectively use a programming language (such as R) to analyze ‘omics data.

SCG Concentration-specific Requirements

40 credits, including:

  • Coursework in fundamentals of statistical theory and applications
  • Coursework in programming languages (e.g. SQL, R, SAS, Python)
  • Coursework in modern computational methods for high dimensional data, machine learning, genomics and molecular biology
  • A statistical consulting practicum
  • Coursework in epidemiology and public health
  • Capstone course to prepare a thesis involving innovative data analysis or related to an internship experience

program information

MS-SCG Schedule (PDF, 2019-20)
MS-SCG Degree Requirements Worksheet (PDF, 2019-20)
Student Handbook (PDF, 2019-20)

Admissions

Sample thesis titles

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

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

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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

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Liu's paper selected for Distinguished Student Paper Award 

Liu's paper selected for Distinguished Student Paper Award

Peng Liu's (BIOST '16, '21) paper "MethylSeqDesign: A framework for Methyl-Seq genome-wide power calculation and study design issues" has been selected for the Distinguished Student Paper Award. Congratulations!  (02/11/2019)
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Meet Peng Liu, MS grad, PhD candidate in biostatistics 

Meet Peng Liu, MS grad, PhD candidate in biostatistics

“I started doing research in the second year of my master’s program and that’s where I started to feel like research is kind of exciting and I enjoy doing it. My advisor at that time was Dr. Jonathan Yabes, who is also a graduate of our program and who is now working in the medical school. He helpe... (10/23/2019)
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Boyd wins Lingzi Lu Memorial Award 

Boyd wins Lingzi Lu Memorial Award

Kristina Boyd (BIOST '19) will receive the 2020 award, created in 2013 by the American Statistical Association in partnership with the International Chinese Statistical Association in rememberance of Lingzi Lu, the first-year student in the statistics master's program at Boston University who lost ... (12/05/2019)
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Meet Kayleigh Adamson, MS student in biostatistics 

Meet Kayleigh Adamson, MS student in biostatistics

Kayleigh Adamson (BIOST MS '20) is from Crawford County in Northwestern Pennsylvania. With about 60 people in her graduating class, she grew up a self-described rural country girl. She started college at Penn State Behrend in Erie, PA, transferring to main campus for her junior and senior years. At... (12/09/2019)
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Biostat's new Health Data Science concentration featured in AmStat News 

Biostat's new Health Data Science concentration featured in AmStat News

The brand new Health Data Science concentration in biostatistics was featured in the December issue of AmStat News. "We created our concentration to keep pace with scientific needs and train graduate students for the evolving job market while ensuring a rigorous statistical foundation in traditiona... (12/05/2019)
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Meet Dominic DiSanto, MS student in health data science 

Meet Dominic DiSanto, MS student in health data science

“I’m especially excited about my health data science concentration. It’s a very dynamic skill set and one that translates well to all different kinds of problems," said Dominic DiSanto (BIOST MS '21). "The curriculum in general looks like a very applied curriculum and the idea of having a consultin... (12/11/2019)
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Meet Lingyun Lyu, Pitt Biostats MS graduate and PhD candidate  

Meet Lingyun Lyu, Pitt Biostats MS graduate and PhD candidate

Lingyun Lyu (BIOST PhD '22) is a second-year Ph.D. student in Biostatistics at Pitt Public Health. She came to Pitt in 2016 and earned her M.S. in Biostatistics in 2018. She loved the master’s program and thinks that it’s really well-designed. In addition to many essential statistical theory and ap... (12/09/2019)
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