MS - SCG concentration

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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MS Student News

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DiSanto awarded Commonwealth Equity Scholarship 

DiSanto awarded Commonwealth Equity Scholarship

Dominic DiSanto (BIOST '20) was awarded the Commonwealth Equity Scholarship for the academic year of 2019-20.  (12/17/2019)
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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)
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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)
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Meet Ashika Mani, accelerated MS student in statistics and biostatistics 

Meet Ashika Mani, accelerated MS student in statistics and biostatistics

Ashika Mani (BIOST MS '21) joined Pitt Public Health this year via our Accelerated Bachelor's/Master's Program. “It was a pretty natural choice as I was looking to jumpstart my graduate studies early,” she said. “I was almost done with my undergraduate requirements.” She felt like she had so much m... (12/11/2019)
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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 Arvon Clemons, MS student in statistical and computational genomics 

Meet Arvon Clemons, MS student in statistical and computational genomics

Part of what led Arvon Clemons to Pitt Public Health was the city of Pittsburgh. He felt a connection to a city that was similar to his hometown of St. Louis. His academic background doesn’t feel as congruous with his current study. But ultimately, both the city and the program are turning out to b... (12/09/2019)
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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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