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Systems, Computational, and Quantitative Biology Program (SCQB)

Graduate Program in Systems, Computational and Quantitative Biology Program (SCQB) 
 

In this program, students will learn concepts and methods of systems and computational biology. Students will learn how to analyze gene-regulatory networks, spatial architecture of genomes, metabolic networks, and epigenomics. Students will also learn bioinformatic techniques, used for analyzing large-scale data such as RNA-Seq and Hi-C datasets, as well as statistical methods such as methods for dimensional reduction of complex data. Courses will emphasize both hands-on learning, such as in programming sessions, and active discussions. Students will learn skills that are useful for both basic and translational research.

Specific topics of research and study include systems biology; analysis of regulatory and metabolic networks; structure of the genome and comparative genomics; population genetics and molecular evolution; protein-protein and protein-DNA interactions; RNA; modeling of large-scale biological systems; structural biology; protein folding and modeling; and biological physics. Students receive a rigorous training in modern bioinformatics and computational biology through integration of guided research, coursework and participation in seminar programs. The program aims to train a new generation of scientists with the multidisciplinary skill set for careers in cutting-edge, highly quantitative biomedical research.

The Program in Bioinformatics offers the following BCB courses:


An Empirical Introduction to Statistical Modeling | BBS 706

Advanced Topics in Bioinformatics | BBS 741

 

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BCB graduates have gone on to careers as:

  • Research Scientist, PACT Pharma
  • Associate Principal Scientist, Verve Therapeutics
  • Bioinformatics Scientist, Guardant Health
  • Computational Biologist, Broad Institute
  • Assistant Professor, UMASS Chan Medical School