Apr 11, 2025  
2025-2026 Catalog 
    
2025-2026 Catalog

Quantitative and Systems Biology, M.S.


Return to {$returnto_text} Return to: Academic Programs

qsb.ucmerced.edu
Graduate Program Chair: Fred Wolf
Graduate Group Coordinator: Mel Alexandra
Please direct inquiries to qsb.inquiries@ucmerced.edu

The Quantitative and Systems Biology (QSB) graduate program is for Ph.D. and M.S. students interested in all areas of biology. A unique strength in QSB lies in training students to communicate across scientific boundaries to address complex questions and problems, while mastering core skills and disciplines. QSB faculty research at UC Merced, as well as Lawrence Livermore National Lab and the DOE Joint Genome Institute, and San Francisco State University, represent strengths organized under six areas:

  1. Molecular, Cellular and Developmental Biology
  • Developmental Mechanisms
  • Physiological Systems and Metabolomics
  • Stem Cell Biology and Regeneration
  • Neurobiology
  1. Evolution and Ecology
  • Ecosystem Ecology
  • Evolutionary Developmental Biology
  • Genomics
  • Global Change  and Adaptation
  • Symbiosis
  • Organismal and Integrative Biology
  • Population Ecology and Dynamics
  1. Biochemistry, Biophysics, and Bioengineering
  • Structural Biology
  • Cell and Tissue Engineering
  • Synthetic Biology
  1. Computational and Mathematical Biology
  • Molecular Systems Biology
  • Theoretical Biology and Modeling
  • Computational Evolutionary Biology and Bioinformatics
  1. Microbiology and Immunology
  • Biology of Microbial Communities
  • Microbial Pathogenesis and Infectious Disease
  1. Biological and Medicalgy Education

QSB admits new students into a laboratory rotation track or, less frequently, direct admission into a laboratory. QSB students can take advantage of a wide diversity of support mechanisms for research opportunities and professional development, including Semester Research Fellowships, Conference Travel Awards, Summer Research Fellowships, and Summer Internships at the Joint Genome Institute at Berkeley.

Program Learning Outcomes


 

Master’s Program Learning Outcomes (Plan I – Thesis)


  1. Quantitative and Systems Biology Skill: Knowledge and understanding of Quantitative and Systems approaches to biological problems, and demonstrated ability to conceive, plan, execute and/or interpret the applications of these approaches to research questions.
  2. Ethics: Knowledge and understanding of ethical standards in proposing and executing professional scientific research.
  3. Communication: Ability to engage in effective communication of original and existing scientific inquiry and results orally and in writing.
  4. Scholarship: Ability to demonstrate graduate-level scholarship in specialized areas of biology, including command of relevant literature.
  5. Research Ability: Ability to execute and defend original research that contributes to knowledge in the relevant field of biology.

Master’s Program Learning Outcomes (Plan II – Non-thesis)


  1. Quantitative and Systems Biology Skill: Knowledge and understanding of Quantitative and Systems approaches to biological problems, and demonstrated ability to conceive, plan, execute and/or interpret the applications of these approaches to research questions.
  2. Ethics: Knowledge and understanding of ethical standards in proposing and executing professional scientific research.
  3. Communication: Ability to engage in effective communication of original and existing scientific inquiry and results orally and in writing.
  4. Scholarship: Ability to undertake and demonstrate original graduate level scholarship in specialized areas of biology, including command of historical and current literature and broader scientific context, identification of open research problems, and identification of feasible techniques to approach those problems.
  5. Research Ability: Ability to propose and defend a feasible research plan to apply scientific techniques to open research problems.

Return to {$returnto_text} Return to: Academic Programs