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Nov 24, 2024
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2016-2017 Catalog [ARCHIVED CATALOG]
Quantitative and Systems Biology, M.S.
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Program Description
qsb.ucmerced.edu
Graduate Program Chair: David H. Ardell
Graduate Group Coordinator: Paul Roberts
Please direct inquiries to qsb.inquiries@ucmerced.edu
The Quantitative and Systems Biology Program QSB is a unified biology program whose unique strength lies in co-training students from all backgrounds in science and engineering to communicate across scientific boundaries to address complex questions and problems in basic and applied life sciences, while mastering core skills and disciplines. QSB faculty at UC Merced, Lawrence Livermore National Lab, and the DOE Joint Genome Institute represent 17 disciplinary strengths organized under four areas:
- Molecular and Cell Biology
- Biochemistry and Molecular Biology
- Cell and Developmental Biology
- Microbiology and Immunology
- Neurobiology
- Physiology
- Ecology and Evolutionary Biology
- Molecular Evolution and Ecology
- Microbial Ecology and Genomics
- Organismal and Integrative Biology
- Population Ecology, Genetics and Genomics
- Systems and Synthetic Biology
- Molecular Systems Biology
- Systems Ecology
- Synthetic Biology
- Quantitative Biology and Bioinformatics
- Mathematical Biology
- Computational Biology
- Physical Biology
- Structural Biology
- Bioinformatics
QSB is actively recruiting doctoral and masters students with basic training and experience in at least one or more core research skills such as laboratory work, fieldwork, mathematical modeling, statistics or computer programming. QSB supports both rotations in the first-year and the possibility to enter the program directly into one faculty’s lab, or for students to arrange co-advisement among multiple QSB faculty. QSB students can take advantage of a wide diversity of support mechanisms for research opportunities and professional development, including Semester Research Fellowships, Conference Travel Award Accounts, Summer Research Fellowships, Recruitment Travel Awards and the Joint Genome Institute/UC Merced Genomics Distinguished Graduate Internship Program.
Prospective applicants can view instructions on how to apply for graduate studies in QSB at the website, qsb.ucmerced.edu.
Program Learning Outcomes
Master’s Program Learning Outcomes (Plan 1 – Thesis)
- Quantitative and Systems Biology Skill (QB/SB)–Knowledge and understanding of quantitative (statistical, computational, and model dependent) and high-throughput experimental systems approaches to biological problems.
- Ethics–Knowledge and understanding of ethical standards in proposing and executing professional scientific research.
- Communication–Ability to effectively engage in effective communication of original and existing scientific inquiry and results orally and in writing.
- Scholarship–Ability to demonstrate graduate-level scholarship in specialized areas of biology, including command of relevant literature.
- 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)
- Quantitative and Systems Biology Skill (QB/SB)–Knowledge and understanding of quantitative (statistical, computational, and model dependent) and high-throughput experimental systems approaches to biological problems.
- Ethics–Knowledge and understanding of ethical standards in proposing and executing professional scientific research.
- Communication–Ability to engage in effective communication of original and existing scientific inquiry and results orally and in writing.
- 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.
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