Modern biomedical research relies on both multidisciplinary and interdisciplinary approaches. Multidisciplinary approaches bring several different scientific disciplines such as bioinformatics and genetics to bear on a research question. Interdisciplinary approaches synthesize knowledge and methods from other disciplines to provide an integrated framework for solving complex biomedical problems in new ways.<\/p>\n
The rapid advancement of high-throughput technologies such as DNA microarrays and mass spectrometry for measuring biological systems and their application as part of translational medicine has generated a significant demand for investigators doing cutting-edge research in quantitative disciplines such as bioinformatics, biostatistics and epidemiology. Those with the greatest impact are cross-trained in multiple disciplines giving them the ability to synthesize and integrate several disciplines to provide a truly interdisciplinary approach to solving complex biomedical problems.<\/p>\n
The goal of the doctoral program in Quantitative Biomedical Sciences is to prepare PhD students for careers at the intersection of biomedical research and quantitative sciences such as bioinformatics, biostatistics and epidemiology.<\/p>\n
The overall Learning Outcomes for the degree are as follows:
\n1. Demonstrate comprehensive and foundational knowledge of the core concepts and principles within the field of study
\n2. Critically analyze and interpret relevant, scholarly literature relevant to the field
\n3. Integrate and synthesize theoretical and empirical ideas across the field of study
\n4. Apply the research methods, analytical tools, and techniques essential to scholarly inquiry in the field
\n5. Assess and critique empirical data and research findings using appropriate methodological frameworks
\n6. Develop and effectively communicate a research proposal through clear, well-structured written and oral presentations<\/p>\n
The requirements for the PhD degree in Quantitative Biomedical Sciences are listed below.<\/p>\n
6 units from the following core courses with at least 1 unit in each area<\/p>\n
The QBS biostatistics curriculum is designed to start with either 119 or 120 in the Fall term followed by 121 in Winter. After 121, students will have sufficient background for the later QBS biostatistics and machine learning courses (108, 122, 124, 126, 177). However, students are encouraged to take 120 vs. 119 if they want to enroll in QBS 122 or 124, given the more mathematical\/theoretical nature of these classes. Students who have recently taken a graduate-level equivalent to 119\/120 or 121 may opt to skip these classes and directly enroll in more advanced courses (permission of the advanced course instructor is required).<\/p>\n
Students who have never taken a graduate-level course in epidemiology should first take QBS 130. Students who have taken 130 or equivalent may take 131, 132, 133, 136 and\/or 137. 136 and 137 should not be the only epidemiology coursework taken to meet core course requirements.<\/p>\n
Choose 3.5 units from this list<\/p>\n
QBS:<\/strong><\/p>\n Thayer School of Engineering:<\/strong><\/p>\n Computer Science:<\/strong><\/p>\n Public Health:<\/strong><\/p>\n Additional A & S Courses:<\/strong><\/p>\n Satisfactory completion of 6 approved journal club courses<\/p>\n\n
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Journal Clubs<\/h2>\n
QBS Journal club offerings<\/h3>\n
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Additional journal club offerings<\/h3>\n
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Limits and Requirements<\/h3>\n
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Research rotations<\/h2>\n
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Teaching<\/h2>\n
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