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Organization, Regulations, and Courses 2018-19


Quantitative Biomedical Sciences

Director: James O’Malley
Co-Director: Diane Gilbert-Diamond
Co-Director for the MS progeams: Todd MacKenzie
Curriculum Director: Kristine A. Giffin

 

To view Quantitative Biomedical Sciences courses, click here.

 

Requirements for a Doctoral Degree (Ph.D.) in Quantitative Biomedical Sciences (QBS)

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. 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.


The requirements for the Ph.D. degree in Quantitative Biomedical Sciences are as follows:

The goal of the Graduate Program in Quantitative Biomedical Sciences (QBS) is to prepare Ph.D. students for careers at the intersection of biomedical research and quantitative sciences such as bioinformatics, biostatistics and epidemiology.

  1. Satisfactory completion of a two-quarter course in Integrative Biomedical Sciences, two quarters of bioinformatics (Foundations to Bioinformatics I and II), two quarters of biostatistics (Foundations of Biostatistics I and II), two quarters of epidemiology (Foundations of Epidemiology I and II), and a course in biology if not have taken a graduate level biology course prior to matriculation
  2. Three first year research rotations that will consist of three small research projects, conducted with different faculty members for periods of about three months each, and registered research until the completion of the PhD.
  3. Satisfactory completion of two approved graduate level elective courses.
  4. One quarter of supervised teaching in a QBS course.
  5. Participation in a weekly journal club for the first 3 years.
  6. Satisfactory completion of an oral qualifying examination.
  7. Satisfactory completion of a significant research project and preparation of a thesis describing this research.
  8. Successful defense of the thesis in an oral examination and presentation of the work in a public lecture.

The requirements for the M.S degree in Health Data Science are as follows: 

Health Data Science students have access to interdisciplinary courses positioning individuals to have competitive advantages for careers in Big Data, healthcare and biomedicine that translate to academia and industry. Students complete 9 required courses, including a capstone that brings together data wrangling, exploratory data analysis, programming, statistical learning, epidemiology, data visualization and communication. In addition, up to 9 elective courses are required during the 5 quarters in residence. Students are encouraged to pursue an internship during the summer, which extends their last session from the fall quarter to the winter quarter.

1. Satisfactory completion of the following courses:

Mathematics & Probability for Statistics & Data Mining (may test out)
Foundations of Biostatistics I
Foundations of Biostatistics II
Machine Learning
Data Wrangling

Data Visualization

Foundations of Epidemiology I

Algorithms for Data Science

Capstone

2. Satisfactory completion of up to 9 approved graduate level elective course

3. Completion of mandatory first year ethics course required of all first year graduate students

The requirements for the M.S degree in Epidemiology are as follows: 

The QBS Masters of Science degree in Epidemiology provides training in epidemiologic methods, biostatistics, bioinformatics, data analysis and translational research. Graduates will have competencies in the theory and application of epidemiologic methods to complex problems in population health. Epidemiology students will receive interdisciplinary training for careers in biomedical research, government agencies, private industries, and nonprofit health organizations. Students complete 9 required courses, including a capstone, in which students will develop and complete a research project with a faculty advisor. In addition, up to 9 elective courses are required during the 5 quarters in residence.

  1. Satisfactory completion of the following courses:Mathematics & Probability for Statistics & Data Mining (may test out) Foundations of Epidemiology I & II Applied Epidemiological Methods I & II Clinical Epidemiology Molecular Biologic Markers in Human Health & Disease Foundations of Bioinformatics I Foundations of Biostatistics I Capstone
  2. Satisfactory completion of up to 9 approved graduate level elective course
  3. Completion of mandatory first year ethics course required of all first year graduate students

*4+1 Students must satisfy the degree requirements listed above but must complete 3 courses from the list during their Dartmouth undergrad training. GRE submission requirements are waived.