Programs by Campus


Clinical Research



  • GRDM-G 504 Intro to Research Ethics (2-3 cr.) An introduction to both the theory and practice of research ethics. The course also covers key ethical principles and concepts.
  • GRDM-G 660 Clinical Research Methods (3 cr.) This course provides in­struction in the major types of study design (other than clinical trials) used in clinical research, including cohort, case-control, cross-sectional, survey, and secondary database studies. Also, fundamental themes and special topics in clinical research are covered.
  • GRDM-G 661 Clinical Trials (3 cr.) This course includes topics in con­ducting clinical trials, including design, recruitment, informed consent, randomization, blinding, data collection and analysis, safety monitoring, study closeout, and alternative designs such as crossover and nonrandomized trials. Some important research areas besides clinical trials are also covered.
  • GRDM-G 664 Mentored Clinical Research (7-9 cr.) This is an organized research project in the form of an organized scientific contribu­tion or comprehensive analysis conducted under the mentor­ship of a faculty scientist from the individual CITE enrollee’s core discipline. The capstone experience is submission of an abstract to a scientific meeting, defense of one’s research be­fore an advisory committee, and completion of a first-authored paper deemed suitable for publication in a scientific journal.
  • PBHL-B 551 Biostatistics - Public Health I (3 cr.) This course introduces the basic principles and methods of data analysis in public health biostatistics.
  • PBHL-B 561 Introduction To Biostatistics I (3 cr.) B651 is an introductory level biostatistics course designed for healthcare professionals. This course will cover the topics on data presentation techniques, describing data with numerical summary measures, probability and probability distributions, sampling distributions, statistical inferences from small and large samples, analysis of categorical data, analysis of variance, correlation and simple linear regression analysis.

Academic Bulletins

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