Degree candidates must complete 10 credits in order to earn the degree.
The degree requires:
- 6 core credits
- 2 elective credits
- 2 research project credits
- 1  credit class on Key Issues in the Responsible Conduct of Research (MSCI 450)
The final Research Project is to be turned into MSCI administration and submitted for publication.
Program Notes & Amendments:
- "Intermediate Biostatistics" (MSCI 321) and "Advanced Biostatistics" (MSCI 421) have changed names. As of fall 2015, they are "Biostatistics for Clinical Investigators 1 & 2".
- For non-TGS credit, the Responsible Conduct of Research course can be taken in lieu of the Key Issues in the Responsible Conduct of Research.
Required Core Courses:
|MSCI 311_||Clinical Research Design, Methods, and Grant Writing-- This multidisciplinary course will introduce MSCI students to scientific methods used for clinical translational research as well as provide a framework for the other courses required for completing the MSCI degree. The course will stress the importance of multidisciplinary approaches to solving clinical questions and will incorporate examples of research discoveries that were advanced through multidisciplinary collaborations.||1.0|
Presenting Research--This course is designed to provide students an opportunity to present their master’s thesis/research project to other students and faculty in a larger setting. It also presents a platform for giving informed and constructive feedback to peers. Students must be ready to present on the first day of class.
|MSCI 321||Biostatistics for Clinical Investigators 1--This course focuses on applications and interpretations of the general linear model, including t-tests, regression and ANOVA. Additionally, logistic regression and other categorical data analysis techniques are explored. The use of SPSS is a course requirement.||1.0|
|MSCI 322||Introduction to Epidemiology--This course is an introduction to the field of epidemiology and its application. Epidemiology is the study of the distribution of disease and determinants of disease in human populations. The most commonly used study designs in epidemiology are observational rather than experimental.||1.0|
|MSCI 421||Biostatistics for Clinical Investigators 2--This course builds upon the material learned in Intermediate Biostatistics. Specifically, this course will focus on model-building techniques including linear regression, logistic regression, Cox proportional hazards regression, generalized estimating equations, and other special topics. Prerequisites: MSCI 321 or PH 302 Introduction to Biostatistics.||1.0|
|MSCI 445||Writing and Peer Reviewing for Publication--Writing and Peer-Reviewing is an intensive, hands-on, advanced course in writing for publication in biomedical journals and how to be a successful peer reviewer. The student will be expected to prepare an article, respond to 2 peer review cycles, and at the conclusion of the course, to be ready to submit to a journal. Prerequisites: MSCI 321 Introduction to Biostatistics and PH 304 Introduction to Epidemiology.||1.0|
This course provides an introduction to the data, analysis tools, ethical considerations, and terminologies from several areas of study within the Clinical and Translational Sciences (CTS) research spectrum. Students will be given didactic instruction as an introduction to the topics followed by hands-on demonstrations and exercises to reveal practical use of relevant software tools.
The overall goal of this course is to cover core principles and expectations for conducting medical research ethically and responsibly. The course will meet the NIH requirements for RCR training for individuals who research is funded on public funds. It is expected that at the end of the course trainees with have a thorough understanding of research ethic.
|MSCI 499||Research Project--Development and presentation of a research project while participating in the program. Students present a seminar on the project, prepare a grant application, and submit a manuscript for publication. See Research Project & Degree Completion page for more details.||2.0|
Students choose at least two related courses drawn either from those listed below or from those offered by the Program in Public Health (Please note that course offerings change from year to year so check the schedule that is posted on the MPH website). Electives should relate to the student's area of emphasis.
Other electives may be taken with permission of mentor, course director, and program director.
|MSCI 303__||Drug Development Process--Introduces the rationale for, practical aspects of, and new issues in drug and device development policies and regulations.||1.0|
|MSCI 307||Team Science-- Addressing today’s complex problems requires the high degree of cross-disciplinary collaboration, referred to as “Team Science”. This course offers practical guidance about how best to engage in team science to: pursue complex science questions, work effectively with team members, and produce high impact research outcomes that help meet society’s needs||.5|
|MSCI 312||This course is designed to provide students with an opportunity to present their master's research thesis project to oher students and faculty in a larger setting. It also presents a platform for giving informed and constructive feedback to peers. Students must be ready to present on the first day of class.||.5|
|MSCI 422||Introduction to Translational Research--This course is intended to introduce the basic life sciences graduate student to the thought processes involved in human disease research and its translation into therapy by providing an overview of disease processes, how they are treated, and how basic biological science is used to develop those treatments.||1.0|
|MSCI 490||Independent Study-Permission of instructor and department required. See here for more details.||1.0|
|EPI BIO 305||
Data Management & Programing--The purpose of this course is to prepare students for computer-based data management, statistical data processing, and programming using SAS systems. There will also be a brief introduction to other statisti cal packages including R (which is the open source version of SPlus) and SPSS. Prerequisites:
Introduction to Biostatistics (EPI BIO 302) and Epidemiology (EPI BIO 301).
|PUB HLTH 438||
Survey Design & Methodology--This course will focus on methodological issues regarding the design, implementation, analysis, and interpretation of surveys and questionnaires in public research.
Intermediate Epidemiology--This course is designed for students to attain an intermediate depth of knowledge in general epidemiologic theory and methods. Specifically, this course provides students with (1) advanced understanding of epidemiologic and clinical study designs; (2) knowledge of classical methods of statistical analyses of epidemiologic studies; (3) an introduction to multivariate regression modeling for epidemiologic and clinical studies; and (4) a foundation for statistical and causal inference.
|PUB HLTH 438||Infectious Diseases--This course will focus on the surveillance, identification, control, and prevention of selected infectious diseases of PH importance.
|PUB HLTH 446||Clinical Trials--This course introduces commonly used designs for clinical trails, methods for randomization, blinding and sample size determination, choice of controls, collaborative/ multicenter trial requirements and operational issues, data management and data quality issues, interim analysis methods, critical review of clinical trial results, and statistical techniques for analyzing data. Prerequisites: PH 302 Introduction to Biostatistics and PH 304 Introduction to Epidemiology (or MDM II)||1.0|
|PUB HLTH 431||Basic Decision Analysis--This course covers the quantitative analytic techniques intended to inform decision makers at the bedside as well as at the policy-making level. Topics include probability, Bayes’ theorem, sensitivity and specificity of diagnostic tests, Bayesian decision analysis, utility assessment, cost-effectiveness analysis, and expert systems.||1.0|
|PUB HLTH 437||Applied Data Analysis--This course provides hands-on experience in the design and analysis of epidemiologic studies, with emphasis on applying methodology learned in intermediate level courses. Through independent projects and class exercises, the course covers practical aspects of conducting research. Public health students are encouraged to bring ideas for their Culminating Experience to the course so that they can further develop and refine their research plan. Prerequisites: PH 302 Introduction to Biostatistics and PH 304 Introduction to Epidemiology, with Intermediate Biostatistics/Epidemiology desired, but not required.||1.0|
|PUB HLTH 438||Survey Design & Methodology--This course focuses on methodological issues regarding the design, implementation, analysis, and interpretation of surveys and questionnaires in public health research. Various types of self-report data will be discussed, including knowledge, attitudes, behaviors, and patient-reported outcomes. Issues will include formatting and layout, wording of items and response scales, multilingual translations, sampling, timing of assessments, interviewer training, participant recruitment, data analysis, and respondent and staff burden. Prerequisites: PH 302 Introduction to Biostatistics and PH 304 Introduction to Epidemiology.||1.0|
|PUB HLTH 439||
Qualitative Research Methods--This course will focus on qualitative research methods and will include investigation of issues related to research design, sampling, data management, analysis and report writing. Methods covered will include unstructured, semi-structured, and structured interviewing, writing and using field notes, cognitive interviewi ng for survey construction, group interview methodologies, participant observation, cognitive tasks such as decision modeling, domain analysis and the use of mapping techniques in qualitative research.
|PUB HLTH 444||Advanced Decision Analysis--This course covers advanced decision-analytic methods useful in medical decision modeling. Included are the probabilistic theory of hazard rates and modeling of age-dependent mortality, Markov modeling, stochastic tree modeling, techniques for multi-way sensitivity analysis such as probabilistic sensitivity analysis and information-value analysis, and software for stochastic tree modeling. Medical decision-analytic literature is reviewed and theoretical underpinnings of models are explored. A project using decision analysis software is required. Prerequisite: PH 431 or equivalent.||1.0|
|PUB HLTH 435||Design and Analysis Strategies in Health Services Research--PH 435 provides a broad overview of health services research, including an introduction to research methodologies unique to the field. The course includes a historical retrospective of economic and policy issues leading to the emergence of health services research as a distinct discipline. Class topics include small-area variations, medical effectiveness, outcomes research and case-mix adjustments for outcomes research, measuring quality of care, continuous quality improvement, guideline development, and technology assessment.||1.0|
|PUB HLTH 524||Cardiovascular Epidemiology--This course will cover selected topics in cardiovascular disease epidemiology and prevention with critical analysis of classic and current epidemiological research.||1.0|
|CLIN PSY 429||Advanced Research Methodology||1.0|