Master of Science

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For more information about applying to the MS program, kindly visit the Yale Graduate School of Arts and Sciences website.

Students

Since 1999 the Department of Biostatistics has offered an MS in Biostatistics designed to train students to meet the growing need in managed care organizations, medical research, and the pharmaceutical industry for graduates with technical skills in data analysis. As opposed to the more general MPH degree, the MS degree, now known as the MS in Public Health in the Biostatistics track, emphasizes the mastery of biostatistical skills from the beginning of the plan of study. Graduates of this program may apply to the PhD degree program.

Like the PhD, the MS in Public Health is offered through the department’s affiliation with the Graduate School of Arts and Sciences. The doctoral committee and the director of graduate studies are responsible for overseeing the progress of these students. For more information, please contact the Melanie Elliot at 203-785-6383.

A limited number of merit scholarships are occasionally available to MS students in Biostatistics. There is no separate application process. All applicants are considered for these limited scholarships (up to $5,000 per year conditional upon maintaining excellent academic progress). Generally, there is no other financial support for Masters Students, although the opportunity to be a Teaching Fellow is available occasionally in the second year of the program. Information regarding funding opportunities, financial aid, tuition and living costs, as well as student loans, can be found at http://www.yale.edu/graduateschool/financial/index.html.

MS Competencies

Upon receiving an MS degree in Public Health with a concentration in Biostatistics, the student will be able to:

  • Describe advanced concepts of probability, random variation and commonly used statistical probability distributions.
  • Develop an efficient design for collecting, recording, and storing data collected in the conduct of public health and medical research.
  • Develop sample size and statistical power calculations for basic study designs including those utilized in clinical trials.
  • Design efficient computer programs for study management, statistical analysis, as well as presentation using SAS and other programming languages.
  • Produce edited data sets suitable for statistical analyses.
  • Apply advanced informatics techniques with vital statistics and public health records in the description of public health characteristics and in public health research and evaluation.
  • Perform analyses of stated hypotheses using a variety of analytical tools including analysis of variance, multiple regression, nonparametric statistics, logistic regression, multivariate analyses, and methods for analyzing rates and failure time data.
  • Interpret results of advanced statistical analyses and use these results to make relevant inferences from data.
  • Produce working tables and statistical summaries describing research in health science.
  • Develop written presentations based on intermediate to advanced statistical analyses for both public health professionals and educated lay audiences.
  • Develop oral presentations based on intermediate to advanced statistical analyses for both public health professionals and educated lay audiences.

PDF Version

Download the PDF version of the MS course requirements.

The M.S. in Biostatistics requires a minimum of 14 course units (12 courses plus a Master’s Thesis). The M.S. in Biostatistics requires the student to complete the following courses. All “a” courses are offered in the fall term, “b” courses are offered in the spring term.

Requirements Completed?

DEGREE REQUIREMENTS

Course Units

BIS 525a,b, Seminar in Biostatistics

0

BIS 540a, Fundamentals of Clinical Trials                                                           

1

BIS 623a, Applied Regression Analysis                                                

1

BIS 625a, Categorical Data Analysis                                                   

1

BIS 628b, Longitudinal and Multilevel Data Analysis                          

1

BIS 630b, Applied Survival Analysis                                                    

.5

BIS 632b, Design and Analysis of Epidemiologic Studies                                     

.5

STAT 541a, Probability Theory                                                              

1

STAT 542b, Theory of Statistics                                                                        

1

Master’s Thesis                                                                                   

2

BIS 695c, Summer Internship in Biostatistical Research                           

0

EPH 600b, Research Ethics and Responsibility                                    

0

(BIS 695c and EPH 600b,  do not count towards the 14 course units)

Students must choose two Biostatistics Electives from the following courses:

BIS 557a, Computational Statistics

1

BIS 561b, Advanced Topics and Case Studies in Multicenter Clinical Trials

1

BIS 643b, Theory of Survival Analysis and Its Application

1

BIS 646b, Nonparametric Statistical Methods and their Applications

1

BIS 651b, Spatial Statistics in Public Health

1

BIS 691b, Theory of Generalized Linear Models

1

Students must choose one Public Health elective (not in Biostatistics)

1

Students must choose two additional electives

1

1

rev. 7.10.2014

Master's Thesis

In the second year of the MS in the Biostatistics track, the student is required to execute a program of independent research under the direction of a faculty member. This project will usually fall into one of these main areas: development of a new statistical theory or methodology, a computer-based simulation study to illustrate properties of an existing method, or the analysis of a real dataset.

The student is required to prepare a written thesis. The thesis is written under the supervision of a Biostatistics faculty member. Upon completion of the thesis, the student will make an oral presentation of the results.

Recent thesis topics:

  • Classification of risk factors for mortality and morbidity after pulmonary resection
  • Evaluating the Effectiveness of Individual Placement and Support (IPS) Model of Supported Employment in Observational Studies
  • Incorporating ENCODE data in the analysis of genome wide association data to improve replication rates
  • Modeling nonignorable dropouts in longitudinal studies to alleviate attrition bias: An illusion of instrumentl variable approach

Many MS graduates are accepted into PhD programs or medical school at prestigious universities. Those that choose to work,  have many options available to them in industry or academia as biostatisticians, research analysts,  system analysts or other similar positions.