Master of Science (M.S.) Curriculum (30 credits) - Biostatistics
Students
seeking the M.S. in biostatistics degree must complete 30 credits of academic
work with an average grade of B or better. Courses are 3 credits unless otherwise noted.
PREREQUISITES
-
3 credits in
college biology, human behavior, social or health science
-
3 credits in
college calculus
-
Demonstration of
computer competence
CORE COURSES
(6 credits)
- PHCO 0502
- Principles and Methods of Epidemiology (Prerequisite: Quantitative Skills Assessment)
-
PHCO 0508 - Issues in Environmental and Occupational Health (1 credit)
-
PHCO 0510 - Issues in Health Education and Behavioral Science (1 credit)
-
PHCO 0511 - Issues in Health Care Systems and Policy (1 credit)
REQUIRED COURSES (18 credits)
Note:
Students should review the Course Descriptions for specific information about
prerequisites required for required courses and recommended electives.
-
BIST 0535 - Biometrics Computing
- BIST 0613 - Biostatistics Theory I (or 16:960:592 within Department of Statistics, Rutgers School of Arts and Sciences)
- BIST 0614 - Biostatistics Theory II (or 16:960:593 within Department of Statistics, Rutgers School of Arts and Sciences)
- BIST 0615
- Categorical Data Analysis
-also-
Choose one of the following two:
-
BIST 0610 -
Advanced Regression
Methods for Public Health Studies
- BIST 0551 - Applied Regression Analysis for Public Health Studies
-also-
Choose one of the following two:
- BIST 0616 - Lifetime Data Analysis
- BIST 0650 - Applied Longitudinal Data Analysis
-also-
RESEARCH (0 credits)
-
RESH 0600
- Master of Science Research
RECOMMENDED ELECTIVE COURSES (6 credits)
-
BIST 0630
- Sampling Methods
-
BIST 0655
- Biocomputing II
- BIST 0660
- Clinical Trial: Design and Analysis of Medical Experiments
-
BIST 0687
- Biostatistics for Environmental and Occupational Health
-
BIST 0688
- Statistical Methods in Genetic
-
BIST 9619
- Design of Experiments
-
BIST 9655
- Nonparametric Statistics
OTHER REQUIREMENTS
-
Qualifying
Examination
-
Presentation at
one Department of Biostatistics seminar
