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  School of Public Health 2022-2024 Doctor of Philosophy (Ph.D.) Programs Biostatistics Curriculum  

Curriculum


Doctor of Philosophy (Ph.D.) in Public Health Curriculum - Biostatistics (72 credits)

Students seeking the Ph.D. in public health - biostatistics degree must complete a minimum of 72 credits of academic work with a minimum GPA of at least 3.2 overall and 3.2 in the set of required courses specified by their concentration; earn no more than 9 credits bearing grades less than B; and complete the degree requirements within seven years. Courses are 3 credits unless otherwise noted.

REQUIREMENTS FOR ADMISSION

  • Master's degree in a related field
  • Courses in multivariable calculus and linear algebra
  • Working knowledge of a programming language
REQUIRED PREREQUISITE COURSES (6 credits)
Do not count toward the minimum 72-credit Ph.D. curriculum
  • PHCO 0502 - Principles and Methods of Epidemiology
  • PHCO 0504 - Introduction to Biostatistics [Prerequisite: Quantitative Skills Assessment]
If a student holds an M.P.H. from a CEPH-accredited school or program of public health, prerequisite coursework is considered completed. PHCO 0502 and PHCO 0504 must be completed before Year 1, fall semester (e.g., online summer before) if student does not have graduate-level coursework in these two areas.

REQUIRED PHD IN PUBLIC HEALTH CORE COURSES (9 credits)
  • PHCO 0512 - Public Health Foundations (If a student holds an M.P.H. from a CEPH-accredited school or program of public health, course is waived, but not the credits.)
  • ENOH 0701 - Public Health Research Ethics
  • HBSP 0700 - Advances in Public Health Theories
REQUIRED CONCENTRATION AND ELECTIVES COURSES (39 credits)
Note: Students should review the Course Descriptions in the School Catalog for specific information about prerequisites required for required courses and recommended electives.

Required Courses (18 credits):
  • BIST 0700 - Advanced Theory of Biostatistics I
  • BIST 0701 - Advanced Theory of Biostatistics II
  • BIST 0720 - Advanced Biostatistical Computing
  • BIST 0725 - Generalized Linear Models
  • BIST 0727 - Survival Analysis
  • BIST 0750 - Longitudinal Data Analysis
Recommended Electives (21 credits):
  • BIST 0610 - Advanced Regression Methods for Public Health Studies
  • BIST 0660 - Clinical Trials: Design and Analysis of Medical Experiments
  • BIST 0663 - Statistical Learning in Biomedical Studies
  • BIST 0688 - Statistical Methods in Genetics
  • BIST 0690 - Advanced Topics in Biostatistics
  • BIST 0721 - Advanced Bayesian Inference
  • EPID 0653 - Advanced Epidemiologic Research Methods
  • EPID 0656 - Intermediate Epidemiologic Research Methods
REQUIRED DOCTORAL RESEARCH AND RELATED COURSES (24 credits)
  • RESH 0701 - Doctoral Colloquium I (0 credits) Taken in fall and spring in Year 1 (required)
  • RESH 0702 - Doctoral Colloquium II (0 credits) Taken in fall and spring in Year 2 (required)
  • RESH 0760 - Doctoral Research (20 credits)
  • RESH 0761 - Doctoral Research: Dissertation Proposal Seminar (3 credits) Taken in Year 2, second semester
  • 1611-5556 - Ethical Scientific Conduct (1 credit) [Offered through School of Graduate Studies] Taken in spring in Year 1
OTHER DOCTORAL REQUIREMENTS (0 credits)
  • RESH 0730 - Ph.D. Seminar (0 credits) Attend Ph.D. seminar once per month for fall and spring semesters, every year (required)
  • Earn a Teaching Certificate from Rutgers Teaching Assistant Program (TAP) (0 credits) or complete HBSP 0725 - Effectively Teaching and Training Adults (3 credits)
  • Pass Qualifying Exam (written and oral) Typically completed at the end of Year 2
  • Complete Ethical Scientific Conduct Refresher (0 credit) Taken in Year 5
 
For additional information, contact RU-info at 732/932-info (4636) or colonelhenry.rutgers.edu.
Comments and corrections to: Campus Information Services.

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