PhD PROGRAM IN BIOSTATISTICS

PhD Biostatistics Program

The doctoral degree (PhD) in Biostatistics prepares individuals to understand the mathematical and theoretical basis of statistical methodology; collaborate on the design of research studies in the health sciences; provide advice on the proper collection, entry, storage, retrieval, and manipulation of data; and take primary responsibility for the analysis, interpretation and dissemination of data in a research study using state-of-the-art statistical methods and software. PhD students are also prepared to carry out original methodological research in statistics and apply the resulting methodology to health-related research problems. 

General Information
The PhD program curriculum includes

  • Didactic coursework
    • 40 hours of core coursework
    • 21 hours of elective coursework with at least 9 credit hours at the 9000-level
  • Preliminary and Comprehensive Exams, and
  • Dissertation of original methodological statistical research applicable to the health sciences

Funding for PhD Students
We offer a Graduate Research Assistantship to competitive PhD students that consists:

  • A $20,000 9-month (fall and spring semesters) stipend during course work years and a $25,000 12-month stipend during the research years
  • Student health insurance for a single adult, and
  • Tuition reduction to $25 per semester. 

Graduate Research Assistants provide statistical consulting support as well as methodological statistical work with their mentor in order to gain practical application and methodological development skills on real world applications of biostatistics in the health sciences.

Check out a complete sample list of the courses and course descriptions.

Year

Fall

Spring

Summer

1

STAT 7110 – Statistical Models and Methods (3)

STAT 7520 – Stat

Theory I (3)

 

DATS 7510 –Programming

for Data Analysis (3)

 

BIOM 8011 – RCR (1)

STAT 7630 – Applied

Linear Models (3)

 

STAT 7620 – Stat

Theory II (3)

 

Elective (3)

 

Elective (3)

No summer courses are required.

 

Enrolling in Stat 8890 RR

Is optional (without

summer funding).

 

Year 1: 16 hrs core, 6 hrs elect

2

STAT 9220 Advanced Stat

Inference (3) or

STAT 9120 – Theory of Linear

Models (3)

 

STAT 7640 – Gen Linear

Models I (3)

 

STAT 7720 Survival Analysis (3)

 

STAT 7870 – Biostat

Consulting Research (3)

STAT 9140 -Gen Linear

Models II (3) or

STAT 9240 – Bayesian

Inference (3)

 

DATS 8170 – Advanced

Comp Methods (3)

 

Elective (3)

 

Elective (3)

No summer courses are
required.

 

Enrolling in Stat 8890

RR Is optional (without
summer funding).

 

Year 2: 18 hrs  core,

6 hrs elect

3

STAT 9220 Advanced Stat

Inference (3) or

STAT 9120 – Theory of Linear

Models (3)

 

Elective (3)

Electives (3)

STAT 8890 – RR (3)

1st  attempt Comp Exam:

1st and 2nd wks in fall.

 

2nd attempt: 2 wks before

end of the fall semester.

STAT 9140 – Gen Linear

Models II (3) or

STAT 9240 – Bayesian

Inference (3)

 

Elective (3)

 

STAT 8890 – RR (6)

No summer courses

are required.

 

Enrolling in Stat 8890

RR

is optional (without summer funding)..

 

Year 3: 6 hrs core,

9 hrs. elect, 9 RR

4

STAT 8890 – RR (9-12)

 

Proposal due (1st attempt)

STAT 9300 –Dissertation

Res (DS)  [Enrollment

in 9300 requires pass of the Proposal] (9)

or STAT 8890 RR (9)

 

Proposal due (2nd attmpt)

STAT 9300 – DS (12)

 

Year 4: 9 - 21 hrs RR,

12-21 hrs DS

5

STAT 9300 – DS (12)

STAT 9300 – DS (12)

 

STAT 9300 – DS (12)

 

Year 4: 9 - 21 hrs RR,

12-21 hrs DS

Notes:

  • The Doctor of Philosophy curriculum is not lock-step; students do not graduate as a class at
    the end of the specific semester.
  • The maximum duration of the program is 7 years.
  • STAT 9300 – Dissertation Research must be taken every semester after admission to the
    candidacy until dissertation requirements are met.
  • Funding (GRA) for Biostatistics PhD students is only available for up to 5 years contingent
    upon students’ performance and availability of funds.

INTERESTED IN BECOMING A STUDENT?

For more information on the course pre-requisites and other requirements for
applying to the PhD program in Biostatistics, see our Prospective Students page.

 

Prospective Students