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Degree Planner: FOR FALL 2016 – SUMMER 2017 ENTERING STUDENTS
PHD: Biostatistics Major
Name: _________________________ Student Number: ____________________ Department: _____________________Campus: ______________________ Date: _________________
Course
Credits
Term
Title
Sem 1
Sem 2
Sem 3 Sem 4 Sem 5 Sem 6 Sem 7 Sem 8
Sem 9 Sem 10 Sem 11 Sem 12 Sem 13 Sem 14 Sem 1
Term/yr Term/yr Term/yr Term/yr Term/yr Term/yr Term/yr Term/yr Term/yr Term/yr Term/yr Term/yr Term/yr Term/yr Term/
MAJOR COURSES (** is for students with no previous stat/biostat MS)
Applied Statistical Analysis I
Applied Statistical Analysis II
Categorical Data Analysis
Survival Analysis
Theory of Biostatistics I
Theory of Biostatistics II
Linear Models
Stochastic Processes in Biostatistics I
Biostatistics Seminar
Teaching Methods in Biostatistics
OTHER REQUIRED COURSE (3 credits)
PH
3
At least one Epidemiology course (if not
already covered in the minor or breadth
area)
Choose from a program in another Department and consult with your chosen Department for requirements
MINOR ( credit hours)
PH 1820**
PH 1821**
PH 1830
PH 1831
PH 1910**
PH 1911**
PH 1915
PH 1950
PH 1988
PH 1998
3
3
3
3
3
3
3
3
1
1
a,b
b
a,b
a,b
a
b
a
b
a,b
a,b
Choose 3 courses from another Department (9 credit hours) or from Bioinformatics (see below)
Bioinformatics Breadth (9 credit hours – see list below)
CHOOSE 2 (6 hours)
PH 1980
3
Introduction to Genomics and Bioinformatics; OR
a
PH 1982
3
a (odd yrs)Evolution of DNA and Protein Sequences; OR
PH 1984
3
Population Genetics; OR
b
PH 1985
3
Data Mining and Statistical Learning; OR
b
PH 1986
3
Introduction to Statistical Genetics; OR
a
PH 1998
3
see sched Advanced Multivariate Analysis with Applications to
Genomic Science
3
2
BREADTH
AND one additional course that is not from
Biostatistics or Epidemiology
quantitativequantative
Updated May 2016
ELECTIVES (
PH 1998
PH 1965
PH 1916
PH 1855*
3
3
3
3
-b
b
b
Advanced Survival Analysis
Bayesian Data Analysis
Generalized Linear Models
Distribution-free Methods
3
3
3
3
3
--a
a
b
Non-Parametric Regression
Spatial Statistics
Statistical Computing
Statistical Methods in Clinical Trials
Statistical Methods in Correlated Outcome
Analysis
3
b
Statistical Methods for Handling Missing
Data
3
c
Stochastic Processes II
3
a
Time Series Analysis
3
b
Sampling Techniques
PH 1998
3
--
Applied Multivariate Analysis
PH 1998
3
--
Data Mining Methodology
PH 1982*
3
a
Evolution of DNA and Protein Sequences
PH 1998
3
--
Introduction to Computational System
Biology
PH 1980
3
a
PH 1986
3
a
Introduction to Genomics and
Bioinformatics
Statistical Genetics
PH 1984
3
b
Population Genetics
PH 1999
1-9
--
Individual Study in Biostatistics
credit hours)
*even yrs
PH 1998
PH 1998
PH 1930
PH 1835
PH 1918*
*even yrs
PH 1840*
*even yrs
PH 1951*
*odd yrs
PH 1960*
*odd yrs
PH 1745*
*odd yrs
*odd yrs
OTHER (e.g. CONCENTRATIONS)
2
Updated May 2016
Dissertation (3-6 credit hours)
PH 9999
3
Dissertation
Total
Credits:
NOTE: (Students with an MS degree in the related areas may be able to waive select courses)
*CHECK COURSE SCHEDULE EACH TERM - Terms may change from those listed above
2
Updated May 2016