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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