MD Anderson Cancer Center UTHealth
Graduate School of Biomedical Sciences

Biostatistics Track

In addition to the general QS Program requirements, the Biostatistics Track requires students to take the following courses:

Course Requirements for PhD students who matriculated in or after 2019

  1. GS01 1033 - Introduction to Biostatistics and Clinical Trials
  2. GS01 1023 – Survival Analysis
    1. Alternate course option: PH1831 (UT-SPH) – Survival Analysis

Electives:

  1. STAT 518 (Rice)- Probability (Required for students with no prior background)
    1. Alternate course option: PH1910 (UT-SPH) Theory of Biostatistics I
  2. STAT 519 (Rice) - Statistical Inference (Highly encouraged for students with no prior background)
    1. Alternate course option – PH1911 (UT-SPH) Theory of Biostatistics II
  3. STAT 532 (Rice) - Foundations of Statistical Inference I
  4. PH1915 (UT-SPH) - Linear Models I (highly recommended for students with no prior background)
  5. STAT 605 (Rice) - R for Data Science (highly recommended for students with no prior background)
    1. Alternate course option – PH1975 (UT-SPH) Introduction to Data Science
  6. PH1918 (UT-SPH) - Statistical Methods in Correlated Outcomes
  7. PH1835 (UT-SPH) - Statistical Methods in Clinical Trials
  8. GS01 1233 - GLM and Categorical Data Analysis
    1. Alternate course option – PH1830 (UT-SPH) Categorical Data Analysis
    2. Alternate course option – PH1916 (UT-SPH) Generalized Linear Models
  9. GS01 1273 - Modern Nonparametrics

Biostatistics Track Timeline

Year 1, Fall

Introduction to Bioinformatics - GS01 1143

QS Student Seminar Series - GS01 1031

(STAT 518 (Rice) - Probability - required for students with no prior background)
(Strongly encourage to take PH1915 (UT-SPH) or STAT 615 (Rice) - Linear Regression for students with no background)
(Strongly encourage to take PH1975 (UT-SPH) or STAT 605 (Rice) - R for Data Science for students with no background)

Year 1, Spring

Biostatistics for Life Sciences - GS14 1612

Introduction to Biostatistics and Clinical Trials - GS01 1033

Survival Analysis - GS01 1023

QS Student Seminar Series - GS01 1031

(Strongly encourage to take STAT 519 (Rice) Statistical Inference for students with no background)

Year 2, Fall

QS Student Seminar Series - GS01 1031

Journal Club (attend for one semester during degree program - may be done after candidacy exam)

Year 2, Spring

QS Student Seminar Series - GS01 1031

Scientific Writing - GS21 1152

Course Requirements for PhD students who matriculated prior to 2019

  1. STAT 518 (Rice) - Probability
    1. Alternate course option: PH1910 (UT-SPH) Theory of Biostatistics I
  2. PH1915 (UT-SPH) - Linear Models I
  3. STAT 605 (Rice) - R for Data Science
    1. Alternate course option – PH1975 (UT-SPH) Introduction to Data Science
  4. GS01 1233 - GLM and Categorical Data Analysis
    1. Alternate course option – PH1830 (UT-SPH) Categorical Data Analysis
    2. Alternate course option – PH1916 (UT-SPH) Generalized Linear Models
  5. GS01 1023 – Survival Analysis
    1. Alternate course option: PH1831 (UT-SPH) – Survival Analysis