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
- GS01 1033 - Introduction to Biostatistics and Clinical Trials
- GS01 1023 – Survival Analysis
- Alternate course option: PH1831 (UT-SPH) – Survival Analysis
Electives:
- STAT 518 (Rice)- Probability (Required for students with no prior background)
- Alternate course option: PH1910 (UT-SPH) Theory of Biostatistics I
- STAT 519 (Rice) - Statistical Inference (Highly encouraged for students with no prior background)
- Alternate course option – PH1911 (UT-SPH) Theory of Biostatistics II
- STAT 532 (Rice) - Foundations of Statistical Inference I
- PH1915 (UT-SPH) - Linear Models I (highly recommended for students with no prior background)
- STAT 605 (Rice) - R for Data Science (highly recommended for students with no prior background)
- Alternate course option – PH1975 (UT-SPH) Introduction to Data Science
- PH1918 (UT-SPH) - Statistical Methods in Correlated Outcomes
- PH1835 (UT-SPH) - Statistical Methods in Clinical Trials
- GS01 1233 - GLM and Categorical Data Analysis
- Alternate course option – PH1830 (UT-SPH) Categorical Data Analysis
- Alternate course option – PH1916 (UT-SPH) Generalized Linear Models
- GS01 1273 - Modern Nonparametrics
- GS01 1283 - Foundations of Statistical Inference II (Rice STAT 533)
- GS01 1813 – Topics in Clinical Trials (Rice STAT 630)
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) |
Year 1, Spring |
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
- STAT 518 (Rice) - Probability
- Alternate course option: PH1910 (UT-SPH) Theory of Biostatistics I
- PH1915 (UT-SPH) - Linear Models I
- STAT 605 (Rice) - R for Data Science
- Alternate course option – PH1975 (UT-SPH) Introduction to Data Science
- GS01 1233 - GLM and Categorical Data Analysis
- Alternate course option – PH1830 (UT-SPH) Categorical Data Analysis
- Alternate course option – PH1916 (UT-SPH) Generalized Linear Models
- GS01 1023 – Survival Analysis
- Alternate course option: PH1831 (UT-SPH) – Survival Analysis