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Degrees Offered, Concentrations, and Course Requirements
The MPH degree program with a concentration in biostatistics is a 47 credit degree that includes core courses in epidemiology, health services administration, environmental health, and behavioral sciences, as well as introductory and advanced courses in biostatistical methods.
The M.S. in Biostatistics is a two-year 42-credit degree program that begins with a core of advanced biostatistical methods and statistical theory and continues with electives in biostatistical methods directly applicable in public health.
The Ph.D. in Biostatistics is an advanced, research-oriented degree program requiring in-depth study and research in a particular area of emphasis within biostatistics. The core curriculum includes coursework in advanced statistical methods and statistical theory. Additional coursework will include categorical data analysis, survival analysis, multivariate statistics, linear models, generalized linear models, statistical computing, design and analysis of clinical trials, and other advanced statistical methods. Ph.D. students will also receive training in research ethics, hands-on experience in statistical consulting, and gain teaching experience and through a formal teaching practicum. These students will also have the opportunity to take elective courses in epidemiology and other core disciplines in public health. Advanced coursework in bioinformatics, in which students learn how to apply and develop advanced statistical methods for the analysis of micro-array, genomic, and proteomic data, will also be available.
Entry Requirements for all degree programs are differential and integral calculus (through calculus III) and introductory linear algebra. In some cases, a student deficient in some of the entry requirements may be admitted provided a plan for remediation is developed and approved by the faculty.
Coursework
MPH-Biostatistics Concentration
Sequence of Courses
Fall I Semester — 13 hours |
BIOS 6266* |
Principles of Applied Statistics |
3 hrs |
Program Faculty |
BIOS 6223 |
Introduction to the Theory of Probability |
3 hrs |
Program Faculty |
ENHS 6238 |
Principles of Environmental Health |
3 hrs |
Hu |
EPID 6210 |
Principles of Epidemiology |
3 hrs |
Peters |
BIOS 6298 |
Seminar in Biostatistics |
1 hr |
Program Faculty |
Spring I Semester — 9 hours |
BIOS 6267 |
Applied General Linear Models |
3 hrs |
Program Faculty |
BIOS 6224 |
Introduction to Statistical Inference |
3 hrs |
Program Faculty |
EPID 6216 |
Biological Basis of Health |
3 hrs |
Scribner |
PUBH 6800 Practice Experience — 3-5 hours |
Fall II Semester — 12 hours |
BIOS 6244 |
Analysis of Categorical Data in the Health Sciences |
3 hrs |
Program Faculty |
BIOS 6226 |
Survival Analysis |
3 hrs |
Program Faculty |
BCHS 6212 |
Behavioral Science Theories |
3 hrs |
Program Faculty |
HPSM 6268 |
Health Services Admin and Management |
3 hr |
Program Faculty |
Spring II Semester — 9 hours |
BIOS |
Biostatistics Elective |
3 hrs |
Program Faculty |
BIOS 6296 |
Statistical Consulting in the Health Sciences |
2 hrs |
Program Faculty |
INTER 260 |
Responsible Conduct in Research |
1 hr |
Program Faculty |
PUBH 6600/
BIOS 6900 |
Capstone /
Thesis Research |
3-4 hrs |
Program Faculty |
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M.S. in Biostatistics
Sequence of Courses
Fall I Semester — 11 hours |
BIOS 6266 |
Principles of Applied Statistics |
3 hrs |
Program Faculty |
BIOS 6223 |
Introduction to the Theory of Probability |
3 hrs |
Program Faculty |
EPID 6210 |
Principles of Epidemiology |
3 hrs |
Simonsen |
INTER 220 |
Ethics in Biomedical Sciences |
1 hr |
Program Faculty |
BIOS 6298 |
Seminar in Biostatistics |
1 hr |
Program Faculty |
Spring I Semester — 11 hours |
BIOS 6267 |
Applied General Linear Models |
3 hrs |
Program Faculty |
BIOS 6224 |
Introduction to Statistical Inference |
3 hrs |
Program Faculty |
BIOS |
Biostatistics Elective |
3 hrs |
Program Faculty |
BIOS 6298 |
Seminar in Biostatistics |
1 hr |
Program Faculty |
INTER 260 |
Responsible Conduct in Research |
1 hr |
Program Faculty |
Fall II Semester — 10 hours |
BIOS 6244 |
Analysis of Categorical Data in the Health Sciences |
3 hrs |
Program Faculty |
BIOS 6226 |
Survival Analysis |
3 hrs |
Program Faculty |
BIOS |
Biostatistics Elective |
3 hrs |
Program Faculty |
BIOS 6298 |
Seminar in Biostatistics |
0 hr |
Program Faculty |
BIOS 6900 |
Thesis Research |
1-2 hrs |
Program Faculty |
Spring II Semester — 10 hours |
BIOS |
Biostatistics Elective |
3 hrs |
Program Faculty |
BIOS |
Biostatistics Elective |
3 hrs |
Program Faculty |
BIOS 6296 |
Statistical Consulting in the Health Sciences |
2 hrs |
Program Faculty |
BIOS 6298 |
Seminar in Biostatistics |
0 hr |
Program Faculty |
BIOS 6900 |
Thesis Research |
2-5 hrs |
Program Faculty |
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Ph.D. in Biostatistics
Typical sequence of courses during first two years
Fall I Semester — 12 hours |
BIOS 6266 |
Principles of Applied Statistics |
3 hrs |
Program Faculty |
BIOS 6223 |
Introduction to the Theory of Probability |
3 hrs |
Program Faculty |
BIOS 6210* |
Introduction to Statistical Computing |
3 hrs |
Program Faculty |
EPID 6210 |
Principles of Epidemiology |
2 hrs |
Simonsen |
INTER 220 |
Ethics in Biomedical Sciences |
1 hr |
Program Faculty |
BIOS 6298 |
Seminar in Biostatistics |
0 hr |
Program Faculty |
Spring I Semester — 11 hours |
BIOS 6267 |
Applied General Linear Models |
3 hrs |
Program Faculty |
BIOS 6224 |
Introduction to Statistical Inference |
3 hrs |
Program Faculty |
BIOS 6244 |
Analysis of Categorical Data in the Health Sciences |
3 hrs |
Program Faculty |
BIOS 6298 |
Seminar in Biostatistics |
1 hr |
Program Faculty |
INTER 260 |
Responsible Conduct in Research |
1 hr |
Program Faculty |
Fall II Semester — 12 hours |
BIOS 6269 |
Theory of General Linear Models |
3 hrs |
Program Faculty |
BIOS 6226 |
Survival Analysis |
3 hrs |
Program Faculty |
BIOS 6283 |
Advanced Theory of Inference I |
3 hrs |
Program Faculty |
BIOS 6296 |
Statistical Consulting in the Health Sciences |
2 hrs |
Program Faculty |
BIOS 6298 |
Seminar in Biostatistics |
0 hr |
Program Faculty |
BIOS 6900 |
Thesis Research |
1-2 hrs |
Program Faculty |
Spring II Semester — 10 hours |
BIOS 6231 |
Introduction to Stochastic Processes |
3 hrs |
Program Faculty |
BIOS |
Biostatistics/Minor Elective/MS Thesis Hours |
3 hrs |
Program Faculty |
BIOS |
Biostatistics Elective/MS Thesis Hours |
3 hrs |
Program Faculty |
BIOS 6298 |
Seminar in Biostatistics |
1 hr |
Program Faculty |
* Proposed course to be added to curriculum |
Required Courses in the PhD in Biostatistics Curriculum |
BIOS 6210* |
Introduction to Statistical Computing |
BIOS 6223 |
Introduction to the Theory of Probability |
BIOS 6224 |
Introduction to Statistical Inference |
BIOS 6226 |
Survival Analysis |
BIOS 6231 |
Introduction to Stochastic Processes |
BIOS 6244 |
Analysis of Categorical Data in the Health Sciences |
BIOS 6266 |
Principles of Applied Statistics |
BIOS 6267 |
Applied General Linear Models |
BIOS 6269 |
Theory of General Linear Models |
BIOS 6270 |
Generalized Linear Models |
BIOS 6283 |
Advanced Theory of Inference I |
BIOS 6296 |
Statistical Consulting in the Health Sciences |
BIOS 6700* |
Teaching Practicum in Biostatistics |
BIOS 6298 |
Seminar in Biostatistics |
EPID 6210 |
Principles of Epidemiology |
INTER 220 |
Ethics in Biomedical Sciences |
INTER 260 |
Responsible Conduct in Research |
Core Courses in the PhD in Biostatistics Curriculum |
BIOS 6210* |
Introduction to Statistical Computing |
BIOS 6223 |
Introduction to the Theory of Probability |
BIOS 6224 |
Introduction to Statistical Inference |
BIOS 6226 |
Survival Analysis |
BIOS 6244 |
Analysis of Categorical Data in the Health Sciences |
BIOS 6266 |
Principles of Applied Statistics |
BIOS 6267 |
Applied General Linear Models |
EPID 6210 |
Principles of Epidemiology |
Note: Qualifying examinations are based on material from the core courses and are usually offered at the beginning of the student’s 4th semester. |
Elective Courses
Students will choose elective credit hours from the following two lists. |
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Level 1 electives: At least two courses from this group. |
BIOS 6227 |
Statistical Programming and Numerical Methods |
BIOS 6243* |
Nonparametric Inference |
BIOS 6250 |
Multivariate Methods |
BIOS 6268 |
Mixed Models |
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Level 2 electives: At least two courses from this group |
BIOS 6230* |
Applied Bayesian Analysis |
BIOS 6241 |
Sampling Methods in the Health Sciences |
BIOS 6242 |
Design and Analysis of Experiments |
BIOS 6260 |
Applied Longitudinal Analysis |
BIOS 6264 |
Clinical Trials |
BIOS 6274 |
Biomedical Image Analysis |
BIOS 6275 |
Design and Analysis of Expression Studies |
NOTE: In addition to the courses listed above, there will also be Special Topics courses that will qualify as approved electives for the proposed Ph.D. program. |
For the Bioinformatics Concentration within the Ph.D., two of the electives from Level 1 and one from Level 2 will be satisfied by the following: |
EPID 6220 |
Molecular Epidemiology |
BIOS 6272* |
Statistical Methods in Bioinformatics |
BIOS 6275 |
Design and Analysis of Expression Studies |
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