Program Statistics
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Biostatistics
Degree Types: MS
The Master of Science (MS) in Biostatistics program is a one-year program, providing graduate biostatistics training for students who intend to plan, direct and execute health research and/or analyze health data. The MS in Biostatistics program is distinguished by its concurrent emphasis on both statistical methodology and computer programming skills. It is a full-time program completed in four quarters or a half-time program completed in eight quarters. All students complete a thesis project in collaboration with biostatistics faculty and other Feinberg School of Medicine faculty researchers.
Three concentration options address a variety of student goals. The Concentration in Population Health Analytics is designed for college graduates or students with professional degrees (e.g. MD, DPT, allied health professionals) who intend to plan, direct and execute health research. The Concentration in Statistical Bioinformatics is designed for college graduates who are interested in working as statistical analysts/programmers on research teams and emphasizes cutting edge computation and analysis for genomics and other bioinformatics ‘big data’. The Concentration in Statistical Methods and Practice is designed for college graduates who are interested in working as statistical analysts/programmers on research teams and encompasses a broader range of statistical theory and methods for data from health and medical research settings.
Upon completion of the program, students will be well-qualified for positions in academic research departments or in the pharmaceutical, insurance, or health care consulting industries.
Additional resources:
Program Contact
Contact Maureen Moran
Associate Director for Admissions and Graduate Affairs
Degree Requirements
The following requirements are in addition to, or further elaborate upon, those requirements outlined in The Graduate School Policy Guide.
Master's
Required Courses: All Concentrations (6 units)
| Course | Title |
|---|---|
| BIOSTAT 301-0 | Introduction to Epidemiology |
| BIOSTAT 302-0 | Introduction to Biostatistics |
| BIOSTAT 306-0 | R Programming |
| BIOSTAT 401-0 | Intermediate Epidemiology |
| BIOSTAT 402-0 | Intermediate Biostatistics |
| BIOSTAT 561-0 | Thesis |
| PUB_HLTH 441-0 | Ethical Issues in Clinical Research |
Additional Required Courses, Selectives and Electives
Concentration in Population Health Analytics
| Course | Title |
|---|---|
| Required (5 units) | |
BIOSTAT 305-0 | Data Management and Analysis in SAS |
BIOSTAT 446-0 | Design, Conduct and Analysis of Clinical Trials |
BIOSTAT 501-0 | Advanced Epidemiology |
BIOSTAT 560-0 | Statistical Consulting |
BIOSTAT 565-0 | Clinical Database Management |
PUB_HLTH 445-0 | Writing and Peer Reviewing for Scientific Publication |
| Selectives | |
| Choose 1 unit | |
PUB_HLTH 412-0 | Infection Disease Epidemiology and Prevention |
PUB_HLTH 524-0 | Cardiovascular Disease Epidemiology |
PUB_HLTH 525-0 | Cancer Epidemiology |
| Electives | |
| Choose 2 units | |
BIOSTAT 303-0 | Introduction to Probability Theory |
BIOSTAT 403-0 | Statistical Inference |
BIOSTAT 445-0 | Introduction to Statistical Learning |
BIOSTAT 499-0 | Independent Study |
BIOSTAT 502-0 | Advanced Biostatistics |
BIOSTAT 527-0 | Statistical Methods for Missing Data |
BIOSTAT 529-0 | Statistical Genetics and Genomic Data Analysis |
PUB_HLTH 301-0 | Behavior, Society & Health |
PUB_HLTH 415-0 | Disease Prevention and Health Promotion: Principles and Application |
Concentration in Statistical Bioinformatics
| Course | Title |
|---|---|
| Required Courses (3.5 units) | |
BIOSTAT 303-0 | Introduction to Probability Theory |
BIOSTAT 403-0 | Statistical Inference |
BIOSTAT 502-0 | Advanced Biostatistics |
BIOSTAT 529-0 | Statistical Genetics and Genomic Data Analysis |
| Selectives | |
| Choose 1 unit | |
BIOSTAT 305-0 | Data Management and Analysis in SAS |
HSIP 441-0 | Health and Biomedical Informatics Methods I |
| Choose 1 unit | |
BIOSTAT 445-0 | Introduction to Statistical Learning |
BIOSTAT 522-0 | Network Data Analysis |
HSIP 442-0 | Biomedical Informatics Methods II |
| Electives | |
| Choose 2.5 units | |
BIOSTAT 446-0 | Design, Conduct and Analysis of Clinical Trials |
BIOSTAT 499-0 | Independent Study |
BIOSTAT 521-0 | Survival Data Analysis |
BIOSTAT 527-0 | Statistical Methods for Missing Data |
BIOSTAT 560-0 | Statistical Consulting |
BIOSTAT 565-0 | Clinical Database Management |
Concentration in Statistical Methods and Practice
| Course | Title |
|---|---|
| Required Courses (6.5 units) | |
BIOSTAT 303-0 | Introduction to Probability Theory |
BIOSTAT 305-0 | Data Management and Analysis in SAS |
BIOSTAT 403-0 | Statistical Inference |
BIOSTAT 446-0 | Design, Conduct and Analysis of Clinical Trials |
BIOSTAT 502-0 | Advanced Biostatistics |
BIOSTAT 521-0 | Survival Data Analysis |
BIOSTAT 560-0 | Statistical Consulting |
| Electives | |
| Choose 1.5 units | |
BIOSTAT 445-0 | Introduction to Statistical Learning |
BIOSTAT 499-0 | Independent Study |
BIOSTAT 527-0 | Statistical Methods for Missing Data |
BIOSTAT 529-0 | Statistical Genetics and Genomic Data Analysis |
BIOSTAT 565-0 | Clinical Database Management |