Admissions Requirements
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Official transcripts reflecting an earned bachelor’s degree, with a 3.0 or higher grade point average for the last 60 undergraduate or the last 18 graduate/post-baccalaureate credit hours completed.
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All non-US transcripts must be evaluated by the World Education Service (WES) using their ICAP Course-by-course evaluation service.
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The GRE is optional for all applicants, but it is highly recommended for any applicant with below a 3.0 GPA from their previous coursework.
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Three letters of recommendation from academic or professional references.
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A resume reflecting one or more years of work/volunteer history related to health and/or human services.
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A one-page personal statement.
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Official Test of English as a Foreign Language (TOEFL) scores are required of all applicants whose primary language is not English or whose undergraduate degree is from a college or university outside of the United States.
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Biostatistics Concentration Prerequisites:
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The student must have received the equivalent of a grade of B or better in a college-level statistics course, differential calculus and integral calculus.
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| Code | Title | Credit Hours |
|---|---|---|
| CORE COURSES | ||
| CPH 500 | FOUNDATIONS OF PUBLIC HEALTH | 3 |
| CPH 504 | EPIDEMIOLOGY IN PUBLIC HEALTH | 3 |
| CPH 506 | BIOSTATISTICS | 3 |
| CPH 514 | PLANNING AND EVALUATION | 3 |
| CPH 539 | PUBLIC HEALTH: LEADERSHIP AND ADVOCACY | 3 |
| CONCENTRATION COURSES | ||
| CPH 517 | DESIGN OF MEDICAL HEALTH STUDIES | 3 |
| CPH 651 | INTRODUCTION TO SAS PROGRAMMING | 3 |
| CPH 652 | BIOSTATISTICAL LINEAR MODELS: METHODS AND APPLICATION | 3 |
| CPH 653 | CATEGORICAL DATA ANALYSIS | 3 |
| ELECTIVE COURSES (9 credit hrs) | 9 | |
| CPH 528 | APPLIED PRACTICE EXPERIENCE | 3 |
| CPH 529 | CAPSTONE EXPERIENCE | 3 |
| Total Credit Hours | 42 | |
Concentration Competencies
| BIOSMPH1 | Employ effect size, sample size, and power calculations in the design or interpretation of studies as appropriate for the specific reserach questions and hypotheses. |
| BIOSMPH2 | Apply appropriate statistical methods for estimation and inference, using a software package for data management, statistical analyses, and data presentation. |
| BIOSMPH3 | Apply statistical methods for quality control and data cleaning to already collected data, verify assumptions of statistical tests and models, and implement appropriate methods to address any issues discovered. |
| BIOSMPH4 | Develop written and oral presentations based on statistical findings for both public health professionals and lay audiences. |
| BIOSMPH5 | Evaluate the strengths and limitations of study design and statistical analyses of public health and biomedical studies. |
| BIOSMPH6 | Communicate ethical considerations in research, study design, and data handling, analysis, and interpretation. |