The statistics/biostatistics major is intended for those who wish to pursue graduate work in statistics or otherwise obtain employment in a statistics-related field, especially biostatistics.
Program Highlights
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Classes that offer programming using statistical software packages
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A variety of classes employing different statistical concepts
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Classes that contain “real-world” statistical analysis problems
Careers
Check out these ideas from ODU's Center for Career & Leadership Development and the Occupational Information Network (O*NET). A median salary is a midpoint of what people typically earn—half of those surveyed earned above the median salary, and half earned below.
Risk Management Specialists
Analyze and manage risk management issues by identifying, measuring, and making decisions on operational or enterprise risks for an organization.
Statisticians
Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as bio-statistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
Operations Research Analysts
Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, service, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.
Requirements
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Math Core courses: 34 credits (GPA of 2.3)
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Statistics specific courses: 18 credits
Transfer
At ODU, we understand that as a transfer student you have unique needs that require a wide array of campus resources. The Center for Advising Administration and Academic Partnerships aims to create a transfer inclusive culture that supports the successful...
Featured Courses
Use of SAS and R to handle data sets. Topics for SAS include data input, creating permanent data sets, merging data sets, creating new variables, sorting, printing, charting, formatting, IML programming, macro programming, and an overview of proc SQL and other statistical procedures. Topics for R include data structure, control structure, writing functions, and graphics. Prerequisites: grade of C or better in STAT 130M or equivalent and a grade of C or better in MATH 316 or equivalent or permission of instructor.
Topics include types of categorical data, relative risk and odds ratio measures for 2 x 2 tables, the chi-square and Mantel-Haenszel tests, Fisher's exact test, analysis of sets of 2 x 2 tables using Cochran-Mantel-Haenszel methodology, analysis of I x J and sets of I x J tables for both nominal and ordinal data, logistic regression including the logit and probit models. Emphasis will be on the application of these statistical tools to data related to the health and social sciences. Interpretation of computer output will be stressed. Prerequisites: A grade of C or better in STAT 431/STAT 531. Pre- or corequisite: STAT 405/STAT 505.
This course will introduce basic statistical concepts and methods used in clinical trials. Topics include trial designs, including parallel, group allocation, cross-over, and factorial designs; randomization; sample size and power calculation; survival analysis; and monitoring of trials for safety and efficacy. Prerequisites: A grade of C or better in STAT 431/STAT 531.
Cost
Estimated rates for the 2024-25 academic year. Rates are subject to change. Other fees are assessed for special services and certain academic programs. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.
Ways to Save
Here are a few ways for you to save on the cost of attending ODU. For more information visit University Student Financial Aid.
Contact
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