Computational & Applied Mathematics (M.S.)
The master’s program in computational and applied mathematics offered by the Department of Mathematics and Statistics is designed to produce applied mathematicians and statisticians who can meet the growing demand for analytical and computational skills in traditional scientific and multi-disciplinary fields. Students in the program can choose to pursue an option in either applied mathematics, statistics, or biostatistics.
Computational & Applied Mathematics (M.S.)
Description
What is Computational & Applied Mathematics at ODU like?
The master’s program in computational and applied mathematics offered by the Department of Mathematics and Statistics is designed to produce applied mathematicians and statisticians who can meet the growing demand for analytical and computational skills in traditional scientific and multi-disciplinary fields. Students in the program can choose to pursue an option in either applied mathematics, statistics, or biostatistics.
Program Highlights
What makes Computational & Applied Mathematics at ODU unique?
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ODU is one of the few institutions around the world that offers a Computational and Applied Mathematics graduate program, rather than a traditional mathematics program.
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Coursework for the M.S. degree contains a significant component in Big Data Analytics
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Distinguished by its connections to Modeling and Simulation research throughout the campus
AT A GLANCE
College / School:
Major:
Computational and Applied Mathematics
Degree Level:
Graduate
Careers
What are some careers in this field?
Check out these ideas from ODU Career Development Services and the Occupational Information Network (O*NET). A median salary is the midpoint of what people typically earn—half of those surveyed earned above the median salary, and half earned below.
Mathematical Science Teachers, Postsecondary
$84,710
MEDIAN SALARY
Teach courses pertaining to mathematical concepts, statistics, and actuarial science and to the application of original and standardized mathematical techniques in solving specific problems and situations. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
Secondary School Teachers, Except Special and Career/Technical Education
$62,860
MEDIAN SALARY
Teach students in one or more subjects, such as English, mathematics, or social studies at the secondary level in public or private schools. May be designated according to subject matter specialty.
Actuaries
$114,850
MEDIAN SALARY
Analyze statistical data, such as mortality, accident, sickness, disability, and retirement rates and construct probability tables to forecast risk and liability for payment of future benefits. May ascertain insurance rates required and cash reserves necessary to ensure payment of future benefits.
Statisticians
$88,980
MEDIAN SALARY
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.
Employers
Graduates from this major have gone to work at
Food and Drug Administration, Newport News Shipbuilding, Eastern Virginia Medical School, Pfizer, Oak Ridge National Laboratory, Naval Surface Warfare Center, Virginia Beach City Public Schools, Norfolk Public Schools
Courses
What are some courses offered in Computational & Applied Mathematics at ODU?
BDA 511:
Introduction to Machine Learning I
An introductory course on machine learning. Machine Learning is the science of discovering pattern and structure and making predictions in data sets. It lies at the interface of mathematics, statistics and computer science. The course gives an elementary summary of modern machine learning tools. Topics include regression, decision trees, artificial neural networks, genetic algorithms, clustering, dimension-reduction, learning sets of rules, support vector machines, hidden Markov models, and Bayesian learning. The course will also discuss applications of machine learning that include data mining, bioinformatics, speech recognition, and text and web data processing. Students enrolled are expected to have some ability to write computer programs, some knowledge of probability, statistics and linear algebra. Prerequisites: MATH 312, MATH 316, and STAT 330 or STAT 331.
BDA 531:
Modern Statistical Methods for Big Data Analytics
The statistical perspective of data mining is emphasized for the majority of the course. Both applied aspects |programming, problem solving, and data analysis) and theoretical concepts |learning, understanding, and evaluating methodologies) of data mining will be covered. Topics may include data preparation, data cleaning, exploratory data analysis, statistical estimation and prediction, regression modeling, clustering, classification and regression trees. An elementary knowledge of concepts in probability and statistics and basic computing proficiency are required. Prerequisites: A grade of C or better in STAT 331 and STAT 405.
STAT 625:
Mathematical Statistics I
An introduction to probability. Topics include axiomatic foundations of probability, conditional probability, Bayes formula, random variables, density and mass functions, stochastic independence, expectation, moment generating functions, transformations, common families of distributions, multiple random variables, covariance and correlation, multivariate distributions, convergence concepts, law of large numbers, limit theorems. Prerequisites: A grade of C or better in STAT 531.
Requirements
What are the requirements to apply for Computational & Applied Mathematics at ODU?
Students entering the Master of Science program in Computational & Applied Mathematics should meet the minimum university admission requirements (Graduate Admission)
The M.S. candidate must complete a minimum of 33 normal credit hours of course work designed to fulfill an option in either applied mathematics, statistics or biostatistics. The M.S. candidate will be assigned to a faculty advisor for a master’s project. The master’s project is designed not only to broaden students’ analytical competency but also to enhance students’ writing and reporting skills on a technical subject.
Cost
Tuition and Fees
Estimated rates for the 2022-23 academic year. Rates are subject to change. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.
Virginia Resident
Per Credit:
$ 571
Non-Resident
Per Credit:
$ 1,394
Technology Delivered Courses Outside Virginia and/or the United States
Per Credit:
$ 595
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
Next Steps
I like this program. What are the next steps?
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Contact
Need help applying?
Meet Your Enrollment Team
Our enrollment coordinators are ready to help you through the admissions process.
PROFESSOR
Name:
Ruhai Zhou
Location:
2107 ENGR & COMP SCI BLDG, NORFOLK, VA, 23529
Email:
Office:
757-683-4378
Graduate Admissions
Location:
1000 Rollins Hall, Norfolk, VA 23529
Phone Office:
757-683-3685
Fax:
757-683-6512
Email:
gradadmit@odu.edu
International Admissions
Location:
2101 Dragas Hall, Norfolk, VA 23529
Phone Office:
757-683-3701
Fax:
757-683-3651
Email:
intladm@odu.edu
Additional Programs
Are there other programs at ODU I may be interested in?
With over 120 undergraduate programs, 130 graduate programs at the master's, education specialist and doctoral levels plus a wealth of certificate and professional development programs, Old Dominion University has the program for you. Visit our academic program listing page to see other programs ODU has to offer.
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