The Doctor of Philosophy (Ph.D.) focuses on developing the necessary skills to perform and evaluate rigorous research. Graduates are prepared for careers in teaching and research at academic institutions as well as in other public and private organizations characterized by innovation and technological leadership. The program blends highly theoretical with more applied or pragmatic research. The fields of research supported by the program are defined by the diverse specializations of the department faculty. Students in the Ph.D. program work closely with faculty to develop world-class expertise in their chosen fields of research. Advising faculty expect doctoral students to become collaborators, supporting the faculty's research agenda, and contributing towards their research goals.
Program Highlights
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The complete program is available through Old Dominion University’s distance learning program
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Courses are scheduled in the evenings
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Nine-time recipient of American Society for Engineering Management (ASEM) Excellence Award
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Collaborative environment built on the unique relationship between the faculty advisor and the doctoral student
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Students are placed with an advisor with expertise in the student’s research area
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A high degree of flexibility is provided to customize the plan of study, taking into account the diversity in the fields of study, the multidisciplinary nature and variety of research that is undertaken
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.
Engineering Teachers, Postsecondary
Teach courses pertaining to the application of physical laws and principles of engineering for the development of machines, materials, instruments, processes, and services. Includes teachers of subjects such as chemical, civil, electrical, industrial, mechanical, mineral, and petroleum engineering. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
Alumni Careers
Requirements
Admission to the Ph.D. program is competitive. The admission process is designed to select applicants that have a strong alignment between their own research interests and an area of specialization of one of the faculty. The best-qualified applicant or applicants for an area of specialization are then selected. The number of students admitted into any faculty's area of specialization is dependent on the faculty's projected ability to advise additional doctoral students. The selection is based on the applicants' academic history, maturity in the development of research capabilities, and proficiency in specialized skills demanded by the research area. In addition to general University admission requirements, which include English language proficiency for international students, applicants must have:
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A master's degree or equivalent with a grade point average of 3.50 in an appropriate field from an accredited institution of higher education
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An undergraduate degree with a GPA of 3.0 or higher from an ABET-accredited program in engineering or engineering technology, or from an accredited program in applied science
Featured Courses
This course prepares engineering practitioners to produce systemic applied research or robust project solutions. In the applied research track, students will learn and apply the methods, tools, and concepts required for specifying the research purpose, proposal preparation, understanding the current state of the discipline, selecting and executing the appropriate research methodology, analyzing and synthesizing results, and preparing defensible publications. In the engineering project track, students will learn problem definition and scoping, project proposal preparation, methods for establishing the current state of the problem, analytical and experimental designs for testing proposed solutions, robust methods for solution optimization, and solution validation.
Introduction to modeling multivariate structural and residual variation, using exploratory data analysis, nonparametric regression, dependence regression, and factor analytic models, with a goal of producing robust, generalizable multivariate models that support research findings. Statistical analyses will be performed in the free general public licensed R statistical software with references to Minitab and SPSS.
The objectives of the course are to provide fundamental knowledge and skills of Big Data for the new generation of researchers, engineers, project managers and business managers in the emerging data-driven science and engineering paradigm. Topics to be covered include data analytics, cloud platforms and tools for Big Data, and innovative applications of Big Data.
Cost of Attendance
We believe in providing students with transparent and accessible information about the cost of attendance.
Review the estimated tuition rates for the 2024-25 academic year (subject to change). Other fees are assessed for special services and certain academic programs. Non-resident rates are charged for anyone who is not a current Virginia resident, including international students.
Ways to Fund Your Degree
There are a few ways for you to save on the cost of attending Old Dominion University, including scholarships, assistantships, and student loans. For more details about financial aid at Old Dominion, visit the Financial Aid Office page.
Financial Aid
Financial aid is available to graduate students at Old Dominion University. Financial aid may be available in the form of University fellowships, tuition grants, and research assistantships. In addition to the financial aid offered by the University, graduate students may be eligible for aid and student loans administered by other agencies. For information about part-time employment, scholarships, and student loans, contact the Office of Student Financial Aid.
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