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May 20, 2025
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2024-2025 Graduate Catalog w/ September Addendum [ARCHIVED CATALOG]
Computational Sciences, Ph.D.
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The Computational Sciences Ph.D. program is a multi-disciplinary, collaborative, and innovative initiative that promotes conducting research in science and technology. The program curriculum is designed around the intellectual skills needed in the rapidly changing character of research in the field and its applications in natural sciences. In addition, the program aims to help make researchers more competitive for external research funds, foster the development of cross-disciplinary and interdisciplinary research and scholarship, and expand graduate student enrollment in our graduate programs, in compliance with Harrisburg University’s institutional mission statement and strategic plans.
Mission Statement
The Ph.D. Computational Sciences Program is an academic, research-oriented graduate program that emphasizes multidisciplinary training in innovative research in computational components and systems of computer science and its applications in natural science disciplines. The program is intended for science and engineering students who need extensive use of large-scale computation, computational methods, or algorithms for advanced computer design architectures in their doctoral studies. A firm knowledge of scientific discipline method theory and practice is essential.
Program Goals
The Ph.D. Computational Sciences Program will produce graduates who:
- Perform independent, competitive scientific research;
- Utilization of the scientific method;
- Realize computational solutions to real-world problems;
- Make contributions to the discipline through disseminated results;
- Adhere to the ethical and moral obligations in all professional activities; and,
- Promote quality of life through local and global computing systems.
*Work experience is a requirement for successful applied learning during the full course of your degree program. If you are an F1 student, eligible CPT authorizations are required. If you are unable to work, you must submit a Waiver of Required Work Experience to your program lead.
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Computational Sciences Requirements
The following comprises the requirements for the Ph.D. in Computational Sciences. Requirements include a minimum of 36 semester hours and non-credit program requirements. When applicable, the semester hour value of each course appears in parentheses ( ). Additional information regarding Doctorate programs can befound in the Doctorate Guidebook. Complete 9 semester hours from the following doctoral Breadth courses:
Complete 6 semester hours from the following doctoral Depth courses:
(A list of potential Computational Science Areas of Study is provided below) Complete 3 semester hours of Research Symposium:
Collaborative Institutional Training Initiative (CITI) Training
CITI Training includes training modules on human subjects and ethical research. Harrisburg University requires that all research involving human subjects, including the use of secondary and primary data, be reviewed by the University’s Institutional Review Board (IRB) to ensure protection of the rights of human subjects. Qualifying Exam
The student will demonstrate fundamental knowledge by successfully completing a Qualification Examination (QE). Complete 6 semester hours of Doctoral Research Seminar:
(specific to the area of research) Research Proposal Defense
The student will be required to have a Doctoral Dissertation Committee established. Institutional Review Board (IRB) Approval
The student will receive approval of research from Harrisburg University’s Institutional Review Board (IRB). Complete 12 semester hours of Doctoral Dissertation:
Potential Computational Science Areas of Study
Topics may include, but are not limited to: | | | | | | - High Performance Computing Systems
| | | - Deep Learning Software Engineering
| - Accelerated Computational Solutions
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