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.
Additional Requirement for Admission to the Ph.D. in Computational Sciences
The following is a requirement in addition to those that are part of the general doctoral admissions requirements:
- Master’s degree in science or engineering disciplines with a strong background in applied mathematics, statistics, numerical analysis, simulation and modeling, and programming languages.
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.
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.