Ph.D. Computational Science: Computer Science

Program Information:

The purpose of the Computer Science concentration in Ph.D. of Computational Science program is to prepare graduates to apply and innovate advanced computational science design, modeling, simulation, and analytics for interdisciplinary areas. Graduates are also prepared to contribute their expertise in an environment of interdisciplinary teamwork. They will impact nationally critical areas such as national security, sustainable energy, medical and healthcare, incorporate and manufacture critical infrastructure, etc. Compute Science concentration in Computational Science thereby offers a unique educational environment in which students participate in interdisciplinary team research, with exposure to real-world problems and opportunities for significant interaction with multiple researchers. Admission to the Computational Science: Computer Science program is open to qualified Bachelor’s or Master’s graduates of recognized curricula in engineering, mathematics, computer science or related natural sciences. Although students with a bachelor’s degree can be admitted into the doctoral program without first obtaining a master’s degree, these students are strongly encouraged to apply instead for admission into the Master’s in Computer Science.

Each student’s Program of Study, including possible prerequisite requirements, is tailored to his or her background and research goals. Each applicant is advised about any prerequisite courses before entering the doctoral program. Students entering the program from outside computer science should have a strong background in mathematics and physical sciences. For admission to the doctoral program, students are required (as a minimum) to complete two of the following courses, CPSC 5210, CPSC 5410, and CPSC 5260. Students are required to complete nine additional courses from the core Computer Science master courses. The intent of these courses is to provide student with a sufficient background in Computer Science. To assure the students have the appropriate Mathematical background, students are required to complete a minimum of 6 semester hours of coursework in mathematics selected from MATH 5210, MATH 5600, and MATH 5610 and exclusive of a first course in ordinary differential equations.


Course Work:

Subject/Course Course Name Fall Spring
CPSC 7110 High Performance Scientific Computing    
CPSC 7210 Parallel Scientific Supercomputing    
CPSC 7220 Bioinformatics    
CPSC 7240 Computational Genomics    
CPSC 7250 Advanced Data Science    
CPSC 7600 Secure Software Engineering    
CPSC 7610 Information Security Theory and Practice    
CPSC 7910 Special Topics in Computer Science and Engineering  
CPSC 7930 Graduate Seminar    
CPSC 7950 Doctoral Research
Students learn and practice research methodology including introduction, clearly defined statement of the problem, review of the literature, and an overview of methods to be used or a discussion of optional methods. Students also learn how to identify resources and maintain research integrity. Students prepares for dissertation proposal in this course. This course is repeatable. Graded SP/NP J67.Prerequisite: department head approval. Differential course fee will be assessed.
CPSC 7999 Dissertation
Doctoral research. Preparation and defense of doctoral dissertation. Graded SP/NP. Prerequisite: approval of the student's Ph.D. committee. Differential course fee will be assessed.