Master of Science in Computer Science
The Master of Science in Computer Science and the Master of Science in Computer Information Systems programs at St. Mary's prepare students to manage a software development project from analysis, design, implementation, testing and maintenance to management of quality, budgets, deliverables, and deadlines. Both programs are designed are designed to provide an understanding of the hardware and software components of computer systems and the following:
- Hardware organization
- Data communication and databases
- Software requirements analysis
- Software design methodologies
- Software implementation and testing
- Computer security
- Project management
- Artificial intelligence,
- Simulation and gaming,
- Languages and
- Computer security
- Current and relevant technical knowledge
- Flexible curriculum including internship and research options
- Evening classes
- Small class sizes with supportive atmosphere
- Multiple class locations
- Faculty with theoretical and real-world experience and lessons
- Academically stimulating community
- Cooperative and collaborative learning environment
Program of Study
The Master of Science in Computer Systems degree is a 33-hour program with a comprehensive project. Students complete 11 required classes. Eight of the 11 courses are from the computer science department with the other four courses from engineering.The comprehensive project is typically started the semester before graduation and is presented to a committee of 3 or more professionals around 6 weeks before graduation.
CS 6310 Systems Analysis and Design
CS 6320 Files and Database
CS 6330 Data Communications
CS 6340 Advanced Software Engineering
CS 6350 HW/SW/OS
Electives: 9 hours
CS6185/CS 6285/CS 6385 Internship
CS 6315 Artificial Intelligence
CS 6325 Computer Graphics
CS 6375 Special Topics in Computer Science (may be repeated up to 3 times)
Elective: 9 hours
EG 6306 Software Project Planning and Management
EG 6309 Human Factors/ErgonomiEG
EG 6327 Computer-Aided Manufacturing (CAM) and Robotics
EG 6338 Special Topics
EG 6356 Computer Networking
EG 6370 Parallel Processing
EG 6374 Computer Architecture
EG 6376 Neural Networks
EG 6378 Microprocessors
EG 6396 Computer Security
EG 7305 OOP, Analysis, and Design Methodology
EG 7306 Total Quality Systems
Admission and Prerequisites
Admissions is granted to those with high promise for success in graduate study. Applicants demonstrate this potential through previous academic records, testing, certification and work performance. To be considered for admission to this master's program, applicants should have acquired the following prerequisites:- Minimum grade point average (GPA) of 2.5 out of a possible 4.0 in a bachelor's degree
- Minimum Graduate Record Exam (GRE) total score of verbal + quantitative (v+q) of at least 667, or minimum GMAT score of at least 334
- Minimum index of GRE (v+q) times GPA of at least 2500, or minimum index of GMAT times GPA of at least 1250
Completed application form with:
- written statement of purpose indicating interest and objective
- two letters of recommendation
- official transcripts of all college-level work
For Admissions to the Master of Science in Computer Science program, applicants should have the following prerequisites:
- Undergraduate mathematics class, calculus preferred, with a C or better Programming classes including data structures with a C or better One other technology-related class
Faculty
Douglas Lee Hall, Ph.D.
Associate Professor and Chair of Computer ScienceOffice: Richter 226
Phone: (210) 436-3315
dhall@stmarytx.edu
Full Bio Details
B.A., University of Texas at Austin, 1969
M.Ed., Pan American, 1977
Ph.D., North Texas State, 1987
Douglas Hall, Ph.D., joined St. Mary's in 1986 and has served as the chair of the department from 1990 to 2003, and again from 2005 to the present. He has also served on numerous University committees. He has been honored as Distinguished Graduate Faculty at St. Mary's, Outstanding Computer Science Alumnus of University of North Texas, and cited in several "Who's Who" editions.
Prior to attending North Texas State, Hall spent more than 15 years in the educational field as an elementary bilingual teacher. His research interests include artificial intelligence, intelligent tutoring systems, intelligent computer-aided instruction (ICAI), expert systems, human factors engineering and knowledge-base systems.
Pamela Fink, Ph.D.
Assistant Professor of Computer ScienceOffice: Richter 222
Phone: (210) 431-8095
pfink@stmarytx.edu
Full Bio Details
B.S., Eckerd College, 1979
A.M., Duke University, 1982
Ph.D., Duke University, 1983
Pamela Fink, Ph.D., joined St. Mary's in 2002 after having been in industry for more than 17 years. From 1984-1994 at Southwest Research Institute, Fink started and managed a group in applied R&D in artificial intelligence. During that time she acquired and lead programs ranging from basic research in knowledge acquisition and representation to highly applied software development efforts in support of the U.S. Department of Defense and other large customers. Fink left the Institute to take a position in a small, start-up biotechnology company, Medical Science Systems (later renamed Interleukin Genetics), in which she built computer models of biological processes to support drug development and was an inventor/author on three patents. She and two colleagues founded Kenna Technologies, a start-up focused entirely on biological modeling to support drug development.
Her research interests include artificial intelligence, intelligent systems, knowledge acquisition and representation, intelligent tutoring systems, modeling and simulation, and applications of computers to improve healthcare and biological research.
Arthur Hanna, Ph.D.
Professor of Computer ScienceOffice: Richter 224
Phone: (210) 431-2021
ahanna@stmarytx.edu
Full Bio Details
B.S., St. Mary's University, 1975
B.A., St. Mary's University, 1975
M.S., University of Texas-Dallas, 1976
Ph.D., University of Texas-Austin, 1996
Arthur Hanna, Ph.D., has more than 30 years of experience as a consulting software engineer in systems, scientific and business applications. He has managed software development and hardware maintenance operations for several computer-based systems. He has a broad data-processing background encompassing a variety of computer systems, programming languages and application packages.
Hanna served as an officer in the U.S. Army for six years prior to returning to St. Mary's University as a full-time faculty member in August 1982. He also was honored as the Distinguished Faculty member of the School of Science, Engineering and Technology in 1994.
His research interests include computer science education, critical thinking and learning, programming and programming languages, algorithm design and analysis, software engineering, compilers and operating systems.
Carol Luckhardt Redfield, Ph.D.
Associate Professor and Graduate Program Director of Computer Science/Computer Information SystemsOffice: Richter 227
Phone: (210) 436-3298
credfield@stmarytx.edu
Full Bio Details
B.S., University of Michigan, 1980
M.S., in Mathematics, University of Michigan, 1982
M.S., in Computer, Information and Control Engineering, University of Michigan, 1982
Ph.D., University of Michigan, 1989
Carol Luckhardt Redfield joined St. Mary's in 1998 after having been in industry for more than 12 years. She worked in artificial intelligence as a Senior Research Engineer at Southwest Research Institute and a Senior Scientist at Mei Technology Corporation. She has taught mathematics and computer science since 1980 at various universities including the University of Michigan, UTSA and St. Phillips College.
She has volunteered to run the San Antonio Space Society a chapter of the National Space Society, brought Landmark Education courses to San Antonio, founded a charter school in San Antonio, and chaired conferences including the 10th International Space Development Conference in 1991, Intelligent Tutoring Systems in 1998, and Artificial Intelligence in Education in 2001. Redfield was inducted into the San Antonio Women's Hall of Fame for the 1992 Science category, given the Alice Wright Franzke Feminist Award in 2007, and received the Distinguished Faculty Award for 2008-2009 from the Graduate School.
Her research interests include artificial intelligence, expert systems / knowledge engineering, educational software and games/computer-based training/intelligent tutoring, eLearning, game development, and search engine optimization.



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