Computer Science: MS, MCS, PhD
This department offers graduate students an extensive education in many areas in computer science. Its faculty members are engaged in research and cutting-edge advancements in computer science, and they teach a high percentage of courses in the department, giving graduate students individual attention. Students who graduate with advanced degrees in computer science have high job placement, and as computers are so crucial to nearly every industry, continued growth in computer science careers is expected in the future. Additionally, the MS in computer science at USU is the only graduate degree in computer science offered via distance education and available through evening classes, allowing working professionals to obtain a master’s degree.
There are four areas of research focus for graduate students and faculty within the department:
- Artificial Intelligence: A complicated and broad field in computer science, AI deals with the development of systems (hardware and/or software) that in some way exhibit intelligent behavior. The four main categories of AI research are: systems that can think like humans; systems that can act like humans; systems that can think rationally; and systems that can act rationally.
- Bioinformatics: Bioinformatics utilizes computers and computer-based algorithms to aid in the analysis of biological information. Research in this area involves the development of machine learning algorithms to solve specific bioinformatics problems, including identification of protein functional sites, gene finding, and more.
- Distributed, Parallel, and Concurrent Computing: This area deals with the development of multiple processors and computers to achieve fast and efficient applications. Multiple processors are used in projects such as coordinating space shuttles and other major operations.
- Software Systems: This is a broad area of computer science that covers every aspect of software development, with the goal to create more sophisticated, reliable, and secure software.
The Master of Computer Science (MCS) is a terminal degree with coursework requirements similar to the PhD, but lacking the PhD’s requirement for original research.
- MS - Logan, Beaver, Bicknell, Blanding, Brigham City, Castle Dale, Cedar City, Cortez, Delta, Ephraim, Grantsville, Heber City, Ignacio, Junction, Kanab, Kaysville, Milford, Moab, Montezuma Creek, Monticello, Monument Valley, Nephi, Orem, Panguitch, Park City, Price, Richfield, Roosevelt (Uintah Basin), Salt Lake, St George, Tooele, Tremonton, Vernal (Uintah Basin), Wendover
- MCS - Logan
- PhD - Logan
Careers in computer science can be categorized into the following four areas:
Software development (software systems)
- Business applications
- Game development
- Web programming
- Scientific computing
Finding and creating new uses for computers (AI, parallel computing, or bioinformatics)
- Searching for cancer and other disease treatments
- Automating medical images such as mammograms
- Autonomous vehicles for use in agriculture and more
Solving computer problems (AI, parallel computing, or bioinformatics)
- Research in computer theory
- Creating more effective algorithms
Managing computer systems (software systems or parallel computing specializations)
- This can be done for a wide variety of industries and companies
Additionally, PhD graduates are qualified to pursue academia or research positions with government or private labs.
Students from any undergraduate background are welcome to apply; however, to be considered, applicants must have extensive experience in computing, programming experience in C++, and a course in data structures and algorithms, as well as a working grasp of calculus and statistics.
- Complete the online application
- Pay the $55 application fee
- Score at or above the 80th percentile on the quantitative section of the GRE
- Have a 3.0 or higher GPA on your last 60 semester or 90 quarter credits
- Provide transcripts of all college/university credits
- Provide three contacts for letters of recommendation
International students have additional admissions requirements.
The department has the following deadlines:
- Fall semester – February 1
Fall 2015 admissions only, We no longer offer Spring or Summer admissions. In order to be considered, you must have a completed application including all supporting materials:
- All students who want to be considered for Financial aid: March 1 2015
- International students without being considered for financial aid: May 1 2015
- Domestic students without being considered for financial aid: June 15 2015
Master's Degree Plan Option(s)
Students can receive the MS by pursuing one of three options:
- In the Plan A option, students complete graduate-level coursework and must write a thesis.
- The Plan B option requires the production of a paper or creative work of art and is expected to reflect equivalent scholarship standards as a thesis.
- A third option, Plan C, does not involve a thesis or a defense meeting and is comprised of coursework only.
The department offers a limited number of assistantships, both teaching and research, each year. These are competitive assistantships awarded to highly qualified students.
A variety of funding opportunities are available, including fellowships, scholarships, tuition awards, and travel support. Additionally, students may be eligible for subsidized health insurance through qualifying assistantships.
Vicki Allan, PhD, Colorado State University
Area: Multiagent systems, automated code generation, parallel algorithms, program optimization, analysis of algorithms, programming languages
Office: MAIN 429
Phone: (435) 797-2022
Steve Allan, PhD, Iowa State University
Area: Coarse grain parallelism, parallel programming languages, and parallel programming
Office: MAIN 420
Phone: (435) 797-2587
Renee Bryce, PhD, Arizona State University
Area: Software testing
Office: MAIN 414
Phone: (435) 797-0737
Daniel Bryce, PhD, Arizona State University
Area: Artificial intelligence, systems biology
Office: MAIN 401 A
Phone: (435) 797-8841
Scott Cannon, PhD, University of Utah
Area: Parallel processing, real-time systems, space flight software systems applications
Office: MAIN 418
Phone: (435) 797-2015
Heng-Da Cheng, PhD, Purdue University
Area: Image processing, pattern recognition, computer vision, artificial intelligence, medical information processing, fuzzy logic, genetic algorithms, neural networks, parallel processing, parallel algorithms, VLSI architectures
Office: MAIN 401 B
Phone: (435) 797-2054
Stephen Clyde, PhD, Brigham Young University
Area: Software-engineering principles, models, and methods; object orientation; distributed systems; development tools; multimedia applications
Office: MAIN 401 D
Phone: (435) 797-2307
Donald Cooley, PhD, University of Utah
Professor, Department Head
Area: Neural networks, especially applications, evolutionary algorithms, bioinformatics, cell matrix applications
Office: MAIN 414
Phone: (435) 797-2431
Curtis Dyreson, PhD, University of Arizona
Area: Temporal databases, native XML databases, data cubes, and providing support for proscriptive metadata
Office: MAIN 402 A
Phone: (435) 797-0742
Nick Flann, PhD, Oregon State University
Associate Professor, Graduate Coordinator
Area: Computational modeling of integrated multi-cellular systems
Office: MAIN 402 D
Phone: (435) 797-2432
Minghui Jiang, PhD, Montana State University
Area: Algorithms, discrete and computational geometry, bioinformatics and computational biology
Office: MAIN 402 G
Phone: (435) 797-0347
Vladimir Kulyukin, PhD, University of Chicago
Area: Assistive technology, mobile and ubiquitous computing, human-robot interaction, information retrieval
Office: MAIN 401 E
Phone: (435) 797-8163
Xiaojun Qi, PhD, Louisiana State University
Area: Content-based image/video retrieval, digital watermarking, digital steganography/steganalysis, image processing, pattern recognition, computer vision, image forensics
Office: MAIN 401 C
Phone: (435) 797-8155
Dan Watson, PhD, Purdue University
Area: Parallel and distributed algorithms
Office: MAIN 402 B
Phone: (435) 797-2440
Professional Organizations, Honor Societies, and Clubs
Association for Computing Machinery: ACM, the world’s largest educational and scientific computing society, delivers resources that advance computing as a science and a profession. ACM provides the computing field's premier digital library and serves its members and the computing profession with leading-edge publications, conferences, and career resources.
Association for Computing Machinery for Women: ACMW at Utah State University is a group of women in the department who are interested in encouraging women to enter this area of study and to join the ranks of women in the computer science field. In present years, the number of women in the field has declined. Through the establishment of a support system which includes activities and projects that aim to improve the working and learning environments for women in computing, ACMW strives to end this decline.
Free Software and Linux Club: The FSLC is a community of users that enjoy learning, teaching, and promoting Linux and other free software. FSLC holds weekly meetings, monthly workshops, and a yearly forum, all with useful tutorials and introductions to a wide variety of free software topics.
Labs, Centers, Research
AggieAir Flying Circus: AggieAir Flying Circus provides high-resolution, multispectral aerial imagery using a small, unmanned aerial system. The system is able to map small areas quicker, more frequently, at greater resolution, and at a smaller cost than conventional remote sensing. Some applications for AggieAir include monitoring of soil moisture and evapotranspiration in agriculture, riparian habitat mapping, road and highway surface monitoring, wetland mapping, and fish and wildlife tracking.
Center for Active Sensing and Imaging: CASI uses radar-like, laser-based LIDAR technology to measure distances instead of radio waves for a variety of industrial applications, including sitting wind farms, controlling emissions, and rapid replacement of bridges, runways, and other infrastructure.
Center for Atmospheric and Space Sciences: CASS is recognized nationally and internationally as a progressive research center with advanced space and upper atmospheric research programs. CASS scientists are tackling the adverse consequences of space weather. Undergraduate and graduate students are involved in numerous research projects in CASS that provide opportunities to program computers, analyze data, and build instrumentation.
Center for High Performance Computing: HPC at USU is a research service center that serves and expands the computational needs of the USU community. HPC at USU houses a 256-processor cluster called “Uinta,” with three networks.
Center for Self-Organizing and Intelligent Systems: CSOIS is a multi-disciplinary research group at USU that focuses on the design, development, and implementation of intelligent, autonomous mechatronic systems, with a focus on ground vehicles and robotics.
Center for Space Engineering: CSE is a multi-disciplinary group of faculty at USU involved in space technology, systems, and science. The center brings together academics, industry, and government to advance the understanding of the space environment and to train the next generation.
Environmental Management Research Group: EMRG is a research unit of the Utah Water Research Laboratory focused on integrated watershed management and systems analysis of environmental problems. EMRG provides software development, watershed and water quality modeling, and GIS data analysis service to internal and external entities directed at solving integrated watershed and environmental management-related problems of a variety of scales.
Rocky Mountain NASA Space Grant Consortium: RMNSGC is one of 52 National Space Grant Consortia in the United States. As a member of the consortium, USU has awarded more than 100 fellowships to students interested in aerospace-related education and careers. The majority of Space Grant student awards include a mentored research experience with university faculty and NASA scientists, engineers, and technologists.
Space Dynamics Laboratory: SDL is known for sending 500+ successful experiments into space and brings in $54 million per year in revenue, the majority coming from grants, contracts, and appropriations. SDL’s expertise in the development of sensors and calibration, small satellites and real-time intelligence has made it an internationally known organization in the space arena.