Computer Science, MS

Parent Entity: 
Engineering and Computer Science, College of ยป Computer Science and Computer Engineering
Program Type: 
Master
Degree Type: 
Master of Science

Program Description:

The Department of Computer Science and Engineering offers a program of graduate study leading to the Master of Science in Computer Science degree. The program balances theory, software, hardware, and practice with degree requirements concentrated in the areas of computer design and analysis. Most courses are offered in the late afternoon to allow practicing computer professionals to enroll in the program on a part-time basis.

A student may be admitted to the Master of Science in Computer Science program with the equivalent of an ABET accredited bachelor's degree in computer engineering and satisfaction of the admission requirements as set forth by the Graduate School.

Specific prerequisites for admission to the Master of Science degree program in Science are shown below. Students may be admitted conditionally while making up minor deficiencies.

Students must have a bachelor's degree in Computer Science from an accredited institution, with an overall minimum grade point average of 3.0 for regular graduate status. Students may be admitted conditionally if they have an undergraduate grade point average of 2.7 or above and at least a 3.0 grade point average in all courses in items below.

Courses covering computer programming, data structures, theory of computation, digital circuits, computer organization, and operating systems. The material covered in these courses should be equivalent to, respectively, CS 5100, CEG 6350, and CEG 5200 at Wright State University.

Mathematics and science prerequisites: one year sequences in calculus and calculus-based physics, as well as knowledge of linear or matrix algebra, ordinary differential equations, probability, and statistics.

NOTE: The GRE will be waived for students applying for the Master's program in the following cases: a) a person with a Wright State University BS or BA degree from the College of Engineering and Computer Science whose undergraduate GPA is above 3.3, b) a person with a graduate degree in Engineering, Science, or Mathematics from an American institution. The GRE is highly recommended for anyone who is or will be applying for graduate assistantships.

Admissions Requirements:

A student may be admitted to the Master of Science in Computer Science program with a bachelor's degree in computer science, or related areas and appropriate experience, and satisfaction of the admission requirements as set forth by the Graduate School.

Specific prerequisites for admission are shown below. Students may be admitted conditionally while making up minor deficiencies.

  1. An accredited bachelor's degree with an overall minimum grade point average of 3.0 for regular graduate status. Students may be admitted conditionally if they have an undergraduate grade point average of 2.7 or above and at least a 3.0 grade point average in all courses in items 2 and 3 below.
  2. Computer Science prerequisites: Data structures, operating systems, and computer organization. The materials covered in these classes are equivalent to CS 400, CS 433, and CEG 320.
  3. Mathematics and Science Prerequisites: Introduction to calculus, one year of science, linear or matrix algebra, discrete mathematics, probability and statistics.
  4. The Graduate Record Examination (GRE-the general test): a minimum combined score of 298 on the verbal and quantitative exams is expected.

The GRE will be waived in the following cases: a) a person with a Wright State University BS or BA degree from the College of Computer Science and Engineering and Computer Science whose undergraduate GPA is above 3.3 and who is applying for a M.S. program and b) a person with a graduate degree in Engineering, Science, or Mathematics from an American institution who is applying for a M.S. program. The GRE is highly recommended for anyone who is or will be applying for graduate assistantships.

Program Learning Outcomes:

  • The ability to integrate and apply graduate computer science knowledge to solve complex
  • computer science problems.
  • The ability to understand and integrate new knowledge within the field of computer science into their daily professional activities.
  • The ability to recognize the need for, and engage in, life-long learning.

Facilities:

A wide range of computing systems interconnected via the campus-wide network support all the degree programs in the department. A variety of high-end and special-purpose systems are available for research through the Ohio Supercomputer Center. University and college systems include a variety of servers and workstations running current operating systems including Linux, Mac OS, and Windows. Department facilities provide specialized systems and support equipment tailored to specific curriculum and research areas. These include a Linux-based Operating Systems and Internet Security lab, an Immersive Visualization and Animation Theater lab, and a variety of workstations and personal computers providing software tools for project design and development. The program also has access to one of the most advanced visualization and presentation environments in the nation, the Appenzeller Visualization Laboratory, located in the Joshi Research Center. The Department has laboratories dedicated research in assistive technologies, RFID, vision interfaces and systems, medical image analysis, parallel and distributed computing, evolvable hardware, database systems, data mining, mobile information and communications, software engineering, artificial intelligence, adaptive vision, advanced computer networking, semantic web services oriented computing, scientific workflows, business process management, bioinformatics, and cyber security.

Research/Areas of Expertise:

A steadily increasing number of funded research projects support modern graduate research in such areas as medical image analysis, multimedia systems and applications, biometrics, assistive technologies, soft computing and evolvable hardware, intelligent agents and robotics, data mining and databases, bioinformatics, machine vision, visualization, networking and mobile computing, wireless and internet security, RFID applications, the semantic web, cyber security, and services science.

Recent and current sources of research support include federal agencies, defense agencies, and local industries. Research at Wright State University is not limited to on-campus laboratory facilities. Several industrial laboratories, Wright-Patterson Air Force Base laboratories, and the Major Shared Resource Center at Wright-Patterson Air Force Base are involved in joint research efforts with the university. In addition, the new Joshi Research Center and daytaOhio are focal points for new technologies that advance data management solutions and data management innovation.

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