Master of Science (M.S.) in Computer & Information Systems Engineering

Requirements

PROGRAM OBJECTIVES

To provide students background and experiences in Systems Engineering (life cycle) approach in defining system requirements, systems analysis, preliminary and detailed design, testing and operation and retirement as applicable to computer communication networks and information systems.  Also  to provide experiences in developing Systems Engineering Management Plan and life cycle analysis.

DEGREE REQUIREMENTS

     The Master of Science (M.S.) degree program in Computer and Information Systems Engineering (CISE) is a unique program designed to meet the needs of Information Age Society by preparing its graduates with a background in computer hardware, computer software and systems approach to design and development of integrated systems. The Master of Science degree requires: (1) admission of all degree seeking students to candidacy for the degree after completion of all prerequisites identified at the time of initial admission and the completion of nine (9) graduate credit hours in residence at the University, (2) a minimum of thirty (30) graduate semester hours of course work, including at least eighteen (18) credit hours of required core courses, six (6) credit hours of thesis, and six (6) credit hours of electives to be chosen from a list of courses with the consent of the advisor and with the approval of the department head. Substitution within the core courses may be permitted with the consent of the advisor and approval of the department head.

ADMISSION REQUIREMENTS

The program provides opportunities for students from electrical or other engineering fields, computer science, and business majors to pursue this degree through different levels of admission status.

 

For admission to the M.S. in CISE program, the student must have B. S. degree in Electrical Engineering, or other engineering disciplines or computer science from an accredited program.

 

Unconditional admission: the student must also have the necessary prerequisite courses and a cumulative grade point average (GPA) of 3.00 or above out of 4.00

 

Conditional Admission: If an evaluation of the above student’s transcripts show prerequisite deficiencies, or a cumulative GPA between 2.75 to 3.0, the student will be eligible for conditional admission. Students with a B. S. degree in Business or other related science areas with a cumulative GPA of 3.00 or above will be eligible for conditional admission. Also, students with a B.S. degree in engineering, a cumulative GPA between 2.50 to 2.75 and a passing score of 70 in Fundamentals of Engineering or EIT will be eligible for conditional admission also. Students with exceptional experience in this field may be considered.

 

All students applying for admission must submit to the Dean of Graduate School one completed Graduate Application form and two copies of transcripts from all colleges and universities previously attended.

 

Admission to Candidacy: The university policy for admission to candidacy will be followed. However, students admitted conditionally must remove all deficiencies with a cumulative GPA of 3.25 in undergraduate prerequisite courses and accumulate no more than 9 graduate credits before achieving unconditional status.

 PROGRAM OF STUDY

Courses Required - (24 Cr. Hrs.)

  Course

  Course Name

 Credit Hours

  CISE 5010

  Data Structures and Algorithms

         3

  CISE 5020

  Computer Architecture & Operating System

         3

  CISE 5030

  Software Systems Design

         3

  CISE 5040

  Systems Engineering

         3

  CISE 5220

  Computer Aided System Design

         3

  CISE 5230

  Computer Communication and Networks

         3

  CISE 5905

  Master of Science Thesis I

         3

  CISE 5906

  Master of Science Thesis II

         3

 

Electives

Two Electives (6 credit hours) may be chosen with the consent of the advisor                          
 

  Course

  Course Name

 Credit Hours

  CISE 5060

  Error Control Codes

         3

  CISE 5110

  Intro. to Artificial Intelligence

         3

  CISE 5240

  Management of Information Systems

         3

  CISE 5300

  Fundamentals of Robotics

         3

  CISE 5400

  Special Topics in CISE

         3

  CISE 6100

  Optimization in Operations Research

         3

  CISE 6360

  Distributed Computing Theory & Design

         3

 

PROGRAM OF STUDY

The program consists of  24 credit hours of course work and six credit hours of thesis. The course work consists of eighteen (18) credit hours of core courses and six (6) credit hours of guided electives.

 

                                          PROGRAM OFFERING SCHEDULE

Fall Semester

  Course

  Course Name

 Credit Hours

  CISE   5010 

  Data Structures and Algorithms    

        3

  CISE   5020  

  Computer Architecture and Operating System 

        3

  CISE   5040   

  Systems Engineering     

        3

 

Spring Semester

  Course

  Course Name

 Credit Hours

  CISE   5030

  Software Systems Design      

        3

  CISE   5230

  Computer Communication and Networks

        3

  CISE    5905

  Master of Science Thesis I        

        3

 

 Fall Semester  

  Course

  Course Name

 Credit Hours

  CISE    5220   

  Computer Aided System Design             

        3

  CISE   5905 +

  Master of Science Thesis I (continuation)

        3

 

  Elective        

        3

 

Spring Semester

  Course

  Course Name

 Credit Hours

  CISE    5905 +

  Master of Science Thesis I  (continuation)    

        3

  CISE   5906

  Master of Science Thesis II           

        3

 

  Elective        

        3


FACILITIES

      The departmental offices and laboratories are housed on the second floor of the A. P. Torrence Hall and occupy 8,350 square feet area. These include eight (8) faculty offices, nine instructional and research laboratories, such as Intelligent Signal Processing Laboratory, Renewable Energy Laboratory, and the Center for Neural Engineering.   The department has over one million dollars worth of new state-of-the-art laboratory and computer equipment . These facilities are available for use by the students and faculty.

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