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The graduate program in computer science prepares students for the direct pursuit of productive careers in industry and for continued graduate study. The program’s orientation is toward educating professionals to become leaders in various areas of computer science ranging from software engineering to computer design, and from systems analysis to the management of information systems. The program is offered by Gildart Haase School of Computer Sciences and Engineering at the Florham Campus in collaboration with the Department of Mathematics and Computer Science of Becton College.

Gildart Haase School of Computer Science and Engineering is the overall initiator of the MSCS programs at FDU and supports the programs on both campuses. Both programs require students to complete the same 15-credit elective coursework. GHSCSE offers a broader spectrum of Elective courses at the Metro campus, enabling students more options for specialization.

Admission requirements

  • Graduation from an accredited college or university with a satisfactory academic record.
  • Submission of an official score report for the Graduate Record Examination (GRE) General Test taken within the last five years. The GRE may be waived if the applicant enrolls initially as a non-matriculating student and completes 9 graduate credits in computer science with a minimum Grade Point Ratio (GPR) of 3.00 and no grade below C, or is a Fairleigh Dickinson University computer science graduate and has an undergraduate GPR of 3.00 or is a non-Fairleigh Dickinson University computer science graduate and has an undergraduate GPR of 3.50. This GRE waiver policy is only applicable to applicants who graduated from a regionally accredited college or university in the United States.
  • The GRE requirement is waived for applicants who have completed a master’s degree from a regionally accredited college or university in the United States.
  • Three letters of recommendation.

Applicants who have not completed all requirements for admission to the degree program may be permitted to enroll in classes for credit on a non-matriculated or non-degree basis.

Degree Plan

Prerequisites: (NOT INCLUDED IN GRADUATION CREDITS)

Required courses (15 credits)

Electives (15 credits)

  • CSCI elective courses range from CSCI 6617 through 8891.
  • Up to six credits may be taken in non-CSCI prefixed courses in electrical engineering (6000 level or above). Please consult an academic advisor for additional details regarding electives or consult FDU Graduate Bulletin.
  • Students have the option of registering for a 3-credit internship after completing 18 graduate credits. The internship will count as a one-course elective.

Course Descriptions

  • CSCI5505 Use of computers in problem solving. Algorithm development using stepwise refinement. Structured programming techniques. Top-down design and modularity. Readability and documentation techniques. Programming in a high-level language, such as Java. Fall, Spring

  • CSCI5525 Introduction to computer hardware and software, interactions and tradeoffs. Essentials of computer organization and arithmetic, data manipulation, operating system, computer networks, and computer theory. Foundation for more advanced courses.

  • CSCI5555 Organized collections of data and their use. Arrays, records, linear lists, trees, graphs. Sorting and searching. Sequential and linked memory allocation. Fall, Spring

  • CSCI5565 Assembly language programming and discussion of assembly systems. Numerical and symbolic applications. Fall

  • CSCI6603 Study of the relation between the structure and functional behavior of computer systems. Data representation and instruction sets. Control function, memory hierarchy, input-output processors and devices. Micro- and multiprocessors. Fall, Spring

  • CSCI6617 Introduction to Computer Game Development. Topics include fundamentals of Microsoft DirectX game and graphics libraries, 2D graphics and animation, audio output, keyboard/mouse handling, and fundamentals of 3D modeling, and programming.

  • CSCI6620 Creation of reliable software. Top-down design, structured programming techniques, verification and debugging of programs. Defining module interfaces. Estimating program timing and storage requirements. Program documentation. Programming style and aesthetics. A project-oriented course.Fall, Spring

  • CSCI6623 A survey of the current technology available in database systems. Relational, hierarchical and network models. Role of the data administrator. Levels of abstraction. Schema and subschema. Fall, Spring

  • CSCI6638 An introduction to the fundamental principles of operating systems in terms of resource management and machine virtualization. Topics include system services, process management, synchronization, threads, CPU scheduling, memory, device, and file management, and security. Integrated lab.

  • CSCI7645 Introduction to operating systems software. Topics chosen from process management interprocess communication, interrupt handling and file systems. Students will develop software that will implement and use operating systems primitives.