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Mar 02, 2025
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2006-2007 Graduate Studies Bulletin [ARCHIVED BULLETIN]
Computer Science, M.S.
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 Return to: Graduate Programs Offered
This program is differentiated from the M.A. in
Computer Science by the provision for a balance between the three major
areas of computer science, namely theory, software and hardware. In
addition to the fundamental courses in algorithms, programming
languages, and operating systems, this program requires students to
select one additional course from each of two breadth areas. Four
elective courses allow a student to narrow their specialization into a
specific area or subfield in computing. The program thus ensures that
students take courses that provide both breadth and depth in computer
science. The two-semester thesis capstone experience challenges
students to expand the frontiers of the discipline. It also provides a
path toward a terminal degree (Ph.D. or D.Sc.) in computer science.
Students have completed capstone experiences in areas such as
distributive algorithms, data mining, distributed computing, computer
vision, medical imaging, neural networks, network emulation, network
security, archeological artifact assembly, and character recognition.
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Admission Requirements
- Completion of a bachelor’s degree from an accredited institution.
- An undergraduate minimum grade point average of 3.0 on a 4.0 scale.
- Achievement in General (verbal, quantitative and analytical writing) GRE scores.
Prerequisite Requirements
Students may satisfy any or all of the prerequisites listed below by having completed, or enrolling in, these courses or their equivalents at an accredited institution. With the permission of the Graduate Program Director, eligible students may elect to sit for proficiency examinations. Applicants without undergraduate computer science degrees may be admitted as provisionally matriculated students if they meet all admission criteria except for the required prerequisites. They can enroll in graduate courses if they meet individual course prerequisites and satisfy the general requirements before completing 12 semester hours of graduate study. This condition is automatically lifted as soon as the prerequisites or their equivalents are satisfactorily completed. - Discrete Mathematics
- Computer Science I
- Computer Science II
- Algorithms and Data Structures
- Computer Organization/Computer Architecture
- Operating Systems
- Theory of Computing (Formal Languages and Automata Theory)
- Calculus II (Integral Calculus and Analytical Geometry)
Program Requirements
The M.S. in Computer Science program has two options: Option 1 requires the satisfactory completion of a 33 semester hour program including a 6 semester hour thesis (courses CSC 301 and CSC 302); Option 2 requires the satisfactory completion of 36 semester hours including a 3-semester hour project (courses CSC 300 or CSC 301). One graduate course is 3 semester hours. Program Requirements Option 1 - Total Semester Hours: 33
The M.S. in Computer Science Option 1 requires the satisfactory completion of a 33 semester hour program including three fundamental required courses, two elective-breadth required courses, two thesis courses, and four electives. Full-time students can complete the program in four semesters. Part-time students usually complete the program in six or seven semesters. Courses taken in other departments as electives require written departmental approval. At least 27 semester hours must be in graduate computer science courses. Up to 6 semester hours of graduate courses in areas outside of computer science may be taken with the written approval of the Graduate Program Director. At least 27 semester hours must be completed in residence at Hofstra. A minimum 3.0 average with a grade of C or better in all courses is required.
Required Fundamental Courses - Total Semester Hours: 9 Required Breadth Courses - Total Semester Hours: 6
Choose one course from the Theory and one course from the Hardware sections listed below. Elective Courses – Total Semester Hours: 12
Choose any graduate-level course in computer science, or from other graduate programs with a written approval of the Graduate Program Director. Required Thesis Courses - Total Semester Hours: 6
Program Requirements Option 2 - Total Semester Hours: 36
The M.S. in Computer Science Option 2 requires the satisfactory completion of a 36 semester hour program including three fundamental required courses, two elective-breadth required courses, one capstone course (CSC 300 or CSC 301), and six electives. Full-time students can complete the program in four semesters. Part-time students usually complete the program in six or seven semesters. Courses taken in other departments as electives require written departmental approval. At least 27 semester hours must be in graduate computer science courses. Up to 6 semester hours of graduate courses in areas outside of computer science may be taken with the written approval of the Graduate Program Director. At least 27 semester hours must be completed in residence at Hofstra. A minimum 3.0 average with a grade of C or better in all courses is required. Required Fundamental Courses - Total Semester Hours: 9
Required Breadth Courses - Total Semester Hours: 6
Chose one course from the Theory and one course from the Hardware sections listed below. Elective Courses – Total Semester Hours: 18
Choose any graduate-level course in computer science, or from other graduate programs with a written approval of the Graduate Program Director. Required Capstone Project - Total Semester Hours: 3
Complete one Graduation Requirements
- Completion of all program requirements.
- A minimum grade point average of 3.0 in overall graduate course work.
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