East Stroudsburg University

Master Of Science in Computer Science

The Graduate Faculty in Computer Science offers the degree Master of Science in Computer Science. Applicants should have a B. S. in Computer Science or equivalent computer science skills and mathematical maturity. Students may elect to follow either a thesis track or a nonthesis track in obtaining their degree. A complete list of courses is available in the Computer Science Graduate Course Catalog.
Effective date: July 1994

Tracks of Study

Thesis Track

Area
Courses
Credits
Programming Languages 2 6
Operating Systems/Architecture 2 6
Theory 1 3
Data/File Structures 1 3
Topics/Electives 1 3
Culminating Activities 3 9

Total: 30 credits

Nonthesis Track

Area
Courses
Credits
Programming Languages 2 6
Operating Systems/Architecture 2 6
Theory 1 3
Data/File Structures 1 3
Topics/Electives 3 9
Culminating Activities 2 6

Total: 33 credits

Areas of Study

Programming Languages

Both tracks require CPSC 530 and one other course.
 
Number
Title
CPSC 530 Software Engineering
CPSC 531 Advanced Topics in Software Engineering
CPSC 532 Natural Language Processing
CPSC 533 Compiler Construction
CPSC 534 Compiler Construction II
CPSC 535 Parallel Computing

Operating Systems/Architecture

Both tracks require CPSC 541 and one other course.
 
Number
Title
CPSC 541 Computer Architecture
CPSC 542 Operating System Design
CPSC 544 Realtime Systems
CPSC 545 Networks and Data Communication

Theory

Both tracks require one course.
 
Number
Title
CPSC 562 Theory of Computation
CPSC 563 Theory of Abstract Languages

Data/File Structures

Both tracks require one course.
 
Number
Title
CPSC 550 Algorithmic Graph Theory
CPSC 553 Data Base Systems
CPSC 554 Data Structures and Algorithmic Analysis

Topics/Electives

The thesis track requires one additional course and the nonthesis track requires three additional courses. These additional courses may be any course numbered 520 or higher that are not being counted toward another area.  In addition to the above courses, these include:
 
Number
Title
CPSC 521 Computer Graphics
CPSC 523 Discrete Optimization Algorithms
CPSC 524 Image Processing
CPSC 525 Expert Systems
CPSC 527 Robotics
CPSC 528 Artificial Intelligence and Heuristic Programming
CPSC 529 Machine Learning
CPSC 548 Applied Network Security
MATH 570 Numerical Methods I
MATH 571 Numerical Methods II

Culminating Activities

The thesis track requires all of the following courses and the nonthesis track requires only CPSC 570 and CPSC 574.
 
Number
Title
CPSC 570 Introduction to Research
CPSC 574 Research Project I
CPSC 575 Research Project II

Basic Competency

Applicants should have a B. S. in Computer Science or equivalent computer science skills and mathematical maturity, as represented by the material in the following ESU courses:
 
Number
Title
CPSC 111 Intro Computer Programming & Problem Solving
CPSC 141 Intro Computer Organization
CPSC 151 Linear Data Structures and Algorithm Analysis
CPSC 232 Intro Assembly Programming & Architecture
CPSC 240 Operating Systems & Computer Architecture
CPSC 251 Non-Linear Data Structures
CPSC 321 Issues in the Practice of Computer Science
CPSC 330 Programming Languages
MATH 140 Calculus and Analytic Geometry I
MATH 141 Calculus and Analytic Geometry II
MATH 220 Discrete Mathematical Structures
MATH 311 Statistics
MATH 320 Linear Algebra

Note: A student may be admitted conditionally; subject to successful completion of deficiencies in the above list. It should also be noted that considerable hands-on experience with computers and experience in designing programs with an emphasis on problem-solving is expected. For more information about this degree program, please contact Prof. Richard D. Amori ("ramori@esu.edu).

Last update: 2005-08-01
This page is maintained by Ernie Miller, Computer Science Department, East Stroudsburg University