Offered On Campus Only

Overview
The Master of Science in Computer and Information Science provides a general computer science education emphasising both theoretical and applied aspects. Graduates have been very successful both in the workforce and further Ph.D. level study.

The Computer and Information Sciences department is one of the largest within SUNYIT. The twelve full-time faculty have diverse areas of expertise and support three graduate and four undergraduate programs while pursuing research and scholarly activities in their respective areas of interest. Many faculty and students maintain a close working relationship with researchers at the Rome Research Site of the Air Force Research Laboratory located about ten miles west of the campus.

The program regularly offers a variety of courses in programing language and software engineering, systems and architectures, algorithms and theory, and artificial intelligence and modeling. Courses are complemented by a number of state-of-the-art laboratories that employ a variety of computing environments. The program is also supported by extensive library holdings. Hundreds of journal titles maintained by the Cayan Library directly support the graduate program in computer science.

The Master’s program in Computer and Information Science is designed for students seeking a quality education in preparation for employment, career advancement, or further graduate study. It is designed to provide a broad overview of the major areas of the discipline, coupled with a specialization in at least one of the following areas: software engineering, systems & architectures, algorithms & theory, and artificial intelligence & modeling. Course offerings stress the principles and problem-solving methodology required by computing professionals working in industry, business and education.

The MS program accommodates both full-time and part-time students. Full-time students can complete the program within an 18 month period. Part-time completion will vary based on total number of credits taken each term. A program of study will be developed with the program coordinator which responds to student needs and the department’s plan for course scheduling.

Career Paths
The MS in Computer Sciences allows students to advance their careers and increase their depth of understanding in this dynamic and growing field. Our graduates go on to rewarding careers in the field with job titles such as Computer Scientist, Software Engineer, Senior Programmer, Systems Administrator, Research Engineer, Systems Engineer, and Technical Consultant. Some of the local companies that our graduates join include Assured Information Security, BAE Systems, Booz Allen Hamilton, CACI, ITT Industries, and Northrop Grumman Corporation.

Lab Facilities
The Computer Science Department maintains its own academic computing network tailored to support our programs and provide an open environment for student experimentation and exploration. Departmental servers support the Computer Science Department and student web sites (www.cs.sunyit.edu), central file storage, remote access, databases, software repositories, streaming video, and student project virtual machines. Our computing environment is managed by professional staff and student administrators. Students interested in the fields of network or systems administration who desire an opportunity to further develop their skills prior to graduation should stop by our workroom.

Kunsela 24 Hour Open Lab (Kunsela B118) – provides access to resources found in other Computer Science labs 24 hours a day, 7 days a week while classes are in session. Current hardware includes ten MS Windows workstations, two Gentoo Linux workstations, and a multimedia station with flatbed scanner and blu-ray writer.

Degree Requirements

 Pre-Requisite Courses and Background

• Computer Organization
• Object Oriented Programming
• Data Structures
• Discrete Math
• Calculus
• Probability

The need for completion of pre-requisite coursework is determined in consultation with the Graduate Center and the program coordinator.

Program Requirements
The M.S. in Computer and Information Science consists of 33 credit hours. Three must include:
Area Courses: (12 credit hours)
Depth Courses: (9-12 credit hours)
Other Coursework: (6 credit hours)
Thesis/Project: (3-6 credit hours)

Area Courses (12 credit hours)
Complete one course in each of the following four areas:

Software Engineering

• CS 510 Programming Languages
• CS 511 Formal Methods
• CS 512 Software Engineering
• CS 518 Special Topics in Software Engineering

Systems & Architectures

• CS 520 Computer Architecture
• CS 521 Operating Systems
• CS 522 Computer Networks
• CS 523 Parallel Computing
• CS 524 Distributed Systems
• CS 528 Selected Topics in Systems

Algorithms & Theory

• CS 530 Algorithms & Complexity
• CS 531 Automata, Computability and Formal Languages
• CS 532 Cryptography and Data Security
• CS 538 Special Topics in Algorithms

Artificial Intelligence & Modeling

• CS 540 Artificial Intelligence
• CS 541 Databases
• CS 542 Machine Learning
• CS 543 Systems Theory
• CS 548 Special Topics in AI and Modeling

Depth Courses (9-12 credit hours)
Complete two additional courses from one of the four areas above and one additional course from a different area. A fourth course from any area is required if a project is elected instead of a thesis.

Note: Computer Science graduate courses not assigned to one of the areas above (e.g., bridge courses, CSC 507, CS 598, CS 599, CS 600) cannot be applied to the depth requirement.

Other Coursework (6 credit hours)
Complete two other courses selected from any of the department offerings or from any of the graduate offerings at SUNYIT (excluding bridge courses) approved by the department.

Thesis/Project (3-6 credit hours)
CS 598 Project (1-3 credits) OR
CS 599 Thesis (6 credits)

Guidelines and requirements for the project or thesis are provided to students by their faculty adviser.

Special Program Notes

• Unless otherwise noted, all graduate courses are 3 credit hours.
• All students must have a GPA of 3.0 or higher to graduate.
• Over the course of their studies, students can only apply two “C” grades in courses taken toward the degree.
• Students may transfer up to six credit hours, if applicable, from another graduate program.
• Students may repeat at most two courses in which a “C” grade or less was received.
• Students must maintain continuous registration, equal to or greater than one credit while working on their final thesis or project. MS Computer Science students can do this by registering for either CS 598 or CS 599, as appropriate, with their advisor for one credit. Students may do this for up to six semesters at which time it is expected that all program requirements will have been met.

Faculty

Bruno Andriamanalimanana, Associate Professor
Ph.D. Lehigh University
Combinatorics, coding theory, cryptography.

Roger Cavallo, Professor
Ph.D. State University of New York at Binghamton
Ernest W. Goodell Research and Creativity Award, 1990
Systems theory, conceptual modeling, probabilistic database theory.

Larry Hash, Emeritus Associate Professor
Ph.D. North Carolina State University
Wireless communications, data networking.

John A. Marsh, Associate Professor
Ph.D. Carnegie Mellon University.
Computer networks, wireless network security, complexity theory, integrated optics.

Rosemary Mullick, Professor
Ph.D. Wayne State University
Operating systems, computer networks, artificial intelligence, instructional computing.

Jorge Novillo, Professor
Ph.D. Lehigh University
Combinatorics, data security, bio-computing, artificial intelligence.

Michael Pittarelli, Professor
Ph.D. State University of New York at Binghamton
Ernest W. Goodell Research and Creativity Award, 1992
Systems science, artificial intelligence, combinatorial search, database theory.

Ronald Sarner, Distinguished Service Professor
Chancellor’s Award for Excellence in Teaching, 1992
Ph.D. State University of New York at Binghamton
Data modeling, data mining, instructional computing.

Saumendra Sengupta, Professor
Ph.D. University of Waterloo
Systems modeling, computer networks, system forensics, distributed systems, operating systems.

Scott Spetka, Professor
Ph.D. UCLA
Distributed databases, operating systems, system administration.