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Dec 05, 2025
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2024-2025 Graduate Catalog [ARCHIVED CATALOG]
Computer Science and Engineering MS
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The Computer Science and Engineering MS program offers students a comprehensive grasp of cutting-edge industry subjects while equipping them to engage in fundamental and applied research in computer science. The program encompasses various tracks, including artificial intelligence and machine learning, systems, and a research track that enables students to pursue personalized projects or engage in supervised research.
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Track Options
The MS program has three tracks to select from: - Research
- Artificial Intelligence / Machine Learning
- Software/Hardware Systems
Research Track: Required Core (13 credits)
Theory and Algorithms (3 credits)
Select 1 from: Artificial Intelligence (3 credits)
Select 1 from: Software and Information Systems (3 credits)
Select 1 from: Hardware and Networked Systems (3 credits)
Select 1 from: Depth Requirement (9 credits)
Select 2 courses, not previously completed, from one area and 1 additional course from a different area: Software and Information Systems:
Hardware and Networked Systems:
Additional Requirements (1-3 credits)
Select: - One CSE 7XX level seminar Credits: 1-3
- Excluding CSE 700 and CSE 799 .
Research Track Electives (0-2 credits)
Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours. - All graduate level Computer Science (CSE) courses.
- All graduate level School of Engineering and Applied Sciences (SEAS) courses.
- Management (MGT) courses with permission from Director of Graduate Studies (DGS).
Culminating Experience: Project or Thesis (1-5 credits)
Total Credits: 30
3.0 Degree GPA required AI / ML Track Required Core (15 credits)
Theory and Algorithms (3 credits)
Artificial Intelligence (3 credits)
Software and Information Systems (6 credits)
Hardware and Networked Systems (3 credits)
Depth Requirement & Project Capstone (9 credits)
Capstone project to be complete in CSE 573 . AI / ML Track Electives (6 credits)
Select from: Total Credit Hours: 30
3.0 Degree GPA required Systems Track Required Core (15 credits)
Theory and Algorithms (3 credits)
Artificial Intelligence (3 credits)
Software and Information Systems (6 credits)
Hardware and Networked Systems (3 credits)
Depth Requirement & Project Capstone (9 credits)
Capstone project to be complete in CSE 562 . Systems Track Electives (6 credits)
Select from: Total Credit Hours: 30
3.0 Degree GPA required Instruction Method
- In Person (100 percent of courses offered in person)
SED Statement
This program is officially registered with the New York State Education Department (SED). Online programs/courses may require students to come to campus on occasion. Time-to-degree and number of credit hours may vary based on full/part time status, degree, track and/or certification option chosen. Time-to-degree is based on calendar year(s). Contact the department for details. |
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