Computer Science and Engineering MS

Required Core (12 credits)

• CSE 521LEC - Operating Systems Credits: 3
• CSE 531LEC - Algorithms Anal & Dsgn 1 Credits: 3
• CSE 565LEC - Computer Security Credits: 3
• CSE 574LEC - Intro Machine Learning Credits: 3

Focus Area Courses (6 credits)

Any CSE 5xx or 6xx level course EXCLUDING:

• CSE 501LEC - Introduction to Graduate Study in Computer Science I Credits: 1
• CSE 502LEC - Grad Studies in CS 2 Credits: 2
• CSE 503LR - Computer Science for Non Majors Credits: 3
• CSE 504LR - Computer Science for Non-Majors II Credits: 3
• CSE 508LEC - Programming with Python Credits: 1
• CSE 510LEC - Special Topics Credits: 1 - 3 Except when noted in the class syllabus
• CSE 542LEC - Software Eng Concepts Credits: 3
• CSE 544LEC - Machine Learning and Society for Nonmajors Credits: 3
• CSE 578LEC - Computational Investment Credits: 3
• CSE 598TUT - Internship Credits: 1-3
• CSE 610LEC - Special Topics Credits: 3
• CSE 611LEC - MS Project Development Credits: 3

Electives (9 credits)

• 3 credits of ANY CSE 5xx, 6xx, or 7xx class AND
• 6 credits of any class listed below

• DEE 501SEM - Foundations of Engineering Education Credits: 3
• DEE 502SEM - Equity and Inclusion in Engineering Education Credits: 3
• DEE 520SEM - Computing Education Credits: 3
• EAS 501LEC - Introduction to Numerical Mathematics for Computing and Data Science Credits: 3
• EAS 580LEC - Technical Communication for Engineers Credits: 3
• EE 520LEC - Quantum Computing and Devices Credits: 3
• EE 526LEC - Wearable and Implantable Sensors Credits: 3
• EE 542LEC - Advanced Energy Grid Systems I Credits: 3
• EE 545LEC - Principles of Cellular Communication Networks Credits: 3
• MGF 633LEC - Investment Management Credits: 3
• MGO 634LEC - Project Management Credits: 3
• MGO 660LEC - Intro to Entrepreneurship Credits: 3
• MGO 665SEM - Technological Entrepreneurship Credits: 3
• MGO 680LEC - International Strategic Management Credits: 3
• MGS 602LEC - Information Technology and Cloud Infrastructure Management Credits: 3
• MGS 607LEC - Technology and Innovation Management Credits: 3
• MGS 616LEC - Predictive Analytics Credits: 3
• MGS 625LEC - Management of IT Projects Credits: 3
• MGS 628LEC - Data Visualization for Business Insights Credits: 3
• MGS 636LEC - Applied AI for Managers Credits: 3
• MGS 639LEC - Cybersecurity, Privacy & Ethics Credits: 3
• MGS 640LEC - IT Risk Management Credits: 3
• MGS 642LEC - IS Auditing for IT Managers Credits: 3
• MGS 650LEC - Information Assurance Credits: 3
• MGS 653LEC - Social Network Analytics Credits: 3
• MGS 660LEC - Big Data Information Management: Architecture and Tools Credits: 1.5
• MTH 558LEC - Mathematical Finance Credits: 3
• STA 667LEC - Adv Bayesian Inference Credits: 3

•  

• PSY 575LEC - Intro to Cognitive Science Credits: 3

•  

• STA 545LEC - Statistical Data Mining I Credits: 3 or
• CDA 541LEC - Statistical Data Mining I Credits: 3 or
• EAS 506LEC - Statistical Data Mining I Credits: 3

•  

• STA 546LEC - Data Mining II Credits: 3 or
• CDA 532LEC - Statistical Data Mining II Credits: 3 or
• EAS 507LEC - Statistical Data Mining II Credits: 3

Culminating Experience: Project (3 credits)

Any approved Capstone course - current list includes:

• CSE 562LEC - Database Systems Credits: 3
• CSE 573LEC - Comp Vision & Image Proc Credits: 3
• CSE 700TUT - Independent Study Credits: 1 - 3 Requires Advisor approval, An assessed artifact, and a public presentation.

Total Credit Hours: 30

3.0 Degree GPA required

Program Learning Outcomes (PLOs)

1) Ability to conduct research or professional practice.

2) Demonstrate broad knowledge in core areas in Computer Science and Engineering

3) Demonstrate deeper knowledge in a focused area in Computer Science and Engineering

SED Statement

This program is officially registered with the New York State Education Department (SED).