Program Overview

Program Overview

The Master of Science in Computer Engineering program at the School of Engineering is designed to place students at the forefront of the telecommunications, networks, and microelectronics industries. The program teaches the principles underlying the design and integration of computer components and systems, providing a base from which to launch improvements in the field.

Program Details

The program offers a collaborative environment with industry and government agencies, providing practical experience that adds to in-class explorations in critical areas such as:

• VLSI verification and testing
• Embedded systems design
• Computer architecture

Career Opportunities

Many fields are open to graduates of the program, including:

• Information technology
• Computer design and engineering
• Operating systems and networks
• Computer architecture
• Software applications

Program Structure

The program includes a range of courses, with sample tracks in:

Artificial Intelligence (AI)

• ECE-GY 6143 Machine Learning
• ECE-GY 6233 System Optimization Method
• ECE-GY 6263 Game Theory
• ECE-GY 6303 Probability and Stochastic Processes
• ECE-GY 6363 Data Center and Cloud Computing
• ECE-GY 7123 Deep Learning
• ECE-GY 7143 Advanced Machine Learning

Software

• ECE-GY 6353 Internet Architecture & Protocols (Core Course)
• ECE-GY 6483 Real Time Embedded Systems (Core Course)
• ECE-GY 6473 Introduction to VLSI System Design (Core Course)
• ECE-GY 6463 Advanced Hardware Design (Core Course)
• ECE-GY 6913 Computing Systems Architecture (Core Course)
• ECE-GY 6363 Data Center and Cloud Computing
• ECE-GY 6443 VLSI System and Architecture Design
• ECE-GY 5213 Introduction to Systems Engineering
• ECE-GY 6063 Information Theory
• ECE-GY 6123 Image and Video Processing
• ECE-GY 7353 Network Modeling and Analysis
• ECE-GY 7363 Network Design and Algorithms
• ECE-GY 6323 Introduction to Wireless Networking
• ECE-GY 6113 Digital Signal Processing I

Robotics

• ECE-GY 7213 Robot Localization and Navigation
• ECE-GY 6263 Game Theory
• ECE-GY 6303 Probability and Stochastic Processes
• ECE-GY 7123 Deep Learning
• ECE-GY 6143 Machine Learning
• ECE-GY 7143 Advanced Machine Learning
• ECE-GY 7253 State Space Design for Linear Control Systems
• ROB-GY 6003 Foundations of Robotics
• ROB-GY 6213 Robot Localization and Navigation
• ROB-GY 6323 Reinforcement Learning and Optimal Control for Autonomous Systems I
• ROB-GY 6333 Networked Robotics Systems, Cooperative Control and Swarming
• ROB-GY 6423 Interactive Medical Robotics

NYU Tandon Bridge Program

The NYU Tandon Bridge program is recommended for those interested in a Computer Engineering master's degree who lack a computer engineering degree or other substantial related experience.

Program Director

Ramesh Karri, Electrical and Computer Engineering Department Chair; Professor of ECE

Alumni

Notable alumni include Khary Alexander, M.S., Computer Engineering, 2002, Central Processing Unit Architect, Intel.