Emerging Technologies: Concentration in Machine Learning & Artificial Intelligence, M.S.

M.S. Emerging Technologies

Build Your Own Master’s Degree

In the Emerging Technologies Master of Science program at NYU Tandon, students have the freedom to design a unique curriculum engineered by them to match their interests and professional aspirations.

This degree is ideal for individuals who intend to advance their careers within various tech roles across multiple industries. Explore cross-functional and high-value knowledge areas including machine learning & AI, user experience & design, wireless, cybersecurity, innovation & change management, robotics, data science, urban informatics, and software engineering.

In this 30-credit program, students have the autonomy to select concentrations* and courses from across several academic departments at Tandon. Students are free to optimize their studies by designing their own path, exploring the intersections across engineering disciplines that best fit their professional passions.

*_{Students may switch concentration once during the M.S. in Emerging Technologies program, but only after one semester in the original plan of study, and not in the last semester.}

Core Courses (9 credits)

Students will select at least three courses (9 credits) from the following selection of Machine Learning & Artificial Intelligence courses.

CS-GY 6033 Design and Analysis of Algorithms I 3 Credits
CS-GY 6613 Artificial Intelligence I 3 Credits
CS-GY 6643 Computer Vision 3 Credits
CS-GY 6763 Algorithmic Machine Learning and Data Science 3 Credits
CS-GY 6923 Machine Learning 3 Credits
Or ECE-GY 6143 Machine Learning 3 Credits

Capstone (3 credits)

Students have two choices to complete the capstone course requirement.

Capstone Option 1: ECE-GY 7143 Advanced Machine Learning 3 Credits

Students will complete a project proposing, demonstrating, and evaluating a new theoretical or practical method addressing a notable issue in deep learning. Examples include compression of neural networks, optimization methods, multi-label classification, and bounding.

Capstone Option 2: CS-GY 6943 Artificial Intelligence for Games 3 Credits

Students will work on a comprehensive project with the goal of producing research that could be publishable in CIG, AIIDE, FDG, or other core venues. Projects could include work such as a new game-playing algorithm, a new way of using an existing algorithm in a game, AI for your existing game, a new procedural generation algorithm, an analysis of how use PCG in various types of games, a characterization of a problem, a new user study, etc.

Emerging Technologies Electives (18 credits)

Students may choose electives from the following lists that best suit their own interests and academic and professional goals. Other courses, not on this list, may be chosen with advisor approval. Note: courses that have been used to fulfill the core or capstone requirements do not also count towards the elective credits.

CS-GY 6033 Design and Analysis of Algorithms I 3 Credits
CS-GY 6043 Design and Analysis of Algorithms II 3 Credits
CS-GY 6053 Foundation of Data Science 3 Credits
CS-GY 6063 Software Engineering I 3 Credits
CS-GY 6073 Software Engineering II 3 Credits
CS-GY 6313 Information Visualization 3 Credits
CS-GY 6373 Programming Languages 3 Credits
CS-GY 6513 Big Data 3 Credits
CS-GY 6573 Penetration Testing and Vulnerability Analysis 3 Credits
CS-GY 6613 Artificial Intelligence I 3 Credits
CS-GY 6643 Computer Vision 3 Credits
CS-GY 6763 Algorithmic Machine Learning and Data Science 3 Credits
CS-GY 6813 Information, Security and Privacy 3 Credits
CS-GY 6823 Network Security 3 Credits
CS-GY 6843 Computer Networking 3 Credits
CS-GY 6923 Machine Learning 3 Credits
Or ECE-GY 6143 Machine Learning 3 Credits
CS-GY 9163 Application Security 3 Credits
CS-GY 9223 Mobile Security 3 Credits
CS-GY 9223 Offensive Security 3 Credits
CUSP-GX 7013 Introduction to Applied Data Science 3 Credits
CUSP-GX 7033 Machine Learning for Cities 3 Credits
CUSP-GX 7053 Innovative City Governance 3 Credits
CUSP-GX 8083 Big Data Management & Analysis 3 Credits
CUSP-GX 8093 Data Visualization 3 Credits
DM-GY 6053 Ideation & Prototyping 3 Credits
DM-GY 6063 Creative Coding 3 Credits
DM-GY 6133 Mobile Augmented Reality Studio 3 Credits
DM-GY 9103 Special Topics in Digital Media: User Experience Design 3 Credits
DS-GA 3001 Special Topics in Data Science: Responsible Data Science 3 Credits
ECE-GY 6013 Digital Communications 3 Credits
ECE-GY 6023 Wireless Communications 3 Credits
ECE-GY 6113 Digital Signal Processing I 3 Credits
ECE-GY 6353 Internet Architecture and Protocols 3 Credits
ECE-GY 6363 Data Center and Cloud Computing 3 Credits
ECE-GY 6383 High-Speed Networks 3 Credits
MG-GY 6023 Economics & Strategy 3 Credits
MG-GY 7953 Global Innovation 3 Credits
MG-GY 8213 Information Security and Privacy for Managers 3 Credits
MG-GY 8673 Technology Strategy 3 Credits
ROB-GY 6003 Foundations of Robotics 3 Credits
ROB-GY 6203 Robot Perception 3 Credits
ROB-GY 6213 Robot Localization and Navigation 3 Credits
ROB-GY 6313 Robotic Gait and Manipulation 3 Credits

Sample Study Plans for Emerging Technologies

Full-Time Study Plan

1st Semester	Credits	2nd Semester	Credits
Core Course	3	Core Course	3
Elective	3	Elective	3
Elective	3	Elective	3
3rd Semester	Credits	4th Semester	Credits
Core Course	3	Capstone	3
Elective	3
Elective	3

Part-Time Study Plan

1st Semester	Credits	2nd Semester	Credits
Core Course	3	Core Course	3
Elective	3	Elective	3
3rd Semester	Credits	4th Semester	Credits
Core Course	3	Elective	3
Elective	3	Elective	3
5th Semester	Credits
Capstone	3
Elective	3