Emerging Technologies, M.S.
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Build Your Own Master's Degree
In the Emerging Technologies Master of Science program at NYU Tandon, you will have the freedom to design a unique curriculum engineered by you to match your 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, you have the autonomy to select concentrations and courses from across several academic departments at Tandon. Optimize your studies by designing your own path, exploring the intersections across engineering disciplines that best fit your professional passions.
Why Choose NYU Tandon?
The Emerging Technologies M.S. program at Tandon allows you to develop your own unique cross-disciplinary path, integrating specialized learning from a variety of online courses and programs. This degree is inherently adaptable to the evolving technology landscape, leading to new opportunities and career advancement within in-demand fields.
Curriculum Information
You will complete 12 credits in one concentration — a specialized knowledge area — with a selection that includes machine learning & AI, user experience & design, wireless & networking, cybersecurity, innovation & change management, robotics, data science, urban informatics, & software engineering. Your studies will be supplemented by 18 credits of elective courses from across academic departments at Tandon, including courses from nine concentration areas. Prerequisites may be required for some courses.
A Career in Tech, Engineered for You, Engineered by You
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Concentration Areas
Please note: These offerings can vary by semester and may be subject to change.
Machine Learning & Artificial Intelligence
Required Course / Capstone:
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.
OR
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.
Recommended Electives (students must take at least 9 credits from this list):
- ECE-GY 6143 Introduction to Machine Learning, 3 credits
- CS-GY 6923 Machine Learning, 3 credits
- CS-GY 6613 Artificial Intelligence I, 3 credits
- CS-GY 9223 Special Topics: Algorithmic Machine Learning and Data Science, 3 credits
- CS-GY 6643 Computer Vision, 3 credits
- CS-GY 6033 Design & Analysis of Algorithms I, 3 credits
Remaining 18 credits satisfied by electives from other concentrations or courses approved by advisor.
User Experience & Design
Required Course / Capstone:
DM-GY 6143 Interaction Design Studio, 3 credits
Students will complete an appropriate prototype of an interaction design for a client, service, or as a case study in human-computer interaction.
Recommended Electives (students must take at least 9 credits from this list):
- DM-GY 6053 Ideation & Prototyping, 3 credits
- DM-GY 6063 Creative Coding, 3 credits
- DM-GY 9103 User Experience Design, 3 credits
- DM-GY 6133 Mobile Augmented Reality Studio, 3 credits
Remaining 18 credits satisfied by electives from other concentrations or courses approved by advisor.
Wireless & Networking
Required Course / Capstone:
ECE-GY 7353 Network Modeling & Analysis, 3 credits
Students will complete a project either extending an existing network analysis model or implementing an experimental model in an attempt to reproduce and potentially extend a published result from current research.
Recommended Electives (students must take at least 9 credits from this list):
- ECE-GY 6013 Digital Communications, 3 credits
- ECE-GY 6023 Wireless Communications, 3 credits
- ECE-GY 6113 Digital Signal Processing I, 3 credits
- CS-GY 6843 Computer Networking, 3 credits
- ECE-GY 5373 Internet Architecture & Protocols, 3 credits
- ECE-GY 6383 High Speed Networks, 3 credits
Remaining 18 credits satisfied by electives from other concentrations or courses approved by advisor.
Cybersecurity
Required Course / Capstone:
CS-GY 6903 Applied Cryptography, 3 credits
Students will design and build an application that encrypts and decrypts individual files using a password and allows a user to search for keywords in an encrypted file. The program will also be able to detect tampering attempts.
Recommended Electives (students must take at least 9 credits from this list:
- CS-GY 6813 Information, Security, and Privacy, 3 credits
- CS-GY 6823 Network Security, 3 credits
- CS-GY 9163 Application Security, 3 credits
- CS-GY 6573 Penetration Testing & Vulnerability Analysis, 3 credits
- CS-GY 9223 Special Topics: Offensive Security, 3 credits
- CS-GY 9223 Special Topics: Mobile Security, 3 credits
- MG-GY 8213 Information Security for Managers, 3 credits
Remaining 18 credits satisfied by electives from other concentrations or courses approved by advisor.
Innovation & Change Management
Required Course / Capstone:
MG-GY 9753 Strategic Change Management, 3 credits
Students will develop and present a comprehensive plan for implementing an organizational change of their choice, including building a case for the change, planning a change management process, and sustaining the change.
Recommended Electives (students must take at least 9 credits from this list):
- MG-GY 6023 Economics & Strategy, 3 credits
- MG-GY 7953 Global Innovation, 3 credits
- MG-GY 8673 Technology Strategy, 3 credits
Remaining 18 credits satisfied by electives from other concentrations or courses approved by advisor.
Robotics
Required Course / Capstone:
ROB-GY 6323 Reinforcement Learning and Optimal Control for Robotics, 3 credits
Students will design and implement a controller for a 2D quadrotor.
OR
ROB-GY 6423 Interactive Medical Robotics, 3 credits
Students will design and simulate a 2-channel teleoperation system for medical robotics application with TDPC.
Recommended Electives (students must take at least 9 credits from this list):
- 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
- ECE-GY 6143 Introduction to Machine Learning, 3 credits
- CS-GY 6763 Algorithmic Machine Learning & Data Science, 3 credits
Remaining 18 credits satisfied by electives from other concentrations or courses approved by advisor.
Data Science
Required Course / Capstone:
CUSP-GX 6001 Applied Data Science, 3 credits
Students will complete an original research project utilizing open data to address a research question or hypothesis and synthesizing the materials and techniques covered in the curriculum.
Recommended Electives (students must take at least 9 credits from this list):
- CS-GY 6053 Foundations of Data Science, 3 credits
- CS-GY 6313 Information Visualization, 3 credits
- CS-GY 6513 Big Data, 3 credits
- ECE-GY 6363 Data Center and Cloud Computing, 3 credits
Remaining 18 credits satisfied by electives from other concentrations or courses approved by advisor.
Urban Informatics
Required Course / Capstone:
CUSP-GX 7003 Civic Analytics and Urban Intelligence, 3 credits
Students will complete an operational plan for data-based policy and program reform in one government department/agency (e.g., public safety, transportation) or nonprofit (e.g., the Red Cross or Rockefeller Foundation) by creating an overarching reform framework and identifying an area that has potential for significant impact. The plan will include operational and policy detail about existing efforts, assessment of the department or nonprofit, and identification of at least one new technology or platform to be applied. The plan will also include an assessment of community impact; race and equity; and examples of similar reform plans from other agencies, cities, or organizations.
Recommended Electives (students must take at least 9 credits from this list):
- CUSP-GX 5009 Innovative City Governance, 3 credits
- CUSP-GX 5002 Principles of Urban Informatics, 3 credits
- CUSP-GX 6002 Urban Big Data Management & Analysis, 3 credits
- CUSP-GX 6006 Data Visualization, 3 credits
- CUSP-GX 5006 Machine Learning for Cities, 3 credits
Remaining 18 credits satisfied by electives from other concentrations or courses approved by advisor.
Software Development
Required Course / Capstone:
CS-GY 6253 Distributed Operating Systems, 3 credits
Students will select a domain area problem, conduct background research, and propose and implement a distributed system as a solution for the problem.
Recommended Electives (students must take at least 9 credits from this list):
- CS-GY 6063 Software Engineering I, 3 credits
- CS-GY 6073 Software Engineering II, 3 credits
- CS-GY 6373 Programming Languages, 3 credits
- CS-GY 6033 Design & Analysis of Algorithms I, 3 credits
- CS-GY 6043 Design & Analysis of Algorithms II, 3 credits
Remaining 18 credits satisfied by electives from other concentrations or courses approved by advisor.