Program Overview

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Emerging Technologies (MS)

The Emerging Technologies Master of Science program at NYU Tandon offers students the freedom to design a unique curriculum that matches their interests and professional aspirations. This degree is ideal for individuals who intend to advance their careers within various tech roles across multiple industries.

Program Description

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.

Why Choose NYU Tandon?

The Emerging Technologies MS program at Tandon allows students to develop their 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.

Program Requirements

The program requires the completion of 30 credits, and students will select one of the following concentrations:

• Cybersecurity
• Data Science
• Innovation & Change Management
• Machine Learning & Artificial Intelligence
• Robotics
• Software Development
• Urban Informatics
• User Experience & Design
• Wireless & Networking

Concentration Details

Cybersecurity

• Concentration Electives: Select three of the following courses:
  • CS-GY 6573: Penetration Testing and Vulnerability Analysis
  • CS-GY 6813: Information, Security and Privacy
  • CS-GY 6823: Network Security
  • CS-GY 9163: Application Security
  • CS-GY 9215: Special Topics in Computer Science (Cyber Risk Management)
  • CS-GY 9215: Special Topics in Computer Science (Cyber Resiliency Management)
  • CS-GY 9223: Selected Topics in CS (Mobile Security)
  • CS-GY 9223: Selected Topics in CS (Offensive Security)
  • MG-GY 8213: Information Security for Managers
• Capstone: CS-GY 6803: Information Systems Security Engineering and Management
• Emerging Technologies Electives: Choose 18 credits from the Emerging Technologies Electives list.

Data Science

• Concentration Electives: Select three of the following courses:
  • BI-GY 7743: Machine Learning and Data Science for Bioinformatics
  • CS-GY 6053: Foundation of Data Science
  • CS-GY 6313: Information Visualization
  • CS-GY 6513: Big Data
  • CUSP-GX 7013: Introduction to Applied Data Science
  • CUSP-GX 8093: Data Visualization
  • ECE-GY 6363: Data Center and Cloud Computing
• Capstone: CUSP-GX 7023: Applied Data Science
• Emerging Technologies Electives: Choose 18 credits from the Emerging Technologies Electives list.

Innovation & Change Management

• Concentration Electives:
  • MG-GY 6023: Economics and Strategy
  • MG-GY 7953: Global Innovation
  • MG-GY 8673: Technology Strategy
• Capstone: MG-GY 9503: MOT Capstone Project Course
• Emerging Technologies Electives: Choose 18 credits from the Emerging Technologies Electives list.

Machine Learning & Artificial Intelligence

• Concentration Electives: Select three of the following courses:
  • BI-GY 7743: Machine Learning and Data Science for Bioinformatics
  • CS-GY 6033: Design and Analysis of Algorithms I
  • CS-GY 6613: Artificial Intelligence I
  • CS-GY 6643: Computer Vision
  • CS-GY 6763: Algorithmic Machine Learning and Data Science
  • CS-GY 6923: Machine Learning
  • or ECE-GY 6143: Machine Learning
  • CS-GY 6953: Deep Learning
• Capstone: Select one of the following courses:
  • ECE-GY 7143: Advanced Machine Learning
  • CS-GY 6943: Artificial Intelligence for Games
• Emerging Technologies Electives: Choose 18 credits from the Emerging Technologies Electives list.

Robotics

• Concentration Electives: Select three of the following courses:
  • CS-GY 6613: Artificial Intelligence I
  • CS-GY 6763: Algorithmic Machine Learning and Data Science
  • ECE-GY 6143: Machine Learning
  • or CS-GY 6923: Machine Learning
  • ROB-GY 6003: Foundations of Robotics
  • ROB-GY 6203: Robot Perception
  • ROB-GY 6213: Robot Localization and Navigation
  • ROB-GY 6313: Robotic Gait and Manipulation
• Capstone: Select one of the following courses:
  • ROB-GY 6323: Reinforcement Learning and Optimal Control for Autonomous Systems I
  • ROB-GY 6423: Interactive Medical Robotics
• Emerging Technologies Electives: Choose 18 credits from the Emerging Technologies Electives list.

Software Development

• Concentration Electives: Select three of the following courses:
  • CS-GY 6033: Design and Analysis of Algorithms I
  • CS-GY 6063: Software Engineering I
  • CS-GY 6373: Programming Languages
  • CS-GY 9053: Special Topics in Computer Science (Intro to Java)
  • CS-GY 9223: Selected Topics in CS (CS-Open Source/Professional Software)
• Capstone: Select one of the following courses:
  • CS-GY 6533: Interactive Computer Graphics
  • CS-GY 9223: Selected Topics in CS (Distributed Systems)
• Emerging Technologies Electives: Choose 18 credits from the Emerging Technologies Electives list.

Urban Informatics

• Concentration Electives: Select three of the following courses:
  • CUSP-GX 5053: Geographic Information Systems
  • CUSP-GX 6023: Introduction to Programming for Solving Urban Challenges
  • CUSP-GX 7013: Introduction to Applied Data Science
  • CUSP-GX 7053: Innovative City Governance
  • CUSP-GX 8093: Data Visualization
• Capstone: CUSP-GX 7043: Civic Analytics
• Emerging Technologies Electives: Choose 18 credits from the Emerging Technologies Electives list.

User Experience & Design

• Concentration Electives: Select three of the following courses:
  • CS-GY 6543: Human Computer Interaction
  • DM-GY 6053: Ideation & Prototyping
  • DM-GY 6063: Creative Coding
  • DM-GY 6133: Mobile Augmented Reality Studio
  • DM-GY 7133: User Experience Design
  • DM-GY 9103: Special Topics in Digital Media (Visual Design Studio)
• Capstone: DM-GY 9103: Special Topics in Digital Media (Project Design Studios)
• Emerging Technologies Electives: Choose 18 credits from the Emerging Technologies Electives list.

Wireless & Networking

• Concentration Electives: Select three of the following courses:
  • CS-GY 6843: Computer Networking
  • ECE-GY 6013: Digital Communications
  • ECE-GY 6023: Wireless Communications
  • ECE-GY 6113: Digital Signal Processing I
  • ECE-GY 6353: Internet Architecture & Protocols
  • ECE-GY 6383: High-Speed Networks
• Capstone: ECE-GY 7353: Network Modeling and Analysis
• Emerging Technologies Electives: Choose 18 credits from the Emerging Technologies Electives list.

Emerging Technologies Electives

The following courses are available as Emerging Technologies Electives:

• BI-GY 7743: Machine Learning and Data Science for Bioinformatics
• CS-GY 6033: Design and Analysis of Algorithms I
• CS-GY 6053: Foundation of Data Science
• CS-GY 6063: Software Engineering I
• CS-GY 6313: Information Visualization
• CS-GY 6373: Programming Languages
• CS-GY 6513: Big Data
• CS-GY 6543: Human Computer Interaction
• CS-GY 6573: Penetration Testing and Vulnerability Analysis
• CS-GY 6613: Artificial Intelligence I
• CS-GY 6643: Computer Vision
• CS-GY 6763: Algorithmic Machine Learning and Data Science
• CS-GY 6813: Information, Security and Privacy
• CS-GY 6823: Network Security
• CS-GY 6843: Computer Networking
• CS-GY 6923: Machine Learning
• or ECE-GY 6143: Machine Learning
• CS-GY 6953: Deep Learning
• CS-GY 9053: Special Topics in Computer Science (Intro to Java)
• CS-GY 9163: Application Security
• CS-GY 9215: Special Topics in Computer Science (Cyber Resiliency Management)
• CS-GY 9215: Special Topics in Computer Science (Cyber Risk Management)
• CS-GY 9223: Selected Topics in CS (CS-Open Source/Professional Software)
• CS-GY 9223: Selected Topics in CS (Mobile Security)
• CS-GY 9223: Selected Topics in CS (Offensive Security)
• CUSP-GX 5053: Geographic Information Systems
• CUSP-GX 6023: Introduction to Programming for Solving Urban Challenges
• CUSP-GX 7013: Introduction to Applied Data Science
• CUSP-GX 7053: Innovative City Governance
• CUSP-GX 8093: Data Visualization
• DM-GY 6053: Ideation & Prototyping
• DM-GY 6063: Creative Coding
• DM-GY 6133: Mobile Augmented Reality Studio
• DM-GY 7133: User Experience Design
• DM-GY 9103: Special Topics in Digital Media (Visual Design Studio)
• ECE-GY 6013: Digital Communications
• ECE-GY 6023: Wireless Communications
• ECE-GY 6113: Digital Signal Processing I
• ECE-GY 6353: Internet Architecture & Protocols
• ECE-GY 6363: Data Center and Cloud Computing
• ECE-GY 6383: High-Speed Networks
• GA-GY 8003: Global Perspectives in Emerging Technology
• MG-GY 6023: Economics and Strategy
• MG-GY 7953: Global Innovation
• MG-GY 8213: Information Security for Managers
• MG-GY 8673: Technology Strategy
• ROB-GY 6003: Foundations of Robotics
• ROB-GY 6203: Robot Perception
• ROB-GY 6213: Robot Localization and Navigation
• ROB-GY 6313: Robotic Gait and Manipulation

Changing Concentrations

Students may switch concentrations once during the program, but only after one semester in their original concentration. Any change in concentration must be requested before the student's final semester.

Sample Plan of Study

Full-Time

• 1st Semester/Term: Concentration Elective (3 credits), Emerging Technologies Elective (3 credits), Emerging Technologies Elective (3 credits)
• 2nd Semester/Term: Concentration Elective (3 credits), Emerging Technologies Elective (3 credits), Emerging Technologies Elective (3 credits)
• 3rd Semester/Term: Concentration Elective (3 credits), Emerging Technologies Elective (3 credits), Emerging Technologies Elective (3 credits)
• 4th Semester/Term: Capstone (3 credits)

Part-Time

• 1st Semester/Term: Concentration Elective (3 credits), Emerging Technologies Elective (3 credits)
• 2nd Semester/Term: Concentration Elective (3 credits), Emerging Technologies Elective (3 credits)
• 3rd Semester/Term: Concentration Elective (3 credits), Emerging Technologies Elective (3 credits)
• 4th Semester/Term: Emerging Technologies Elective (3 credits), Emerging Technologies Elective (3 credits)
• 5th Semester/Term: Capstone (3 credits), Emerging Technologies Elective (3 credits)

Learning Outcomes

Upon successful completion of the program, graduates will:

1. Integrate concepts and methodologies from diverse fields to address complex technological challenges, showcasing their ability to work effectively at the intersection of different disciplines.
2. Develop the capacity to synthesize ideas from various domains, facilitating the creation of new knowledge in emerging technology areas, and demonstrate their ability to design and execute projects that contribute to the advancement of technology and its applications.
3. Thrive in dynamic and ever-changing technology environments, while exhibiting a high degree of adaptability, enabling them to leverage their interdisciplinary education to capitalize on new opportunities within in-demand fields.

Policies

NYU Policies

University-wide policies can be found on the New York University Policy pages.

Tandon Policies

Additional academic policies can be found on the Tandon academic policy page.