Earn your M.S. in Emerging Technologies

Develop the skills to build and deploy AI-driven solutions in any field.

At A Glance

Essential information about our Master’s in Emerging Technologies

Employment Rate

97% Within 6 Months

Specializations

9 Concentrations

Application Deadline

February 15 (Fall)/November 1 (Spring)

Formats

On-Campus or Online

Credits to Completion

30 Credits

Top Industry Employing Our Graduates

Pharmaceutical/Biotech

What You Will Learn in the M.S. in Emerging Technologies

You will create a unique, cross-disciplinary curriculum that expands your understanding of the evolving technology landscape and increases your knowledge of how to effectively apply AI within your specific area of interest.

Address Complex Technological Challenges

Learn to integrate concepts and methodologies from diverse fields and incorporate them in AI-driven solutions.

Innovate and Advance Technologies

Gain the ability to synthesize ideas from various domains in order to design and execute projects that improve upon technology and its applications.

Tailor Your Studies to Your Goals

Concentrations offered in machine learning and artificial intelligence, user experience and design, innovation and change management, software development, robotics, data science, cybersecurity, urban informatics, and wireless and networking.

Who Is This Program for?

The Emerging Technologies M.S. program is designed for students from a range of backgrounds who are interested in pursuing a leadership role in the evolving world of technology without adhering to traditional silos that separate domains.

Recent graduates with degrees in computer science, biology, chemistry, or other related disciplines
Working professionals interested in advancing your career in fields such as healthcare, finance, creative industries, and engineering through AI and tech fluency

Skills you will build

Learn to capitalize on new opportunities within in-demand fields as a pioneer in the ever-changing technology environment.

Applied AI and Real-World Systems

Develop a deep understanding of the potential uses for AI at the forefront of a technology-driven future.

Adaptable Expertise

Build a significant skill set across cutting-edge disciplines, specializing in one concentration but exploring other areas that align with your career goals.

Refined Technical Skills

Gain practical experience in hands-on settings through opportunities in guided studies, thesis work, projects, and a capstone.

Research Mastery

Expand your capabilities to utilize state-of-the-art instrumentation and computational resources as you collaborate on AI and machine learning applications.

Related concepts and tools

Computer Vision

Algorithmic Machine Learning and Data Science

Deep Learning

Robot Perception

Design and Analysis of Algorithms

Human Computer Interaction

What Can You Do With a Degree in Emerging Technologies?

Our graduates are in demand with the most competitive financial services, automotive manufacturing, and tech companies, as well as fast-paced start-ups. They secure positions such as algorithm engineer, business intelligence developer, data and application specialist, digital health innovation consultant, global risks engineer, machine learning engineer, and operations research analyst.

#10

In the U.S. for Graduate Employability

Times Higher Education, 2026

97%

Career Placement after Graduation

Wasserman Report

Where our graduates work

Our alumni are sought after by a wide range of start-ups and leading firms in technology, financial services, and other sectors.

“The Emerging Technologies M.S. program provides a collaborative academic environment where I can study UX design and research alongside expert professors and like-minded peers. Through hands-on assignments, I’m gaining valuable experience and further developing my design and engineering skills.”

Kelly D’oleo
M.S. Emerging Technologies

#21

Data Science and Artificial Intelligence

QS World University Rankings, 2026

#14

Machine Learning

CSRankings, 2026

$61.5 Million

Total Research Expenditures in FY25

140+

Research Labs and Groups on Campus

Frequently Asked Questions

Find quick answers to the questions prospective students ask most about the program.

Can I complete the program part-time?

Yes, you may complete this degree on a part-time basis within five years.

What are the application requirements?

Applicants are required to submit:

Online Application
Application Fee
Personal Essay
Resume
Official Transcripts and Degree Conferral
GRE Testing Information (Optional)
Letters of Recommendation (Optional)

Are scholarships available?

Yes! In addition to Tandon Merit Scholarships, you may be eligible for a graduate assistantship, fellowship, or other funding opportunities.

Are electives offered to customize the program?

Yes, there are nine concentration areas offered:

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

Learn From Faculty With Relevant Expertise

Student experiences are enriched by collaboration with faculty mentors who are internationally recognized experts in the field. You’ll learn from professors who are authors of peer-reviewed journal publications, prestigious award recipients, and patent holders.

Faculty

Dr Peter Voltz

Dr. Peter Voltz is a faculty researcher with the Center for Advanced Technology in Telecommunications and Distributed Information Systems (CATT). His research interests include communications and signal processing, focusing on collaborative innovation that creates economic impact.

Faculty

Dr. Rumi Chunara

Dr. Rumi Chunara is an innovator in computer science and biostatistics, driven by themes of public health and equity. Her recent research includes developing a new AI system that accurately maps urban green spaces and exposes environmental divides.

Ready to lead the way in an AI-driven landscape?

Take the first step by completing the form above.