Overview
The M.S. in Emerging Technologies is a customizable 30-credit degree designed for forward-thinking tech innovators. As a student, you'll learn to navigate and lead in rapidly evolving fields by building specialized expertise across artificial intelligence, urban informatics, user experience design, and software engineering.
As with all of our master's programs, applicants are required to have received a 4-year bachelor’s degree from an accredited institution. We recommend that applicants have a background in either biology/chemistry/a related science OR computer science/another related field. Some applicants have a background in both knowledge areas, but it is not an expectation to gain entrance to the program. For those interested in this program but without the necessary background, please check out our NYU Tandon Bridge course.
- Online application
- $90 Application fee
- Official transcripts and proof of degree from all post-secondary institutions
- Statement of purpose
- Resume or curriculum vitae (CV)
- Letters of recommendation (optional)
- English Language Proficiency testing (where applicable)
Find out more about Admission Requirements.
Tuition varies based on your program, term admitted and credit hours.
We are committed to keeping graduate studies affordable for all of our students. You’ll have access to on-campus employment programs that include teaching and research assistantships, as well as financial aid, scholarships, grants, and loans.
Explore our Tuition, Financial Aid, and Scholarships page to learn more about these opportunities.
Office of Graduate Enrollment and Admissions
NYU Tandon School of Engineering
458 Pike Road
Huntingdon Valley, PA
engineering.gradinfo@nyu.edu
646-997-3182
At a Glance
#42
Best Engineering School Nationwide
(U.S. News & World Report)
#7
Nationwide in Machine Learning
(CSRankings)
Top 10
for Graduate Employability in the U.S.
(Times Higher Education)
Market Outlook
NYC Advantage
NYU Tandon's location provides M.S. in Emerging Technologies students direct access to New York City’s rapidly growing tech ecosystem. Students take advantage of exceptional local networking opportunities, corporate partnerships, and industry internships across tech hubs, media agencies, financial tech firms, and cutting-edge startups actively shaping emerging tech.
Why Choose NYU Tandon?
The Emerging Technologies master'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 AI-driven landscape, leading to new opportunities and career advancement within in-demand fields.
Master's students in the Emerging Technologies program benefit from a deeply personalized experience. You'll be matched with a dedicated advisor who works with you one-on-one to shape a customized academic plan tailored to your interests and ambitions. This individualized support ensures you can fully explore the emerging tech landscape — and prepare to lead in an AI-focused world — while tapping into NYU's expansive network of resources, research opportunities, and industry connections.
Curriculum
To complete the Emerging Technologies Master's program, students are required to earn 30 total credits and fulfill the following requirements:
- 12 credits of concentration coursework, including a concentration capstone course
- 18 credits of interdisciplinary electives
Please note: These offerings can vary by semester and may be subject to change.
- Machine Learning & Artificial Intelligence
- User Experience & Design
- Innovation & Change Management
- Software Development (on campus only)
- Robotics (on campus only)
- Data Science
- Cybersecurity
- Urban Informatics (on campus only)
- Wireless & Networking
The 18 credits of interdisciplinary elective courses may come from across academic departments at Tandon, including courses from the nine concentration areas. It is strongly encouraged that 6 of the 18 elective credits should be selected from a list of approved AI Competency courses that emphasize building and deploying AI-driven solutions, as determined and periodically updated by the Program Director. Students are also encouraged to explore courses from schools outside of Tandon. Prerequisites may be required to enroll in electives.
At NYU Tandon, experiential learning opportunities provide students the chance to engage in practical, hands-on learning to refine technical and leadership skills. The Emerging Technologies Master's program allows for students to complete various opportunities for credit counting towards degree requirements. In adherence with NYU Tandon Graduate Academic policies, students may not complete more than a combined total of 9 credits of project, guided studies, readings, or thesis toward fulfillment of the master's degree requirements.
Student Research
Experiential Learning Center
Tandon Career Hub
Quantum Science and Technology, M.S.
Cybersecurity, M.S.
Management of Technology, M.S.
To earn a Master of Science in Emerging Technologies, students must complete 30 credits to qualify for graduation.
The M.S. in Emerging Technologies program is offered in flexible modalities, including both on-campus and online formats. Students are eligible to enroll in courses online or on campus depending on their chosen track and enrollment pathway.
Spring Semester
-
November 1: M.S. general consideration
Fall Semester
- December 1: M.S. priority consideration
- February 15: M.S. general consideration
- Online application
- $90 Application fee
- Official transcripts and proof of degree from all post-secondary institutions
- Statement of purpose
- Resume or curriculum vitae (CV)
- Letters of recommendation (optional)
- English Language Proficiency testing (where applicable)
Yes. All graduate students are encouraged to pursue research opportunities and utilize state-of-the-art facilities across the entire NYU community. Emerging technologies students often utilize specialized labs such as the MakerSpace, media design studios, and centers like Center for Urban Science + Progress (CUSP) and the NYU Center for Cybersecurity.