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Build Your Career at the
Leading Edge of AI

Each day, more people learn how to use AI, but few know how to develop, evaluate, and responsibly apply AI systems. That calls for advanced expertise.

New York Tech’s Online Artificial Intelligence, M.S. can help you build that technical depth and put it to work solving complex problems and expanding what AI can do.

AI Expertise Is Gaining Value

Demand for advanced AI proficiency is showing up in both job growth and pay. Here’s what recent workforce data show:

62%
Higher wages on average:
Jobs requiring AI skills1
22%
Projected growth, 2025–2035:
Computer and information research scientists2
$146,000
Median annual pay:
AI engineers3

AI is driving demand for tech experts. A master’s degree can be your ticket in.

Where Can Advanced AI Expertise Take You?

Graduate-level command of AI can open several career directions, from building intelligent systems to determining how organizations can use them effectively and responsibly.

AI/ML Engineer

Turn AI and machine learning concepts into working solutions. You’ll focus on creating systems that perform reliably when they leave the development environment and encounter real-world problems.

Machine Learning Engineer

Put machine learning models to work. You’ll bridge the distance between a promising model and a dependable system that can learn from data and deliver useful results.

AI Solutions Architect

Step back from an individual model to consider the larger system around it. You’ll determine how AI technologies can fit together and serve an organization’s needs.

AI Developer

Build the applications through which people actually use AI. You might turn advances in generative AI or natural language processing into tools designed for specific needs and problems.

AI Research Engineer

Push beyond established approaches to investigate difficult technical questions. You’ll experiment with emerging methods and help determine where AI technology can go next.

Technical AI Lead

As your experience grows, you can move from contributing to AI projects to helping guide their technical direction. You’ll bring deeper judgment to the decisions that shape how AI systems are built and deployed.

How Much Can You Make in AI?

AI salaries reflect the specialized expertise these roles demand. In New York City, several career paths offer average base salaries well into six figures.

$201,473
Machine learning engineer4
$191,600
AI/ML engineer5
$182,305
AI developer6
$161,964
Solution architect7

Note: Indeed’s figures are based on salary information from job postings and updated periodically, so actual compensation will vary.

Put New York Tech’s Career Resources to Work

As you plan your next career move, New York Tech offers advising, tools, and programs to help you connect your education with your professional goals

Get Personalized Career Guidance

Meet with a career advisor to clarify your goals, explore opportunities, and strengthen your résumé and LinkedIn presence. Current students and alumni can schedule advising through Handshake.

Find Opportunities and Employers

Use Handshake to search for jobs and internships, research employers, attend events and career fairs, and access career resources. CareerShift provides another way to explore opportunities nationwide.

Prepare for the Hiring Process

New York Tech provides resources for résumé development, interviewing, professional profiles, and job-search strategy. Use Big Interview, New York Tech’s online interview-preparation platform, to practice and review your responses, then meet with a career advisor for personalized feedback.

Explore Career Resources ➔

A female NYIT student is working on a laptop, with assistance from a fellow male student.

Gain the Expertise to Shape AI

Get under the hood of intelligent technology. In New York Tech’s Online Artificial Intelligence, M.S. program, you’ll learn to build, evaluate, and responsibly apply intelligent systems, completing the 30-credit degree in as few as 10 months.

Fill out the form to access your program brochure and learn more about the curriculum, online experience, admissions, and career opportunities.

Advance from AI User to AI Innovator

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Admissions Deadlines

Nov
13
Priority Deadline
November 13
Spring 2027
Jan
11
Final Deadline
January 11
Spring 2027
Jan
25
Start Date
January 25
Spring 2027
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Sources:
  1. Retrieved on October 2, 2026, from pwc.com/gx/en/issues/artificial-intelligence/job-barometer/2026/2026-global-ai-jobs-barometer-full-report.pdf
  2. Retrieved on October 2, 2026, from bls.gov/ooh/computer-and-information-technology/computer-and-information-research-scientists.htm
  3. Retrieved on October 2, 2026, from glassdoor.com/Salaries/united-states-ai-engineer-salary-SRCH_IL.0%2C13_IN1_KO14%2C25.htm
  4. Retrieved on October 2, 2026, from indeed.com/career/machine-learning-engineer/salaries/New-York--NY
  5. Retrieved on October 2, 2026, from indeed.com/career/ai%2Fml-engineer/salaries/New-York--NY
  6. Retrieved on October 2, 2026, from indeed.com/career/ai-developer/salaries/New-York--NY
  7. Retrieved on October 2, 2026, from indeed.com/career/solution-architect/salaries/New-York--NY