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Artificial Intelligence, MS

Learn natural language processing, build large language models (LLMs), and engage in faculty-led research at the Pace AI Lab on our New York City Campus. With a Master of Science in Artificial Intelligence from ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ, youÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™ll gain the advanced technical skills and research experience needed to join the next generation of AI innovators, developers, and problem solvers.

ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ student working with her professor on a robotic's project.
Location

New York City

Duration

2 Years

Modality

In person

Start Dates

Fall, Spring

F1 Visa

Yes

STEM Designated Program

Yes

Apply machine learning to real problems

As a graduate student in the Master of Science in Artificial Intelligence program, youÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™ll dive deeply into the science and technology of AI within a rigorous academic environment. Study machine learning, natural language processing (NLP), robotics, and generative AI, while collaborating on faculty-led research projects that explore how AI transforms industries and human experiences.

At PaceÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s Seidenberg School of Computer Science and Information Systems, faculty researchers are applying AI to solve real-world challenges in healthcare, education, the future of work, art, and fashionÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ”and beyond. Because AI is inherently interdisciplinary, our AI degree program reflects that breadth through psychology electives in neuropsychology, human learning, and cognitive psychology, helping you understand both the technology and the human mind behind it.

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$136,000

median annual salary for AI engineer (Source: Glassdoor)

350,000

number of new US tech jobs in past year (Source: CompTIA)

97%

of Seidenberg students are employed, continuing their education, or pursuing service within one year of graduation (Source: ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ Services)

Curriculum

In the Master of Science in Artificial Intelligence program, youÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™ll gain both the theoretical foundation and hands-on experience to design, implement, and evaluate intelligent systems. The curriculum covers core areas such as machine learning, natural language processing, robotics, and computer vision preparing you to develop the next generation of AI-driven technologies and applications.

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Get your Master of Science in Artificial Intelligence degree

ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s campuses in New York City and Westchester provide unmatched access to tech internships, professional mentorships, and AI research opportunities in robotics, machine learning, and natural language processing (NLP)ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ”all within a global hub of artificial intelligence innovation. At the Seidenberg School of Computer Science and Information Systems, youÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™ll learn from faculty pioneers in AI research, including Professor Juan Shan, PhD, who applies machine learning to predict the progression of knee osteoarthritis in medical patientsÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ”advancing the use of AI in healthcare and data-driven medicine. YouÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™ll also have access to the Pace AI Lab, where students can take extra training and research with faculty. Pace is also home to a Robotics Lab and an Augmented Intelligence Lab, where faculty work with students on research projects in computer vision and human-computer interaction.

Beyond developing deep expertise in artificial intelligence, youÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™ll become part of ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s extensive network of AI professionals and alumni working at leading tech companies such as Google, Meta, and more. With more than 161,000 alumni worldwide, PaceÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s global community provides invaluable opportunities to connect with hiring managers, expand your professional network, and launch your career in AI.

ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þs

ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s New York City location places you at the heart of one of the worldÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s leading technology and innovation hubs, surrounded by thousands of opportunities in AI, data science, and emerging tech industries. With a global alumni network of more than 161,000 professionals, youÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™ll gain access to invaluable mentorships, career fairs, and industry connections. Pace graduates are making an impact at top companies such as Google, Amazon, Meta, and OpenAI, as well as at cutting-edge startups shaping the future of artificial intelligence.

Artificial intelligence is one of todayÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s fastest-growing and most rewarding fields, offering high-demand, high-paying roles across sectors including healthcare, government, technology, finance, and business. Whether you aspire to become an AI engineer, data scientist, or machine learning researcher, your Master of Science in Artificial Intelligence from ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ will prepare you for success.

Through PaceÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ Services team, youÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™ll receive personalized career support, including resume development, interview preparation, and direct access to a robust database of job and internship opportunities. From your first semester to long after graduation, Pace helps you turn your AI degree into a thriving career in technology and innovation.

Our graduates are prepared for jobs like:

  • AI Engineer (Average Salary: $109,000ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ“$175,000)
  • Data Scientist (Average Salary: $124,000ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ“$211,000)
  • Robotics Engineer (Average Salary: $108,000ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ“$182,000)
  • AI Product Manager (Average Salary: $153,000-$231,000)
  • Computer Vision Specialist (Average Salary: $126,000ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ“$206,000)
  • AI Research Scientist (Average Salary: $124,000ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ“$180,000)

Student Quote

Ross Carvalho ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™25, graduate student at PaceÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s Seidenberg School of Computer Science and Information Systems.
At Pace, IÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™ve taken courses in deep learning, computer vision, and natural language processing . . . these are the fundamental blocks of AI, and Pace provides a solid foundation in these areas.

Ross Carvalho ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™25

International ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ Success Program

The is a badged internship and career success program exclusive to Pace. Year after year, this one-of-a-kind program empowers international students to achieve results in obtaining internships, jobs, and salary outcomes.

Where Pace Graduates are Employed

  • Amazon
  • Capital One
  • Department of Defense
  • Google
  • GrubHub
  • IBM
  • JP Morgan Chase
  • Meta
  • Microsoft
  • Pfizer

Featured Faculty

Dr. AmirianÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s research interest is within explainable, interpretable, and accountable AI and machine learning.

Dr. ScharffÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s is a two-time Fulbright scholar with research interests in AI. She co-directs the Pace Artificial Intelligence Lab.

Dr. Shan specializes in applied machine learning for medical image analysis and computer-aided diagnosis.

Admission and Financial Aid

You're ready for a new level of successÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ”whether it's advancing in your current field or launching a new career. Pace is with you every step of the way, providing a world-class education and the skills your industry will be looking for far into the future.

    • A personal statement explaining to the Graduate Admission Committee why you would like to pursue the program of graduate study you have chosen. Additional information regarding your academic performance, as well as professional experience, may also be included in the supplement.
    • A resume or outline describing at least the past five years of your employment history and any significant community, professional, or college extracurricular activities.
    • Two letters of recommendation are optional, but strongly recommended. If you choose to submit letters of recommendation in support of your application, letters should be from academic or professional references who can knowledgeably comment on your ability to successfully complete graduate study. Please note that the Graduate Admission Committee reserves the right to require letters of recommendation on a case-by-case basis.
    • All Official Transcripts: Transcripts from every accredited college or university attended (not just the degree granting institution) must be sent either to ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ, directly from the academic institution electronically or by mail, or forwarded by the applicant in sealed envelopes from the academic institution.
  • Per credit: $1,670 (On-Campus) | Total cost of program: $50,100
    *Tuition based on current year and subject to change.

  • Fall Term

    • Domestic Students: August 1
    • International Students: June 1

    Spring Term

    • Domestic Students: December 1
    • International Students: October 1

    Summer Term

    • Domestic Students: May 1
    • International Students: March 1
  • Make an appointment to .

  • Every admitted student is automatically considered for all available financial aid options, assessed based on both availability and individual need. Financial resources include:

    • Merit-based Scholarships: Awards of up to $6,400, automatically considered during the application process.
    • Graduate Assistantships: Opportunities for hands-on experience while earning financial support.
    • Endowed Scholarships: Awards funded by generous donors to support student success.
    • Federal Direct Unsubsidized Stafford Loan: A federal loan program with favorable terms.
    • Graduate/Professional Direct PLUS Loan: For students who need additional funding.
    • Work-Study Programs: Part-time work opportunities to help fund your education.
    • Military Benefits: Includes the GI Bill®, the Yellow Ribbon Program, and PaceÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s Veteran Tuition Scholarship.

    For more information about affordability and the full range of financial aid options, visit ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ Financial Aid.

    GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs (VA).

Frequently Asked Questions

  • Yes, you can take the MS in Artificial Intelligence without a computer science background. For those without prior experience or who need to refresh their skills, the program has three bridge courses covering foundational topics that will prepare you for the masterÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ™s program. Credits earned from bridge courses do not count toward completing the MS in Artificial Intelligence.

  • The MS in Artificial Intelligence focuses on the development and advancement of core AI theory, algorithms, and models. The program is ideal for those interested in becoming AI researchers, developers, or engineers. The core of the program aims to build deep technical skills in machine learning, NLP, robotics, and cognitive science. It is a highly technical program with advanced math and programming.

    The MS in Applied AI focuses on the practical application and integration of AI technologies within organizational context. The program is ideal for becoming a technical expert in AI deployment, strategy, or governance. The core of the program aims to provide interdisciplinary, project-based learning with real-world examples. The technical intensity varies based on the courses you choose, but can range from fairly high to moderate.

Contact Us

Admission Contact

Office of Graduate Admission
Phone: (800) 874-7223ÄÐÅ®²Ù±ÆÊÓÆµÈí¼þ¯
Email: graduateadmission@pace.edu

Departmental Contact

Miguel Mosteiro, PhD
Email: mmosteiro@pace.edu

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