St. John’s University offers a Master of Science in Artificial Intelligence and Data Science through The Lesley H. and William L. Collins College of Professional Studies.
The 30-credit program is taught on the Queens campus in New York City, with evening classes available. AI and Machine Learning Foundations, Deep Learning Models, Generative AI and Large-Language Models, and Cloud Computing and MLOps are all required courses, and students finish with a capstone project or a thesis.
Last reviewed: October 2026
Quick Facts
| Degree | MS in Artificial Intelligence and Data Science |
| School | The Lesley H. and William L. Collins College of Professional Studies |
| Location | Queens, New York, New York |
| Format | On campus, with evening classes available |
| Credits | 30 |
| Culminating Experience | Capstone project or thesis |
| GRE | Not required |
| Entry Terms | Fall and spring |
| Tuition | $1,705 per credit for 2026–27 |
| Typical Length | As little as 18 months |
Official MS in Artificial Intelligence and Data Science page
Curriculum
St. John’s lists this curriculum as effective fall 2026. The degree is separate from the university’s MS in Computer Science, which has a computer science core and offers machine learning only as an elective.
Students complete 30 graduate credits consisting of:
- 15 credits of core courses
- 6 credits of analytical foundation electives
- 6 credits of technical applied electives
- 3 credits of capstone or thesis
Core Courses
- CUS 720 – Software Design and Architecture for AI Systems
- CUS 730 – Cloud Computing and MLOps
- CUS 740 – Generative AI and Large-Language Models
- CUS 752 – AI and Machine Learning Foundations
- CUS 756 – Deep Learning Models in Machine Learning and Generative AI
All five core courses are required, so every student takes machine learning, deep learning, and generative AI.
Analytical Foundation Electives
Students select 6 credits from:
- BUA 602 – Business Analytics
- BUA 609 – Advanced Managerial Statistics
- BUA 610 – Data Visualization Applications
- BUA 633 – Predictive Analytics and Business Forecasting Models
Technical Applied Electives
Students select 6 credits from:
- CUS 510 – Database Management Systems
- CUS 620 – Intro Programming for Analytics
- CUS 625 – Data Visualization Programming
- CUS 680 – Big-Data Analytics
- CUS 716 – Algorithms and Theory for Intelligent Systems
- CUS 725 – Databases for AI and Data Engineering
- CUS 754 – Computer Vision and Applications
- CUS 758 – Responsible AI and GenAI Security
- CUS 795 – Thesis I
- CUS 900 – Internship
- a cyber security (CYB) elective
Computer vision is an elective rather than a core course. The program’s own course list does not include a natural language processing or data mining course.
Capstone or Thesis
Students finish with one of the following:
- CUS 790 – Master’s Capstone Project
- CUS 796 – Thesis II
Thesis II requires CUS 795 – Thesis I as a prerequisite, so thesis students use one of their technical elective slots for it.
Cost and Tuition
St. John’s is a private university and charges graduate tuition by the credit, with the same rate for New York residents and nonresidents.
For the 2026–27 academic year, the university lists these graduate charges for the College of Professional Studies:
| Charge | Amount |
|---|---|
| Tuition, per credit | $1,705 |
| University General Fee, per fall or spring semester | $170 |
| Technology Fee, per semester | $255 |
| Student Government Activity Fee, per semester | $75 |
At 30 credits, tuition comes to about $51,150 before fees and scholarships. The three semester fees add $500 for each fall or spring semester enrolled. The graduate application fee is $70.
The college’s graduate brochure says admitted master’s students are automatically considered for merit scholarships of $3,000 to $9,000. Rates are effective from summer 2026 through spring 2027 and can change each year.
View St. John’s University graduate tuition
Admission Requirements
Applicants need a bachelor’s degree from an accredited institution or the international equivalent. The program page does not require a specific undergraduate major.
Applicants are expected to have sufficient previous coursework in calculus and statistics or equivalent mathematics courses.
The program page does not state a minimum GPA. The college’s 2024–2026 graduate bulletin says master’s applicants are expected to show a 3.0 GPA.
Application Materials
Applicants submit:
- online graduate application and application fee
- statement of professional goals
- resume
- official transcripts from all undergraduate, graduate, and professional schools attended
- one letter of recommendation from a professional or academic reference
- proof of English proficiency when required
The GRE is not required. Applicants with credits earned outside the United States also need a course-by-course credential evaluation with a GPA calculation from a NACES member. English proficiency can be shown with TOEFL, IELTS, PTE, or Duolingo scores.
Application Deadlines
St. John’s does not publish a fixed application deadline for this program. Most of its graduate programs use rolling admission, and the university recommends these dates for programs without a set deadline:
| Entry Term | Recommended Date |
|---|---|
| Fall | April 1 |
| Spring | October 1 |
Completed applications are reviewed as space permits or until the semester begins. International applicants should confirm dates with the Office of Graduate Admission.
Program Format
The program is based on the Queens campus at 8000 Utopia Parkway. St. John’s advertises evening classes for working professionals.
The program page does not describe an online or hybrid option, so students should plan to attend in person.
Students can start in fall or spring and finish in as little as 18 months. The college requires master’s students to complete all requirements within five years and to maintain a B (3.0) average.
St. John’s states that the program is accredited by the Computing Accreditation Commission of ABET under its General Criteria.
Who Is This Program Best For?
St. John’s University’s MS in Artificial Intelligence and Data Science is a strong option for students who want a required AI and machine learning core with evening classes in New York City.
It may be especially appealing to students interested in:
- machine learning and deep learning
- generative AI and large language models
- cloud computing and MLOps
- business analytics and data visualization alongside AI
- a choice of capstone project or thesis
- admission without the GRE
Half the degree is a fixed core, six credits come from business analytics courses, and there are only two technical electives. The program’s own list has no natural language processing or data mining course, no online option is described, and tuition is at private university rates. Students who want more elective depth, online study, or public university pricing may want to compare other New York schools or the university’s MS in Computer Science.
Official St. John’s University Program Links
- MS in Artificial Intelligence and Data Science program page
- MS in Computer Science program page
- Graduate Bulletin
- Graduate admission deadlines
- Graduate tuition
- University fees
Related Machine Learning Programs in New York
Students can also compare St. John’s University with other master’s programs in machine learning, artificial intelligence, and related fields offered in New York.
- Binghamton University – Binghamton
- City College of New York – New York
- Clarkson University – Potsdam
- Columbia University – New York
- Cornell University – Ithaca
- Fordham University – New York
- Hofstra University – Hempstead
- Long Island University – Brooklyn
- Manhattanville University – Purchase
- Marist University – Poughkeepsie
- Mercy University – Dobbs Ferry
- New York University – New York
- Pace University – New York
- Rensselaer Polytechnic Institute – Troy
- Rochester Institute of Technology – Rochester
- Stony Brook University – Stony Brook
- SUNY Buffalo State University – Buffalo
- SUNY New Paltz – New Paltz
- SUNY Oswego – Syracuse
- SUNY Polytechnic Institute – Utica
- Syracuse University – Syracuse
- University at Albany – Albany
- University at Buffalo – Buffalo
- University of Rochester – Rochester
- Utica University – Utica
- Yeshiva University – New York