St. John's University

How this program compares

At an estimated $49.2K in total tuition, the Master of Applied and Computational Mathematics - AI & ML Track sits about 15% above the $42.9K average for AI master's programs in our database — placing it in the 68th percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree in mathematics, computer science, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with calculus, linear algebra, and programming prerequisites. Relevant work or research experience in AI/ML is preferred.

About This Program

This graduate program provides a rigorous mathematical foundation combined with advanced training in machine learning and computational techniques. Most students complete it in about 2 years.

Develop and optimize machine learning models using computational mathematics.

Budget planners should note $49.2K estimated total tuition (68th percentile among AI master's programs, above the $42.9K average). Applicants should weigh that premium against the program's outcomes and brand.

It is one of 56 AI-related programs we track in New York, of which about 43% offer an online option. On price, it comes in cheaper than about 52% of the New York programs in our data, where typical tuition runs near $59.9K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.

Career Outcomes

Graduates of St. John's University's Master of Applied and Computational Mathematics - AI & ML Track most often target Data Scientist roles, where reported compensation runs around $130,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Research Scientist
• 4. Computational Mathematician

What You'll Learn

• Develop and optimize machine learning models using computational mathematics.
• Apply numerical methods and linear algebra to AI algorithms.
• Analyze probabilistic models for predictive analytics and inference.
• Implement scalable AI solutions for real-world data problems.

Curriculum Highlights

The curriculum features coursework in applied statistics, numerical analysis, data mining, and a specialized track in machine learning applications.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and research institutions such as national labs and AI firms.

Admissions

Admission to St. John's University's Master of Applied and Computational Mathematics - AI & ML Track generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions