Fordham University

How this program compares

Budget-wise, $66.0K puts this master's program at the 81st percentile on cost — about 54% above the $42.9K average across 394 comparable listings. It runs on a flexible schedule (on-campus).

Admission Snapshot

Typical admitted student: Applicants typically need a bachelor's degree from an accredited institution and a competitive undergraduate GPA (3.0 or higher preferred). While the GRE is optional at Fordham, relevant coursework in mathematics, statistics, or computer science strengthens applications.[1][2

About This Program

This master’s program teaches students to derive valuable conclusions from diverse data types, focusing on the strategic application of AI and deep learning to solve business problems. Coursework concentrates on Generative AI and LLMs and Machine Learning. Most students complete it in about 1 year.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $105,000.

Design and implement machine learning models and deep learning architectures for business applications.

Estimated total tuition is $66.0K, above the $42.9K average for AI master's programs in our database and in the 81st percentile on cost at this level. 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 higher than about 63% of the New York programs in our data, where typical tuition runs near $59.9K.

Career Outcomes

Fordham University positions this master track for Data Scientist careers — typical offers cluster around $105,000. Its focus on Generative AI and LLMs and Machine Learning maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% 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. Business Intelligence Analyst
• 4. AI Solutions Architect

What You'll Learn

• Design and implement machine learning models and deep learning architectures for business applications
• Extract actionable insights from large datasets using advanced statistical analysis and predictive modeling
• Apply natural language processing and generative AI techniques to solve real-world business problems
• Communicate complex analytical findings to stakeholders through data visualization and business intelligence tools

Curriculum Highlights

The 30-credit program includes core courses in data engineering and DevOps, with a specific track in AI and deep learning covering machine learning and advanced business analytics methodologies.

Top Employers

Top employers for business analytics and AI professionals include Google, Microsoft, Amazon, IBM, McKinsey & Company, and major financial institutions like JPMorgan Chase and Goldman Sachs.[2

Admissions

Admission to Fordham University's MS in Business Analytics – AI & Deep Learning 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
• Official Transcripts: Required

Frequently Asked Questions