Fordham University

How this program compares

At an estimated $66.0K in total tuition, the MS in Business Analytics – AI & Deep Learning Track sits about 56% above the $42.4K average for AI master's programs in our database — placing it in the 82nd percentile on cost among the 531 we track at this level.

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.

Estimated total tuition is $66.0K, above the $42.4K average for AI master's programs in our database and in the 82nd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Thrive as Data Scientist in Business AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $105,000.

Career Outcomes

Thrive as Data Scientist in Business AI with machine learning expertise

• 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

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

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)