Fordham University
MS in Business Analytics – AI & Deep Learning Track
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
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.
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+)
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