NY

Master's in DS/DA
On-Campus

Fordham University

MS in Business Analytics – AI & Deep Learning Track

  • Bronx
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.

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What You'll Learn

Graduates become proficient in data modeling, statistical analysis, and programming, mastering the cutting-edge models and tools required to drive value and competitive advantage in various industries.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
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.
Typical Course Topics
1. Data Management and SQL 2. Machine Learning for Business 3. Natural Language Processing and Applications 4. Data Visualization 5. Deep Learning 6. Advanced Python with AI
Program Specializations:
Generative AI and LLMs
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Thrive as Data Scientist in Business AI with machine learning expertise

Estimated Industry Salary
Data Scientist/ML Engineer: $120,000 Business Analytics Manager: $115,000 AI Solutions Architect: $130,000 Analytics Consultant: $105,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. Business Intelligence Analyst 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
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
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 66,030
Format
On-Campus
Specializations
Generative AI and LLMs
Machine Learning
Official Resources
Program Website
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