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
  • 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
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The M.S. in Business Analytics with an AI & Deep Learning Track is a 30-credit graduate program completed in one year of full-time study or two years of part-time study, combining data management, machine learning, and artificial intelligence methodologies to prepare students for advanced analytics roles.[1
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.

Check Application Deadlines
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%
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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