TX

MBA in AI
Hybrid

Texas Tech University

Professional MBA in AI and Data Science in Business

  • Lubbock
About This Program

This professional-track concentration provides the technical and analytical tools necessary for managers to lead AI initiatives and make data-driven decisions in competitive industries.

Student Reviews
What You'll Learn

Participants learn to manipulate complex data, translate findings into actionable organizational strategies, and master the use of advanced analytics for business optimization.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The program integrates foundational business leadership blocks with specialized coursework in machine learning, multivariate analysis, and business intelligence strategy.
Typical Course Topics
1. Machine Learning for Business Applications 2. Predictive Analytics and Data Mining 3. Generative AI and Business Strategy 4. Business Intelligence and Data Visualization 5. Deep Learning and Neural Networks 6. Data-Driven Decision Making and Analytics
Program Specializations:
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 professional work experience (often 3+ years). A minimum undergraduate GPA of 3.0 is standard for MBA programs, and GMAT scores may be required or waived depending on work experience and academic background.
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree
β€’ GMAT: Required or Optional (based on work experience)
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ Transcripts: 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.

Career Opportunities in AI

Excel as Data Scientist in Business AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Data Science/AI Professional: $130,000 Business Analytics Manager: $125,000 Machine Learning Engineer: $135,000 AI Strategy Consultant: $128,000
Total compensation (entry to mid-level)
AI Job Growth
35.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. AI Strategy Manager 3. Business Analytics Director 4. Machine Learning Engineer
Top AI Employers (Industry-Wide):
Top employers for MBA graduates in AI and Data Science include technology firms like Google, Microsoft, and Amazon; financial services companies like JPMorgan Chase and Goldman Sachs; and management consulting firms like McKinsey and Deloitte.
Program Details
Duration
  • 1.75 Year
Tuition
  • 54,500
Format
Hybrid
Specializations