TX

MBA in AI
Hybrid

Texas Tech University

MBA in AI & Data Science in Business

  • Lubbock
About This Program

A professional MBA concentration that equips business leaders with the advanced skill set required to extract meaningful insights from large datasets and implement AI strategies.

Student Reviews
What You'll Learn

Students gain a deep understanding of critical business issues, developing strategic decision-making skills through the application of machine learning and business intelligence.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
Alongside the MBA core, students take specialized courses in AI strategies in business, big data strategy, market forecasting analytics, and decision theory.
Typical Course Topics
1. Machine Learning for Business Applications 2. Predictive Analytics and Data Modeling 3. Generative AI and Business Strategy 4. Business Intelligence and Data Visualization 5. Statistical Analysis for Decision-Making 6. AI Ethics and Responsible Data Governance
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree from an accredited institution and typically need a minimum GPA of 3.0. While work experience is often preferred, some programs accept recent graduates; GMAT or GRE scores may be required or optional depending on academic background.
Academic Requirements (Typical)

β€’ Degree Required: MBA
β€’ GMAT/GRE: Optional or required (varies by program track)
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€’ 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

Position 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: $125,000 Business Analytics Manager: $115,000 AI Strategy Consultant: $130,000 Data Engineering Manager: $120,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Science Manager 2. AI Strategy Consultant 3. Business Intelligence Director 4. Analytics Operations Manager
Top AI Employers (Industry-Wide):
Top employers for AI and data science professionals include technology companies like Google, Microsoft, and Amazon; financial services firms such as JPMorgan Chase and Goldman Sachs; and management consulting firms like McKinsey and Deloitte.
Program Details
Duration
  • 2 Year
Tuition
  • 30,366
Format
Hybrid
Specializations
Machine Learning