Texas Tech University

How this program compares

Texas Tech University's MBA in AI & Data Science in Business lists about $30.4K total tuition — roughly 29% below the $42.9K AI master's average (45th percentile in our data). It runs on a full-time schedule (hybrid).

Admission Snapshot

Typical admitted student: 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.

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. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

At roughly $30.4K total, Texas Tech University's MBA in AI & Data Science in Business sits below the $42.9K average among AI master's programs we track — the 45th percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in higher than about 57% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Apply machine learning and AI techniques to solve complex business problems and drive data-informed decision-making.

Career Outcomes

Texas Tech University positions this mba track for Data Scientist careers — typical offers cluster around $120,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Data Science Manager
• 2. AI Strategy Consultant
• 3. Business Intelligence Director
• 4. Analytics Operations Manager

What You'll Learn

• Apply machine learning and AI techniques to solve complex business problems and drive data-informed decision-making
• Design and implement predictive analytics models for forecasting, optimization, and risk assessment across business functions
• Evaluate and manage AI implementation strategies, including ethical considerations and responsible AI governance
• Communicate data insights to stakeholders and translate analytical findings into actionable business strategies

Curriculum Highlights

Alongside the MBA core, students take specialized courses in AI strategies in business, big data strategy, market forecasting analytics, and decision theory.

Top Employers

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.

Admissions

Admission to Texas Tech University's MBA in AI & Data Science in Business generally expects a mba. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions