CertificateOn-CampusPart-Time

Texas Tech University

Artificial Intelligence Graduate Certificate

Lubbock, Texas1 years$5K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $5.4K in total tuition, the Artificial Intelligence Graduate Certificate sits roughly 53% below the $11.4K average for AI certificate programs in our database β€” placing it in the 21st percentile on cost among the 236 we track at this level.

Est. Salary$120,000
Job Growth+23%
Top RoleMachine Learning Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$5K total
Format
On-Campus
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, Deep Learning

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with relevant programming experience or coursework in data structures and algorithms.

About This Program

A 12-credit graduate credential designed for working professionals to gain essential skills in modern artificial intelligence and machine learning without enrolling in a full degree. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 1 year.

Estimated total tuition is $5.4K, below the $11.4K average for AI certificate programs in our database and in the 21st percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Build machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Build machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

  • 1. AI Engineer
  • 2. Machine Learning Specialist
  • 3. Data Scientist
  • 4. AI Research Analyst

What You'll Learn

  • Core principles of artificial intelligence and search algorithms
  • Supervised and unsupervised machine learning techniques
  • Implementation of neural networks and deep learning models
  • Processing and analysis of natural language and visual data

Curriculum Highlights

The curriculum consists of four courses covering core AI principles, machine learning algorithms, deep learning, and specialized topics like deep reinforcement learning or robotics.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and IBM, as well as research institutions and defense contractors.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with relevant programming experience or coursework in data structures and algorithms.

Application Materials

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

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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