CertificateOn-CampusPart-Time

University of Houston

AI and Data Science Graduate Certificate

Houston, Texas1 years$7K 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 $6.7K in total tuition, the AI and Data Science Graduate Certificate sits roughly 41% below the $11.4K average for AI certificate programs in our database β€” placing it in the 29th percentile on cost among the 236 we track at this level.

Est. Salary$120,000 AI Engineer
Job Growth+36%
Top RoleAI Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$7K total
Format
On-Campus
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, Deep Learning

Typical admitted student: A bachelor's degree in a related field such as computer science, mathematics, or engineering with a minimum GPA of 3.0 is required; relevant programming or data experience is often preferred.

About This Program

This five-course certificate combines foundational data science knowledge from computer science and mathematics with specialized engineering applications. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 1 year.

Estimated total tuition is $6.7K, below the $11.4K average for AI certificate programs in our database and in the 29th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Build natural language processing skills to advance as AI Engineer in Engineering AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $125,000.

Career Outcomes

Build natural language processing skills to advance as AI Engineer in Engineering AI

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

What You'll Learn

  • Develop and deploy machine learning models for predictive analytics.
  • Apply AI techniques to process and analyze large datasets.
  • Design data pipelines for efficient data ingestion and transformation.
  • Evaluate AI systems for bias, fairness, and ethical implications.

Curriculum Highlights

The curriculum includes foundational courses in probability, statistics, and machine learning, alongside electives in data mining or natural language processing.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as Deloitte and Accenture.

Admissions

A bachelor's degree in a related field such as computer science, mathematics, or engineering with a minimum GPA of 3.0 is required; relevant programming or data experience is often preferred.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2
  • 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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