University of Houston

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

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.

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+)