TX

Certificates in AI
On-Campus

University of Houston

AI and Data Science Graduate Certificate

  • Houston
About This Program

This five-course certificate combines foundational data science knowledge from computer science and mathematics with specialized engineering applications.

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What You'll Learn

Participants learn to apply predictive modeling and data-driven design to engineering systems, enhancing their ability to analyze complex technical data.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes foundational courses in probability, statistics, and machine learning, alongside electives in data mining or natural language processing.
Typical Course Topics
1. Machine Learning Fundamentals 2. Artificial Intelligence Applications 3. Big Data Analytics 4. Deep Learning and Neural Networks 5. Data Mining and Visualization 6. AI Ethics and Responsible AI
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• Transcripts: 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.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
Data Scientist: $120,000 AI Engineer: $125,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. AI Specialist 4. Data Analyst
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as Deloitte and Accenture.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 6,710
Format
On-Campus
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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