Undergraduate Courses

Foundation courses in AI, machine learning, and data science for undergraduate students across multiple disciplines.
Prepare for the future with comprehensive AI education programs designed to meet the growing demand for artificial intelligence expertise across industries.
Discover flexible learning paths in Artificial Intelligence—from foundational courses to advanced degrees and professional programs. Chart your journey based on your goals, background, and career interests.
Foundation courses in AI, machine learning, and data science for undergraduate students across multiple disciplines.
Advanced degree programs including MS in Applied AI, Statistics and Data Science, and specialized concentrations.
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Professional certificates and micro-credentials for working professionals and continuing education students.
Get CertifiedExecutive education, workshops, and training programs for industry professionals and organizations.
Learn MoreBuild a strong foundation in Artificial Intelligence through undergraduate courses that combine theory, hands-on learning, and real-world applications. Designed for future innovators, these courses prepare students to lead in a data-driven world.
Introduction to data science fundamentals, statistical analysis, and basic machine learning techniques.
Security principles with AI applications in threat detection and cybersecurity analytics.
Advanced data science techniques, big data processing, and machine learning applications.
Core AI concepts including search algorithms, knowledge representation, and intelligent agents.
Application of AI and machine learning techniques to cybersecurity and threat analysis.
Introduction to computational linguistics and natural language processing techniques.
Statistical foundations essential for data science and machine learning applications.
Advanced statistical inference techniques used in AI and machine learning.
Comprehensive introduction to data science methodologies and machine learning algorithms.
Advanced statistical learning techniques and their applications in data science.
This course introduces students to business computer applications, with research on using AI to screen research papers that use specific methodologies.
This course discusses AI applications in finance, particularly how AI helps explain asset prices and supports investment decisions.
Focuses on the implementation of predictive sales analytics using AI, supported by recent research in marketing analytics.
Highlights the use of AI for automated inference of product attributes from user-generated content, based on recent research.
Examines the adoption of predictive sales analytics and the impact of AI on sales, as discussed in recent AMS Review publications.
Students learn about AI tools for investor support and the use of AI to analyze user-generated content, as highlighted in recent research publications.
This course covers AI-driven sales pipeline technology and predictive sales analytics, as featured in recent marketing research publications.
Introduces the human side of digital transformation in sales, with a focus on AI's role, as reviewed in recent academic publications.
Examines the convergence of AI and sales in supply chain strategy, with insights from a special issue in the Journal of Business Research.
Focuses on the role of digital technologies and AI in value-creating sales, as featured in the European Journal of Marketing.
Discusses the human side of digital transformation in sales, with a focus on AI, as highlighted in a special issue of the Journal of Personal Selling and Sales Management.
Exploration of AI's impact on creative arts and artistic expression in the digital age.
Applications of AI in journalism, digital media, and communication technologies.
This class explores the nature of current tools like ChatGPT or Google’s Gemini and illustrates how conversation designers' work can be observed in how conversational AI talks to us.
Advance your expertise in Artificial Intelligence with graduate programs that blend cutting-edge research, interdisciplinary learning, and industry collaboration. Designed for tomorrow’s leaders in tech and research.
Computer Science Department (Under Review)
Comprehensive graduate program designed to prepare students for careers in AI development, research, and application across various industries.
Mathematics Department
Advanced degree program combining statistical theory with practical data science applications and machine learning techniques.
Gain targeted AI skills through flexible, short-term programs. Our certificates and micro-credentials are designed to upskill professionals and students with in-demand knowledge in machine learning, data science, and emerging AI technologies.
High Performance Computing & Data Science Institute. Comprehensive micro-credential program covering AI fundamentals, applications, and ethical considerations.
Computer Science Department (Under Review). Professional certificate program designed for working professionals seeking AI expertise.
Computer Science Department. Undergraduate minor program providing foundational data science and AI skills.
Learn how AI and robotics are transforming inspection through machine learning, deep learning, and photogrammetry. Taught by experts from industry and the University of Houston, this course blends fundamentals with hands-on practice to help you integrate smart inspection tools into your workflow. Ideal for professionals ready to boost efficiency and innovation in real-world energy applications.
Empower your career with AI-focused programs designed for industry professionals and executives. Learn to apply AI strategies, lead innovation, and drive digital transformation across sectors.
Bauer College of Business.
Executive education program combining business strategy with AI applications and leadership in the digital age. These courses will with AI strategy and implementation, digital transformation leadership, ethics and responsible AI, and industry case studies.
Law Center
Specialized training for legal professionals on AI applications, ethics, and regulatory considerations in law practice.
Various Departments.
Educational programs introducing AI concepts to K-12 students, including summer camps and outreach initiatives.
Explore unique AI learning experiences beyond the classroom. From research fellowships and internships to hackathons and community partnerships, these programs offer hands-on engagement and real-world impact.
Mathematics Department
Annual summer program focusing on AI and machine learning applications in energy transition and sustainability.
Organizer: Mikyoung Jun
Duration: Summers 2024 and 2025
Mathematics Department
Computational and Mathematical Methods in Machine Learning, Optimization and Inference summer school program.
Organizer: Andreas Mang
Year: 2025
University-wide
Faculty-led initiatives integrating AI into curriculum across various disciplines, including innovative teaching methods and AI literacy.
Find everything you need to apply to our AI programs. Explore admission requirements, application deadlines, and guidance for undergraduate, graduate, and professional pathways.
Apply to UH and declare your major in Computer Science, Mathematics, or related fields with AI focus.
Apply to graduate programs in Computer Science, Mathematics, or interdisciplinary AI programs.
Enroll in certificate programs, executive education, and professional development courses.
Join thousands of students who are preparing for careers in artificial intelligence and data science at the University of Houston.
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