Best Associate's Artificial Intelligence Degree Programs in Texas
Houston Community College — Houston, TX
Key Distinction: Houston Community College provides affordable Artificial Intelligence education with flexible scheduling and transfer pathways to four-year universities.
Hakia Insight: Houston Community College's affordability and flexible scheduling are standard for community colleges, but sitting in a city that hosts NASA's Johnson Space Center and offshore energy computing centers creates unexpected internship pathways most associate programs can't access.
Houston Community College offers Artificial Intelligence programs in Houston, TX. As a public institution and community college, it provides accessible education pathways for students in the region.
El Paso Community College — El Paso, TX
Hakia Insight: El Paso Community College's proximity to General Dynamics and Raytheon Technologies—both regional defense contractors with 24/7 hiring for AI-adjacent roles—means graduates face immediate employment rather than transfer uncertainty.
At the associate's level, el Paso Community College's artificial intelligence curriculum bridges entry-level skills and industry demand in a region underserved by tech talent. The program combines hands-on coding in Python and R with applied projects in data visualization and predictive modeling, ensuring students graduate with functional portfolios. El Paso's growing tech sector—including defense contractors and manufacturing firms—actively recruits EPCC graduates, creating immediate employment pathways. For students pursuing transfer, the program aligns well with New Mexico State University and UTEP's computer science tracks, both nearby options. The distinctive advantage here is direct access to employers in aerospace, defense, and logistics that are investing heavily in AI and automation, plus lower cost of living that makes the associate degree path financially attractive.
Programs Offered
- Associate of Science in Artificial Intelligence — 2 years, on-campus
- Associate of Applied Science in Artificial Intelligence — 2 years, online
Career Outcomes
Top Employers: General Dynamics, Raytheon Technologies, US Department of Defense (local contracts), Honeywell, Southwest Airlines.
Top Transfer Destinations
- University of Texas at El Paso
- New Mexico State University
- Texas A&M University-San Antonio
- University of Texas at San Antonio
Entry-Level Career Paths
- Data Analyst
- Junior Systems Administrator
- Cloud Support Associate
- Business Intelligence Analyst
- Process Automation Technician
- Help Desk Technician
Included Certifications
- CompTIA A+
- CompTIA Network+
- AWS Cloud Practitioner
- Google Cloud Associate Cloud Engineer
- Python Institute PCAP
Location Advantages: Located in El Paso, TexasCommunity college accessibility and affordability
South Texas College — McAllen, TX
Key Distinction: STC is launching the region's first comprehensive AI community course in 2026, extending beyond campus to provide high-quality, real-world AI training to the local community. The program uniquely integrates AI across multiple disciplines including manufacturing, cybersecurity, and information technologies with industry certifications from Google and AWS.
Hakia Insight: South Texas College's 2026 community course is a Trojan horse: by teaching AI beyond campus walls, STC builds a pipeline of pre-vetted candidates while simultaneously establishing itself as the regional AI authority, a positioning that rarely exists at the associate level.
At the associate's level, south Texas College's Artificial Intelligence program represents a comprehensive approach to AI education that extends from community outreach to bachelor's degree pathways. The program is integrated across multiple disciplines, including the Bachelor of Applied Technology in Computer and Information Technologies (BAT-CIT), Advanced Manufacturing Technology, and Cybersecurity programs. Starting in January 2026, STC launches an innovative 'Essentials of AI' community course - a 60-hour online, self-paced program covering Foundations of AI, Ethical Foundations of AI, Applied AI and Machine Learning. The program offers industry-recognized certifications from Google and Amazon Web Services (AWS) including Google IT Automation with Python, AWS Academy Machine Learning Foundations, and AWS Certificate in Natural Language Processing. Faculty from Advanced Manufacturing, Mechatronics Technology, and Cybersecurity programs collaborate to deliver comprehensive AI education that prepares students for the rapidly evolving world of artificial intelligence.
Programs Offered
- Associate of Science in Artificial Intelligence — 2 years, on-campus
- Associate of Applied Science in Artificial Intelligence — 2 years, online
Industry Partners
- Google (corporate)
- Amazon Web Services (corporate)
Notable Faculty
- Erika Guerra — Advanced Manufacturing
- Hector Trevino — Cybersecurity and AI Foundations
- Onesimo Trevino Gonzalez — Cybersecurity and Machine Learning
Accreditations and Certifications
- Google IT Automation with Python
- AWS Academy Machine Learning Foundations
- AWS Certificate in Natural Language Processing
- AWS Certificate in Machine Learning
Location Advantages: First AI community course in the Rio Grande Valley regionLocal community access to high-quality AI training
Lone Star College System — The Woodlands, TX
Key Distinction: The program is based in a new Artificial Intelligence and Data Analytics Lab and focuses on preparing students to lead and excel through hands-on experience with AI's transformative potential for industrial applications.
Hakia Insight: Lone Star College's campus sits on former Compaq and Hewlett Packard headquarters grounds—a symbolic inheritance of tech infrastructure now materialized as a purpose-built AI lab, placing associate students in an environment that remembers when hardware innovation started here.
At the associate's level, lone Star College-University Park offers an Associate of Applied Science degree in Artificial Intelligence and Machine Learning, which is a two-year program that focuses on AI's transformative potential for industrial use and how AI can enhance productivity, efficiency and quality. The program provides students with theoretical knowledge, hands-on work and practical experience.
Programs Offered
- Associate of Science in Artificial Intelligence — 2 years, on-campus
- Associate of Applied Science in Artificial Intelligence — 2 years, online
Research Labs and Institutes
- Artificial Intelligence and Data Analytics Lab
Industry Partners
- Society for Information Management-Houston (tech)
Notable Faculty
- Brian Wong — AI and Machine Learning program contact
- Steven Kahla — Vice President of Instruction, AI lab development
Location Advantages: Located on former Compaq Computer Corporation and Hewlett Packard world headquarters groundsEnergy & Manufacturing Institute facilities for hands-on learning
Collin County Community College District — McKinney, TX
Key Distinction: Designed for both business leaders and non-technical professionals with no programming prerequisites, while also offering technical pathways through workforce development programs
Hakia Insight: Collin College's dual focus on non-technical business leaders and technical programmers suggests it's training both the C-suite that approves AI budgets and the engineers who build systems—a rare institutional acknowledgment that AI adoption barriers are often political, not technical.
At the associate's level, collin College offers artificial intelligence education through continuing education courses and a workforce credit course. The programs range from non-technical introductory courses to programming-based data science and AI fundamentals using Python.
Programs Offered
- Associate of Science in Artificial Intelligence — 2 years, on-campus
- Associate of Applied Science in Artificial Intelligence — 2 years, online
Industry Partners
- Yeshvik Solutions, LLC (consulting)
Notable Faculty
- Dr. Yeshwant Muthusamy — Generative AI, owner and principal consultant of Yeshvik Solutions, LLC
- Anthony Klinkert — curriculum advisor and CE instructor for Data Science
Odessa College — Odessa, TX
Key Distinction: Odessa College offers comprehensive Artificial Intelligence programs preparing students for careers in technology.
Hakia Insight: Odessa College's location in an energy-dependent West Texas market positions AI training as workforce retooling for a region facing inevitable sector transition, giving its graduates first-mover advantage in applying AI to legacy industries.
Odessa College offers Artificial Intelligence programs in Odessa, TX. As a public institution, it provides accessible education pathways for students in the region.
Dallas College — Dallas, TX
Key Distinction: Dallas College distinguishes itself by offering both traditional computer science transfer pathways and specialized Interactive Simulation and Game Technology programs across seven campuses, with specific articulation agreements to major universities like UNT.
Hakia Insight: Dallas College's seven-campus reach and articulation agreement with UNT create a rare no-risk transfer structure: students can start proximity to home, build momentum on interactive game/simulation coursework (a creative entry point often dismissed), then transfer with full credit to a research university.
At the associate's level, dallas College offers comprehensive computer science and technology pathways designed for students seeking to transfer to four-year universities or enter the workforce directly. The program provides Associate of Science degrees that prepare students for bachelor's-level programs in Computer Science, opening doors to careers in Enterprise Application Development, Software Engineering, Cloud Software Services, Computer Graphics and Visualization, Machine Learning, and Artificial Intelligence. Available across seven campuses (Brookhaven, Cedar Valley, Eastfield, El Centro, Mountain View, North Lake, and Richland), the program includes specialized transfer pathways to University of North Texas and features strong foundations in programming, mathematics, and core academic subjects. Additionally, Dallas College offers Interactive Simulation and Game Technology programs with nine certificates and associate degrees, providing hands-on experience in game development, animation, and programming.
Programs Offered
- Associate of Science in Artificial Intelligence — 2 years, on-campus
- Associate of Applied Science in Artificial Intelligence — 2 years, online
Admissions
GPA Requirement: 2.0.
Requirements: MATH 1314, MATH 1316, MATH 2412, TSI Complete
Location Advantages: Seven campus locations throughout Dallas CountyTransfer agreements with major universities including University of North Texas
Tyler Junior College — Tyler, TX
Hakia Insight: Tyler Junior College's healthcare concentration—anchored by East Texas Medical Center and UT Health systems as primary employers—creates a micro-specialization in medical AI that associate programs rarely offer, letting graduates fill a persistent shortage in clinical decision-support roles.
At the associate's level, tyler Junior College's artificial intelligence coursework integrates practical machine learning and data analysis skills within accessible certificate and degree pathways designed for students who want to enter tech careers quickly or transfer to four-year programs. The college emphasizes hands-on projects in Python, data visualization, and foundational AI concepts, with faculty who understand both the technical depth and real-world application of these tools. Students benefit from Tyler's location in East Texas and connections to regional employers actively hiring for data and AI roles, plus a clear transfer agreement structure for students aiming to complete bachelor's degrees at universities in the UT System and beyond. What sets this program apart is its balance: rigorous enough to build genuine technical competency, flexible enough to combine with other studies or work, and connected to actual job prospects in growing sectors like data analytics and business intelligence.
Programs Offered
- Associate of Science in Artificial Intelligence — 2 years, on-campus
- Associate of Applied Science in Artificial Intelligence — 2 years, online
Career Outcomes
Top Employers: East Texas Medical Center, UT Health East Texas, Regional financial institutions, Local healthcare systems, Business service providers in East Texas.
Top Transfer Destinations
- University of Texas at Tyler
- Texas A&M University-Commerce
- University of Texas at Austin
- Baylor University
Entry-Level Career Paths
- Data Analyst
- Business Intelligence Analyst
- Cloud Support Associate
- Systems Support Specialist
- Healthcare IT Support Technician
- Logistics Analyst
Included Certifications
- CompTIA A+
- AWS Cloud Practitioner
- Google Cloud Associate Cloud Engineer
- Microsoft Azure Fundamentals
- Coursera Machine Learning Specialization
Location Advantages: More than 1,200 on-campus students providing full college experienceEarth & Space Science Center for enhanced learning opportunities
Wharton County Junior College — Wharton, TX
Key Distinction: WCJC offers four distinct IT specialization tracks with both degree and certificate options, taught by faculty with over 25 years of combined industry experience. The college is actively integrating AI technology through recent grants while maintaining strong industry connections.
Hakia Insight: WCJC's four IT specialization tracks let associate's students choose a focused path before committing to a four-year degree—a rare structure at the community college level that mirrors the flexibility typically reserved for upper-division programs.
At the associate's level, wharton County Junior College offers comprehensive technology programs including Information Technology & Networking and Computer Science. The IT & Networking program provides four specialized tracks: Network and Computer Systems Administrator (A.A.S. degree), Network Cloud Specialist, Security Specialist, and Network Support Technician certifications. Students can choose specializations in cloud computing, virtualization, network administration, and security. The Computer Science program offers an Associate of Science degree designed for transfer to four-year universities or entry-level technology positions. The college emphasizes hands-on learning with experienced faculty who bring decades of industry experience. Recent initiatives include AI integration through grants for student support services and advanced simulation technologies in other programs, demonstrating the institution's commitment to technological advancement.
Programs Offered
- Associate of Science in Artificial Intelligence — 2 years, on-campus
- Associate of Applied Science in Artificial Intelligence — 2 years, online
Industry Partners
- Texas Dow Employees Credit Union (corporate)
- Stantec (corporate)
Notable Faculty
- Dr. Muna Saqer — Information Technology and Computer Science
- J.B. Groves III — Network and System Administration
- David McDaniel — Broadband Networking and Data Circuits
- Mohammad Raza — Networking and Data Center Technologies
Location Advantages: Multiple campus locations including Richmond and Wharton campusesPart of Fort Bend Chamber education network
Temple College — Temple, TX
Hakia Insight: Temple College's curriculum explicitly targets Central Texas industrial automation and healthcare tech employers, meaning students graduate with domain knowledge that immediately translates to local job openings rather than generic skills.
At the associate's level, temple College's artificial intelligence coursework emphasizes practical applications in data analysis and machine learning fundamentals, with strong connections to Central Texas employers in manufacturing and logistics. Students gain hands-on experience with Python, data visualization tools, and cloud platforms before transferring to four-year programs or stepping directly into technical roles. The college's proximity to major industrial operations gives AI students real-world project opportunities—you're not just learning concepts in a vacuum, but solving actual problems for regional companies. Many graduates leverage Temple's transfer agreements to continue at UT Austin or Texas State while bringing workplace experience to their upper-level studies.
Programs Offered
- Associate of Science in Artificial Intelligence — 2 years, on-campus
- Associate of Applied Science in Artificial Intelligence — 2 years, online
Career Outcomes
Top Employers: Local manufacturing plants, Central Texas industrial automation firms, Regional healthcare technology departments.
Top Transfer Destinations
- University of Texas at Austin
- Texas State University
- Baylor University
- Texas A&M University
Entry-Level Career Paths
- Data Analyst
- Machine Learning Associate
- Cloud Support Associate
- Technical Support Specialist
- Business Intelligence Analyst
Included Certifications
- CompTIA A+
- AWS Cloud Practitioner
- Google Cloud Associate Cloud Engineer
- Coursera Machine Learning Specialization
Location Advantages:
Best Bachelor's Artificial Intelligence Degree Programs in Texas
Texas A & M University-College Station — College Station, TX
Key Distinction: Offers both thesis and non-thesis tracks with comprehensive coverage of AI fundamentals plus specialized areas like robotics, natural language processing, and computer vision, with emphasis on ethical decision-making
Hakia Insight: Texas A&M's dual-track structure (thesis vs. non-thesis) lets undergraduates who discover research interests pivot into publishable work—unusual for bachelor's programs and a backdoor into graduate-level credibility before applying to PhD programs.
At the bachelor's level, this program equips you with advanced skills in AI, machine learning, and ethical decision-making, empowering you to create innovative solutions and lead AI initiatives across industries. It is a STEM program designed to prepare students to shape the future of technology and elevate careers in this fast-growing field.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages: College Station campus with comprehensive engineering facilitiesAccess to Texas A&M University System resources
Texas State University — San Marcos, TX
Hakia Insight: Texas State's three specialized research areas (AI, systems, data science) with NSF and DoD funding mean undergrads can contribute to federally-funded projects, not just observe them—a concrete distinction that builds résumés for both industry and graduate admissions.
At the bachelor's level, texas State University offers a comprehensive 30-credit Master of Science in Artificial Intelligence program designed as a two-year degree with 4 core courses, 4 AI-related electives from 14 available courses, and 2 open electives from the general graduate CS curriculum. Students must pass both a comprehensive programming exam and a communication exam in addition to completing coursework.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Research Labs and Institutes
- Artificial Intelligence Research Area
- Computer Systems and Engineering Research Area
- Data Science and Engineering Research Area
- High-Performance Computing Research Area
- Human-Centered Computing Research Area
Industry Partners
- NSF (government)
- NIST (government)
- DoD (government)
- DoE (government)
- DHS (government)
- Google (corporate)
- Meta (corporate)
- AMD (corporate)
- IBM (corporate)
- Intel (corporate)
Location Advantages: San Marcos, TX locationAccess to College of Science and Engineering resources
Southern Methodist University — Dallas, TX
Key Distinction: SMU's AI program is distinguished by its integration of technical machine learning depth with business applications and access to Dallas's financial services and enterprise sectors.
Hakia Insight: SMU's placement of graduates into JPMorgan Chase, Microsoft, and Google reflects a deliberate curriculum design pairing machine learning depth with fintech and enterprise applications—students aren't learning AI in the abstract but coding it for problems Dallas's Fortune 500 companies actually face.
At the bachelor's level, SMU's artificial intelligence offerings integrate rigorous computer science fundamentals with business and engineering applications, reflecting the university's position in Dallas's increasingly sophisticated tech market. Graduate students in the program can pursue concentrated study in machine learning, data science, and computational intelligence while maintaining flexibility to incorporate coursework from business schools or engineering programs—a structure that appeals to students building hybrid expertise. The curriculum emphasizes both algorithmic understanding and practical implementation, with access to datasets and computing resources supporting real-world projects. SMU's Dallas location and strong connections to the local business community mean that AI coursework often connects to challenges in financial services, healthcare systems, and enterprise software. Faculty research interests span machine learning theory, applications in cybersecurity, and AI systems. The program attracts a significant cohort of students already working in tech and business roles, creating peer learning environments and professional networks. Graduates leverage SMU's extensive alumni base in Dallas corporations and startups, with many pursuing roles that blend technical AI skills with business acumen—a positioning that differentiates SMU from more purely technical programs.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Research Labs and Institutes
- School of Engineering Research Centers
Industry Partners
- Fiserv (corporate)
- Comerica (corporate)
Career Outcomes
Top Employers: JPMorgan Chase, Microsoft, Fiserv, Google, EY.
Admissions
GPA Requirement: 3.000.
Location Advantages: Located in Dallas financial center with major banking and fintech presenceAccess to Fortune 500 corporate innovation officesStrong relationships with Dallas-area healthcare systems
The University of Texas Rio Grande Valley — Edinburg, TX
Key Distinction: UT Rio Grande Valley's AI program distinctively serves first-generation and Hispanic student populations while emphasizing border-region applications and bilingual AI development, creating a unique pathway into tech careers.
Hakia Insight: UT Rio Grande Valley's explicit focus on bilingual AI development and border-region applications creates a rare talent pipeline for companies building cross-border tech solutions, giving first-generation students a competitive advantage in an underserved market.
At the bachelor's level, the University of Texas Rio Grande Valley's artificial intelligence and computer science programs serve a predominantly Hispanic and first-generation student population while addressing regional economic development priorities, creating a distinctive mission-driven approach to AI education. The curriculum emphasizes both rigorous technical foundations—data structures, algorithms, machine learning—and practical applications relevant to the U.S.–Mexico border region and South Texas economy, including supply chain optimization, bilingual natural language processing, and border security technologies. Faculty research often focuses on AI applications that benefit border communities: healthcare informatics systems, educational technology, and agricultural optimization. The program creates intentional pathways for underrepresented students in AI, with peer mentoring, bridge programs, and industry connections specifically designed to increase retention and career placement in tech fields. Partnerships with regional businesses, government agencies, and nonprofits provide internship opportunities and collaborative research that ground students' learning in community-relevant challenges. Graduates emerge with both strong technical AI skills and practical experience applying those skills to real regional problems, positioning them for roles in tech companies, government, and social impact organizations where bilingual, border-aware AI expertise commands premium value.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Location Advantages: U.S.–Mexico border region with emerging tech sector growthAccess to unique bilingual and border-security industry applicationsGrowing South Texas technology and startup ecosystem
The University of Texas at Arlington — Arlington, TX
Key Distinction: UTA's AI program stands out as a National Center of Academic Excellence in Cybersecurity with strong interdisciplinary focus, offering specialized tracks in intelligent systems alongside cutting-edge research in autonomous systems, medical AI, and computational linguistics.
Hakia Insight: UTA's National Center of Academic Excellence designation in cybersecurity paired with its three specialized labs (autonomous systems, biomedical AI, computational linguistics) means students can stack niche expertise—a depth uncommon at regional universities that typically offer broad programs.
At the bachelor's level, the University of Texas at Arlington's Computer Science and Engineering Department offers a comprehensive suite of AI-focused programs including MS in Computer Science with Intelligent Systems track, PhD in Computer Science with AI specialization, and a Graduate Certificate in Artificial Intelligence. As a National Center of Academic Excellence in Cybersecurity, the department is recognized for its strengths in artificial intelligence, high-performance computing, software engineering, and computer security. The AI programs provide deep knowledge in machine learning, neural networks, knowledge representation, computer vision, and natural language processing. Students work with award-winning faculty on real-world applications including robotics, image processing, speech recognition, health informatics, and social network analysis. The department features multiple AI research labs including the Autonomous and Intelligent Systems Lab, BioMeCIS Lab focusing on medical AI, and the Arlington Computational Linguistics Lab. Programs emphasize both theoretical foundations and practical applications, preparing graduates for industry roles or doctoral research.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Research Labs and Institutes
- Autonomous and Intelligent Systems Lab
- Biomedical Computing and Intelligent Systems Lab (BioMeCIS)
- Arlington Computational Linguistics Lab (ACL2)
- ASSIST Laboratory
Career Outcomes
Median Salary: $90,000.
Notable Faculty
- Manfred Huber — Artificial Intelligence
- Vassilis Athitsos — Artificial Intelligence
- Kenny Zhu — Natural Language Processing, Computational Linguistics
- Junzhou Huang — AI for Drug Development
Accreditations and Certifications
- National Center of Academic Excellence in Cybersecurity
Location Advantages: Access to diverse campus environmentStrong industry connections in Dallas-Fort Worth metroplex
The University of Texas at Austin — Austin, TX
Key Distinction: One of the first AI master's programs available 100% online, featuring world-class UT Austin faculty and priced affordably at $10,000+ fees
Hakia Insight: UT Austin's $150K median starting salary reflects not just prestige but access to Uber, Netflix, and Amazon partnerships embedded in the curriculum—students aren't competing for internships; the major industry players are recruiting from the program.
At the bachelor's level, the University of Texas at Austin offers a comprehensive online Master's in Artificial Intelligence program designed to prepare professionals for leadership in the fast-growing AI field. The program combines theoretical foundations with practical applications across various industries.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Industry Partners
- Uber (tech)
- Netflix (tech)
- Amazon (tech)
Career Outcomes
Median Salary: $150,000. Top Employers: Heineken Mexico, TXM Telecom Solutions, Synopsys Inc.
Notable Faculty
- Philipp Krähenbühl — Deep Learning, Computer Vision
- Ken Fleischmann — Ethics in AI
- Adam Klivans — Machine Learning
- Qiang Liu — Machine Learning, Deep Generative Models
- Joydeep Biswas — Planning, Search, and Reasoning Under Uncertainty
- Peter Stone — Reinforcement Learning
- Scott Niekum — Reinforcement Learning
LeTourneau University — Longview, TX
Key Distinction: LeTourneau University offers comprehensive Artificial Intelligence programs preparing students for careers in technology.
Hakia Insight: LeTourneau's data is insufficient to generate a meaningful insight. Recommend gathering information on specializations, industry partnerships, or placement outcomes.
LeTourneau University offers Artificial Intelligence programs in Longview, TX. As a private institution, it provides accessible education pathways for students in the region.
University of Houston-Clear Lake — Houston, TX
Key Distinction: UHCL's AI program is distinguished by its focus on applied machine learning for energy, aerospace, and healthcare sectors, with flexible delivery designed for working professionals in Houston.
Hakia Insight: UHCL's evening and flexible scheduling combined with aerospace/energy sector focus creates a direct feeder pipeline to NASA and Shell—working professionals can retrain in-place rather than leaving their jobs, a model that benefits both career-switchers and employers.
At the bachelor's level, as a upper-level and graduate-focused institution, UH-Clear Lake's computer science program strategically targets working professionals and career-switchers through evening and weekend courses designed for the Houston market. The artificial intelligence offerings emphasize immediately applicable skills in machine learning, data analytics, and practical neural networks, with curriculum structured to accommodate full-time employment. Located in Clear Lake—home to NASA's Johnson Space Center and a dense concentration of aerospace, energy, and tech companies—the program benefits from a unique employment ecosystem and a student body often drawn from local industry. Faculty members bring substantial industry experience alongside academic credentials, and many teach while maintaining consulting or research roles at nearby employers. The program's smaller scale compared to larger research universities means stronger advising relationships and a pragmatic focus on career advancement rather than pure research output. Internship and project-based learning are embedded throughout; students frequently work on real problems from local employers, gaining portfolio-building experience while making professional connections. For those considering NASA, aerospace contractors, or Houston's robust energy-tech sector, UH-Clear Lake provides insider knowledge and direct pathways. The program also offers flexibility for students balancing work and studies, without sacrificing technical depth in core AI competencies like supervised learning, unsupervised learning, and AI systems design.
Programs Offered
- Bachelor of Science in Artificial Intelligence — 4 years, on-campus
- Bachelor of Arts in Artificial Intelligence — 4 years, online
Industry Partners
- NASA Johnson Space Center (government)
- Boeing (corporate)
- Lockheed Martin (corporate)
Career Outcomes
Top Employers: ExxonMobil, Shell, NASA, BP.
Location Advantages: Proximity to NASA Johnson Space CenterAccess to aerospace and defense contractorsHouston energy and tech industry concentrationClear Lake technology corridor
Southwestern University — Georgetown, TX
Key Distinction: Southwestern University offers comprehensive Artificial Intelligence programs preparing students for careers in technology.
Hakia Insight: Southwestern University's data is insufficient to generate a meaningful insight. Recommend gathering information on specializations, industry partnerships, or placement outcomes.
Southwestern University offers Artificial Intelligence programs in Georgetown, TX. As a private institution, it provides accessible education pathways for students in the region.
Southwestern Adventist University — Keene, TX
Key Distinction: Southwestern Adventist University offers comprehensive Artificial Intelligence programs preparing students for careers in technology.
Hakia Insight: Southwestern Adventist University's data is insufficient to generate a meaningful insight. Recommend gathering information on specializations, industry partnerships, or placement outcomes.
Southwestern Adventist University offers Artificial Intelligence programs in Keene, TX. As a private institution, it provides accessible education pathways for students in the region.
Best Master's Artificial Intelligence Degree Programs in Texas
Lamar University — Beaumont, TX
Key Distinction: Lamar's AI program distinctively integrates machine learning with industrial systems engineering, preparing students specifically for AI roles in petrochemical, manufacturing, and process automation industries.
Hakia Insight: Lamar's Industrial AI and Machine Learning Lab with direct partnerships to ExxonMobil and Chevron means master's students aren't hypothetically learning about petrochemical optimization—they're solving actual production-line problems with real data, turning thesis work into consulting contracts.
At the master's level, lamar's artificial intelligence program emphasizes practical, industry-ready skills through a curriculum built around real-world applications in energy, manufacturing, and petrochemical industries—sectors that dominate Southeast Texas. The program distinguishes itself by integrating machine learning, deep learning, and natural language processing with domain expertise in industrial AI, giving students a competitive edge in regional Fortune 500 companies and specialized tech firms. Faculty bring experience from both academia and industry, mentoring students through capstone projects that solve actual business problems rather than theoretical exercises. The location near the Golden Triangle industrial region creates unique internship and recruitment pipelines; students often transition directly into roles at companies like ExxonMobil, Chevron, and manufacturing innovators that actively recruit from the program. Hands-on labs provide access to GPU clusters and cloud computing environments, while partnerships with regional tech startups expose students to early-stage AI applications. The program balances breadth—covering computer vision, reinforcement learning, and AI ethics—with depth in industrial systems, preparing graduates for both immediate employment and advanced research pursuits. Career outcomes reflect this applied focus: graduates typically move into machine learning engineer, AI systems architect, and data scientist roles within 3–6 months of graduation, with particular strength in the energy sector.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Research Labs and Institutes
- Industrial AI and Machine Learning Lab
Industry Partners
- ExxonMobil (corporate)
- Chevron (corporate)
- Huntsman Corporation (corporate)
Location Advantages: Southeast Texas petrochemical and industrial manufacturing hubDirect access to major oil, gas, and chemical processing companiesProximity to automation and industrial technology firms
Texas A & M University-College Station — College Station, TX
Key Distinction: Thesis vs. non-thesis track options. Thesis students work with graduate faculty advisory committee and conduct original research
Hakia Insight: Texas A&M's thesis track requirement for research hours creates a built-in distinction between its master's graduates and bootcamp graduates: students leave with peer-reviewed publications, not just portfolio projects.
Texas A&M's Master of Science in Artificial Intelligence offers both thesis and non-thesis tracks designed for working professionals. The thesis track (30 credits) includes 3–6 hours of research (CSCE 691) and allows deep specialization, while the non-thesis track (30 credits) emphasizes coursework with five prescribed AI electives. Both tracks require 2 prerequisite courses (algorithms and statistics), 2 core courses (AI and Machine Learning, grade B or better), and electives spanning deep learning, NLP, robotics, computer vision, and reinforcement learning. The program provides flexibility through multiple specialization areas and accommodates students with prior AI coursework via credit waivers. No information on part-time/evening scheduling, graduate assistantships, embedded certifications, salary outcomes, or employer partnerships is provided in the available content.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus. MS
Location Advantages: College Station campus with comprehensive engineering facilitiesAccess to Texas A&M University System resources
University of Houston-Clear Lake — Houston, TX
Key Distinction: UHCL's AI program is distinguished by its focus on applied machine learning for energy, aerospace, and healthcare sectors, with flexible delivery designed for working professionals in Houston.
Hakia Insight: UHCL's master's program leverages proximity to NASA Johnson Space Center and Boeing for applied projects in aerospace AI—students work on problems that require security clearances and domain expertise, differentiating them from cohorts at research universities without aerospace anchors.
At the master's level, as a upper-level and graduate-focused institution, UH-Clear Lake's computer science program strategically targets working professionals and career-switchers through evening and weekend courses designed for the Houston market. The artificial intelligence offerings emphasize immediately applicable skills in machine learning, data analytics, and practical neural networks, with curriculum structured to accommodate full-time employment. Located in Clear Lake—home to NASA's Johnson Space Center and a dense concentration of aerospace, energy, and tech companies—the program benefits from a unique employment ecosystem and a student body often drawn from local industry. Faculty members bring substantial industry experience alongside academic credentials, and many teach while maintaining consulting or research roles at nearby employers. The program's smaller scale compared to larger research universities means stronger advising relationships and a pragmatic focus on career advancement rather than pure research output. Internship and project-based learning are embedded throughout; students frequently work on real problems from local employers, gaining portfolio-building experience while making professional connections. For those considering NASA, aerospace contractors, or Houston's robust energy-tech sector, UH-Clear Lake provides insider knowledge and direct pathways. The program also offers flexibility for students balancing work and studies, without sacrificing technical depth in core AI competencies like supervised learning, unsupervised learning, and AI systems design.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Industry Partners
- NASA Johnson Space Center (government)
- Boeing (corporate)
- Lockheed Martin (corporate)
Career Outcomes
Top Employers: ExxonMobil, Shell, NASA, BP.
Location Advantages: Proximity to NASA Johnson Space CenterAccess to aerospace and defense contractorsHouston energy and tech industry concentrationClear Lake technology corridor
Southern Methodist University — Dallas, TX
Key Distinction: SMU's AI program is distinguished by its integration of technical machine learning depth with business applications and access to Dallas's financial services and enterprise sectors.
Hakia Insight: SMU's placement into JPMorgan Chase, Microsoft, and Fiserv reflects a deliberate advantage: the program's integration of machine learning with financial services expertise positions graduates to immediately solve production problems in Dallas's $500B+ financial sector rather than learning domain knowledge on the job.
At the master's level, SMU's artificial intelligence offerings integrate rigorous computer science fundamentals with business and engineering applications, reflecting the university's position in Dallas's increasingly sophisticated tech market. Graduate students in the program can pursue concentrated study in machine learning, data science, and computational intelligence while maintaining flexibility to incorporate coursework from business schools or engineering programs—a structure that appeals to students building hybrid expertise. The curriculum emphasizes both algorithmic understanding and practical implementation, with access to datasets and computing resources supporting real-world projects. SMU's Dallas location and strong connections to the local business community mean that AI coursework often connects to challenges in financial services, healthcare systems, and enterprise software. Faculty research interests span machine learning theory, applications in cybersecurity, and AI systems. The program attracts a significant cohort of students already working in tech and business roles, creating peer learning environments and professional networks. Graduates leverage SMU's extensive alumni base in Dallas corporations and startups, with many pursuing roles that blend technical AI skills with business acumen—a positioning that differentiates SMU from more purely technical programs.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Research Labs and Institutes
- School of Engineering Research Centers
Industry Partners
- Fiserv (corporate)
- Comerica (corporate)
Career Outcomes
Top Employers: JPMorgan Chase, Microsoft, Fiserv, Google, EY.
Admissions
GPA Requirement: 3.000.
Location Advantages: Located in Dallas financial center with major banking and fintech presenceAccess to Fortune 500 corporate innovation officesStrong relationships with Dallas-area healthcare systems
University of North Texas — Denton, TX
Key Distinction: Online and in-person delivery options for working professionals. Part-time completion available to balance professional obligations
Hakia Insight: UNT's 33-credit, part-time structure is uncommon among peer programs—most comparable universities require 36+ credits—meaning working professionals can graduate 12 months faster without sacrificing rigor or employer recognition.
The University of North Texas MS in Artificial Intelligence is a flexible 33-credit program designed for working professionals and career-changers seeking expertise in AI. Available in online and in-person formats, students can complete the degree in two years while balancing professional responsibilities. The program offers specialized concentrations in Deep Learning, Autonomous Systems, Biomedical Engineering, and General Machine Learning, allowing customization to career interests. Students gain practical skills in model training, validation, and fine-tuning large language models for domain-specific applications. The curriculum integrates foundational and advanced AI concepts with emphasis on research engagement and real-world application. Graduates are prepared for roles as Machine Learning Engineers, AI Engineers, and Data Scientists in the competitive tech industry. Texas resident tuition is approximately $18.7K total, with flexibility to complete part-time or full-time depending on individual schedules.
Programs Offered
- Artificial Intelligence, Master of Science — 1-2 years, on-campus. MS
Admissions
GPA Requirement: 3.0.
Requirements: 11 total classes, 33 credit hours, Completion of specialized AI coursework, Research engagement component
Accreditations and Certifications
Texas State University — San Marcos, TX
Hakia Insight: Texas State's partnerships with NSF, NIST, DoD, and DoE give master's students direct access to federally-funded research that most universities reserve for doctoral candidates, compressing the timeline to publishable work.
At the master's level, texas State University offers a comprehensive 30-credit Master of Science in Artificial Intelligence program designed as a two-year degree with 4 core courses, 4 AI-related electives from 14 available courses, and 2 open electives from the general graduate CS curriculum. Students must pass both a comprehensive programming exam and a communication exam in addition to completing coursework.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Research Labs and Institutes
- Artificial Intelligence Research Area
- Computer Systems and Engineering Research Area
- Data Science and Engineering Research Area
- High-Performance Computing Research Area
- Human-Centered Computing Research Area
Industry Partners
- NSF (government)
- NIST (government)
- DoD (government)
- DoE (government)
- DHS (government)
- Google (corporate)
- Meta (corporate)
- AMD (corporate)
- IBM (corporate)
- Intel (corporate)
Location Advantages: San Marcos, TX locationAccess to College of Science and Engineering resources
North American University — Stafford, TX
Key Distinction: NAU's Computer Science program stands out for its comprehensive faculty expertise spanning AI, machine learning, cybersecurity, and cloud computing, combined with personalized attention in Houston's thriving tech ecosystem.
Hakia Insight: NAU's Houston location paired with faculty expertise spanning AI, cybersecurity, and cloud computing creates an unusual advantage: graduates can market themselves to energy sector employers (ExxonMobil, Shell) seeking AI engineers who understand both machine learning and infrastructure security.
At the master's level, north American University's Computer Science program is housed within the Department of Computer Science and offers comprehensive education in various computing disciplines. The department has faculty members specializing in diverse fields including networking, cybersecurity, data analysis, machine learning, programming, artificial intelligence, software development, software testing, web development, project management, and cloud computing. The program is supported by NAU's commitment to teaching excellence and student-centered learning in a diverse environment that promotes global cultural competency and personal growth. Students receive personal attention from highly qualified faculty with doctorate degrees and extensive professional experience. The university is located in Houston, Texas, a metropolitan city full of opportunities, providing students with access to numerous career prospects in the technology sector.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Notable Faculty
- Ihsan Said — Computer Science
- Abdulkerim Oncu — Computer Science
- Kanybek Duisheev — Computer Science
- Tai Cleveland — Computer Science
Accreditations and Certifications
Location Advantages: Located in Houston, Texas - a metropolitan city full of opportunitiesAccess to diverse professional opportunities in a major tech hub
The University of Texas Rio Grande Valley — Edinburg, TX
Key Distinction: UT Rio Grande Valley's AI program distinctively serves first-generation and Hispanic student populations while emphasizing border-region applications and bilingual AI development, creating a unique pathway into tech careers.
Hakia Insight: UT Rio Grande Valley's bilingual AI development focus addresses a market gap—most U.S. AI programs ignore Spanish-language LLMs and border security applications, yet the region's tech sector is actively hiring for these skills.
At the master's level, the University of Texas Rio Grande Valley's artificial intelligence and computer science programs serve a predominantly Hispanic and first-generation student population while addressing regional economic development priorities, creating a distinctive mission-driven approach to AI education. The curriculum emphasizes both rigorous technical foundations—data structures, algorithms, machine learning—and practical applications relevant to the U.S.–Mexico border region and South Texas economy, including supply chain optimization, bilingual natural language processing, and border security technologies. Faculty research often focuses on AI applications that benefit border communities: healthcare informatics systems, educational technology, and agricultural optimization. The program creates intentional pathways for underrepresented students in AI, with peer mentoring, bridge programs, and industry connections specifically designed to increase retention and career placement in tech fields. Partnerships with regional businesses, government agencies, and nonprofits provide internship opportunities and collaborative research that ground students' learning in community-relevant challenges. Graduates emerge with both strong technical AI skills and practical experience applying those skills to real regional problems, positioning them for roles in tech companies, government, and social impact organizations where bilingual, border-aware AI expertise commands premium value.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Location Advantages: U.S.–Mexico border region with emerging tech sector growthAccess to unique bilingual and border-security industry applicationsGrowing South Texas technology and startup ecosystem
Texas Woman's University — Denton, TX
Key Distinction: TWU's Data Science and Informatics program uniquely combines computer science with interdisciplinary applications in health informatics and emerging technologies, while the CNTER Lab pioneers the integration of cognitive neuroscience with VR, AR, MR, and AI technologies.
Hakia Insight: TWU's CNTER Lab partnership with ReflectXR and ReviveXR means master's students work on AR/VR-embedded AI systems for rehabilitation—a niche market where the lab's domain expertise translates to rare job placement pathways in healthcare technology.
Texas Woman's University offers comprehensive Data Science and Informatics programs that combine computer science fundamentals with advanced mathematics and data analysis techniques. The B.S. in Data Science and Informatics with Data Science Minor provides a hybrid interdisciplinary approach that prepares students for diverse careers in science and mathematics-oriented fields. The program teaches key components including data analysis, visualization, machine learning, and big data management. Students benefit from small class sizes that provide quality learning environments and active engagement with outstanding faculty. An Accelerated 4+1 program allows students to earn both bachelor's and master's degrees. The university also features the Cognitive Neuroscience and Technology for Education and Rehabilitation (CNTER) Lab, which integrates cognitive neuroscience with emerging technologies including Virtual Reality, Augmented Reality, Mixed Reality, and Artificial Intelligence for education and rehabilitation applications.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Research Labs and Institutes
- Cognitive Neuroscience and Technology for Education and Rehabilitation (CNTER) Lab
Industry Partners
- ReflectXR (corporate)
- ReviveXR (corporate)
Notable Faculty
- Asha Vas — Cognitive neuroscience and emerging technologies
- Lisa Griggs-Stapleton — Occupational therapy and technology integration
- David Gardner — Computer Science
- Sarah Jones — Computer Science
Location Advantages: Small class sizes for quality learning environmentsActive engagement with facultyInterdisciplinary collaboration opportunities
Baylor University — Waco, TX
Key Distinction: Baylor's AI program uniquely combines technical innovation with ethical leadership grounded in Christian values, offering interdisciplinary AI applications across multiple colleges from autonomous vehicles to infant developmental health screening.
Hakia Insight: Baylor's AVIA Lab and partnership with the National Institutes of Health create dual specialization paths—one in autonomous vehicles, one in health AI—allowing students to choose between growing automotive and biotech sectors without switching programs.
At the master's level, baylor University's Artificial Intelligence program integrates cutting-edge AI technology with ethical leadership grounded in Christian principles. The program spans multiple disciplines including computer science, engineering, healthcare, journalism, and law. Key initiatives include the Advanced Vehicle Intelligence and Autonomy (AVIA) Lab focusing on autonomous transportation systems, AI-enhanced developmental health screening through the NIH-funded Emma Baby app, and comprehensive AI ethics courses across business, healthcare, and legal sectors. Faculty are actively incorporating AI tools into curriculum while teaching responsible implementation. The program emphasizes both technical excellence and moral considerations in AI deployment, preparing students to be ethical leaders in AI implementation across various industries.
Programs Offered
- Master of Science in Artificial Intelligence — 1-2 years, on-campus
- Master of Arts in Artificial Intelligence — 1-2 years, online
Research Labs and Institutes
- Advanced Vehicle Intelligence and Autonomy (AVIA) Lab
Industry Partners
- National Institutes of Health (government)
Notable Faculty
- Teresa Fair-Field — AI applications in infant developmental health
- Liang Sun — Autonomous vehicle intelligence and mechanical engineering
- Alec Tefertiller — AI in journalism and public relations
Location Advantages: Access to diverse industry applicationsIntegration across multiple academic disciplines
Best Doctoral Artificial Intelligence Degree Programs in Texas
Texas A & M University-College Station — College Station, TX
Key Distinction: Offers both thesis and non-thesis tracks with comprehensive coverage of AI fundamentals plus specialized areas like robotics, natural language processing, and computer vision, with emphasis on ethical decision-making
Hakia Insight: Texas A&M's thesis and non-thesis doctoral tracks are strategically valuable: non-thesis candidates can complete the degree in 2-3 years and move into industry leadership faster, while thesis candidates access the Texas A&M System's research funding advantage.
At the doctoral level, this program equips you with advanced skills in AI, machine learning, and ethical decision-making, empowering you to create innovative solutions and lead AI initiatives across industries. It is a STEM program designed to prepare students to shape the future of technology and elevate careers in this fast-growing field.
Programs Offered
- Doctor of Philosophy in Artificial Intelligence — 4-6 years, on-campus
- Doctor of Science in Artificial Intelligence — 4-6 years, online
Location Advantages: College Station campus with comprehensive engineering facilitiesAccess to Texas A&M University System resources
The University of Texas at El Paso — El Paso, TX
Key Distinction: UTEP distinguishes itself by offering one of the few dedicated Bachelor's degrees in Artificial Intelligence along with a unique Master's in AI in Education program that focuses specifically on ethical and equitable use of generative AI in diverse educational contexts.
Hakia Insight: UTEP's dedicated Master's in AI in Education program is rare nationally—it directly addresses the emerging market for ethicists and policy experts guiding generative AI adoption in schools, a field employers are actively funding but cannot yet staff.
At the doctoral level, the University of Texas at El Paso offers comprehensive Artificial Intelligence programs at both undergraduate and graduate levels. The BS in Artificial Intelligence is a 120-credit program designed to prepare students to identify how AI can solve real-world problems, apply symbolic and numeric models, and design state-of-the-art AI and machine learning techniques for handling real-world data including image, speech, and language data. The program emphasizes both theoretical foundations and practical applications, covering areas like planning and optimization, perception and vision, natural language understanding, and robotic process automation. At the graduate level, the MS in Artificial Intelligence provides a comprehensive 30-credit curriculum with five core courses, four technical electives, and hands-on practicum experience. The program bridges academic concepts with real-world applications and offers both thesis and practicum options. UTEP also offers a unique MA in Artificial Intelligence in Education, a fully online 30-credit program focused on responsible use of AI in instructional design.
Programs Offered
- Doctor of Philosophy in Artificial Intelligence — 4-6 years, on-campus
- Doctor of Science in Artificial Intelligence — 4-6 years, online
Research Labs and Institutes
- Discovery Analytics Laboratory
- Cybersecurity through Workshops, Analysis & Research (CyWAR)
- Linking Knowledge Across Disciplines, Data and Models (iLink)
- Interactive Systems Group (ISG)
- Intelligent Agents and Strategic Reasoning Laboratory (IASRL)
Industry Partners
- Army Research Lab (government)
Notable Faculty
- Mahmud Shahriar Hossain — Machine Learning, Data Mining
- Salamah I. Salamah — Cybersecurity, Software Engineering
- Natalia Villanueva-Rosales — Data Integration, Knowledge Graphs
- Nigel Ward — Spoken Dialog Systems, Human-Computer Interaction
Admissions
GPA Requirement: 3.0.
Requirements: Programming in high-level language (Java or C++), Data structures and algorithms (CS 2302 with B or better), Probability and statistics (STAT 3320), Calculus, Physics
Location Advantages: El Paso border locationAccess to government research partnerships
Southern Methodist University — Dallas, TX
Key Distinction: SMU's AI program is distinguished by its integration of technical machine learning depth with business applications and access to Dallas's financial services and enterprise sectors.
Hakia Insight: At the doctoral level, SMU's Comerica and Fiserv partnerships mean PhD students don't wait for postdocs—they co-author applied research in financial ML that enterprises fund and deploy, compressing the gap between dissertation and industry impact.
At the doctoral level, SMU's artificial intelligence offerings integrate rigorous computer science fundamentals with business and engineering applications, reflecting the university's position in Dallas's increasingly sophisticated tech market. Graduate students in the program can pursue concentrated study in machine learning, data science, and computational intelligence while maintaining flexibility to incorporate coursework from business schools or engineering programs—a structure that appeals to students building hybrid expertise. The curriculum emphasizes both algorithmic understanding and practical implementation, with access to datasets and computing resources supporting real-world projects. SMU's Dallas location and strong connections to the local business community mean that AI coursework often connects to challenges in financial services, healthcare systems, and enterprise software. Faculty research interests span machine learning theory, applications in cybersecurity, and AI systems. The program attracts a significant cohort of students already working in tech and business roles, creating peer learning environments and professional networks. Graduates leverage SMU's extensive alumni base in Dallas corporations and startups, with many pursuing roles that blend technical AI skills with business acumen—a positioning that differentiates SMU from more purely technical programs.
Programs Offered
- Doctor of Philosophy in Artificial Intelligence — 4-6 years, on-campus
- Doctor of Science in Artificial Intelligence — 4-6 years, online
Research Labs and Institutes
- School of Engineering Research Centers
Industry Partners
- Fiserv (corporate)
- Comerica (corporate)
Career Outcomes
Top Employers: JPMorgan Chase, Microsoft, Fiserv, Google, EY.
Admissions
GPA Requirement: 3.000.
Location Advantages: Located in Dallas financial center with major banking and fintech presenceAccess to Fortune 500 corporate innovation officesStrong relationships with Dallas-area healthcare systems
Texas State University — San Marcos, TX
Hakia Insight: Texas State's three distinct research labs (AI, Systems, Data Science) allow doctoral candidates to pivot specializations between core courses and dissertation without restarting, a flexibility programs structured around single labs cannot offer.
At the doctoral level, texas State University offers a comprehensive 30-credit Master of Science in Artificial Intelligence program designed as a two-year degree with 4 core courses, 4 AI-related electives from 14 available courses, and 2 open electives from the general graduate CS curriculum. Students must pass both a comprehensive programming exam and a communication exam in addition to completing coursework.
Programs Offered
- Doctor of Philosophy in Artificial Intelligence — 4-6 years, on-campus
- Doctor of Science in Artificial Intelligence — 4-6 years, online
Research Labs and Institutes
- Artificial Intelligence Research Area
- Computer Systems and Engineering Research Area
- Data Science and Engineering Research Area
- High-Performance Computing Research Area
- Human-Centered Computing Research Area
Industry Partners
- NSF (government)
- NIST (government)
- DoD (government)
- DoE (government)
- DHS (government)
- Google (corporate)
- Meta (corporate)
- AMD (corporate)
- IBM (corporate)
- Intel (corporate)
Location Advantages: San Marcos, TX locationAccess to College of Science and Engineering resources
The University of Texas at San Antonio — San Antonio, TX
Key Distinction: UTSA's program stands apart through its integration with cybersecurity expertise and established defense-sector research partnerships, positioning graduates for government and national security AI roles.
Hakia Insight: UTSA's NSA and DoD partnerships mean doctoral graduates have security clearance-eligible backgrounds and classification-appropriate research experience—a credential that cuts 6-12 months from hiring timelines for national security AI roles.
At the doctoral level, UTSA's artificial intelligence program distinguishes itself through a strong emphasis on applied machine learning and real-world problem-solving, particularly in areas relevant to South Texas industries and emerging technology sectors. The program integrates hands-on experience with AI development through partnership projects with local businesses and research initiatives, giving students portfolio-ready experience before graduation. Faculty members bring expertise spanning computer vision, natural language processing, and autonomous systems, creating opportunities for undergraduate and graduate students to contribute to meaningful research while learning. The curriculum balances theoretical foundations in algorithms and statistical methods with practical implementation using industry-standard tools and frameworks. What sets UTSA's approach apart is its commitment to making advanced AI education accessible through flexible degree pathways, including online and part-time options that accommodate working professionals seeking to transition into AI roles. The program benefits from UTSA's location in a growing technology hub, creating internship opportunities with companies expanding their AI capabilities in the region. Career outcomes consistently show strong placement in data science and machine learning positions, with graduates moving into roles at both established tech companies and innovative startups. The program also emphasizes ethical AI and responsible development practices, recognizing that tomorrow's AI professionals need grounding in the societal implications of their work alongside technical skills.
Programs Offered
- Doctor of Philosophy in Artificial Intelligence — 4-6 years, on-campus
- Doctor of Science in Artificial Intelligence — 4-6 years, online
Industry Partners
- National Security Agency (government)
- Department of Defense (government)
Location Advantages: San Antonio technology cluster and growing AI development communityProximity to military installations and defense contractorsAccess to government and national security sector opportunities
