The Top Artificial Intelligence Colleges in Texas

Southern Methodist University (SMU), in Dallas, Texas, offers the online Master of Science in Computer Science with an Artificial Intelligence Specialization.

This degree teaches data mining, machine learning, and cloud computing. GRE waivers may be available to qualifying students.

This program's resources are available to online students 24 hours a day, 7 days a week. Online students can participate in weekly sessions face-to-face online with professors. There is effectively no difference with on-campus programs with respect to instructor access.

Credits: 30 total

Courses include:

• Artificial Intelligence
• Machine Learning in Python
• Computer Architecture
• Algorithm Engineering

This program has multiple start dates throughout the year. Applicants will need a Bachelor of Science in Computer Engineering, Computer Science, or a related engineering subject.

SMU also offers a Master of Science in Data Science with a Machine Learning specialization.

This program teaches students how to use machine learning to make intelligent decisions and interpretations using big data sets.

The University of Texas at Austin offers an online Master of Artificial Intelligence, which also includes instruction in Machine Learning.

Online students learn the following AI subjects:

• ethics in AI
• case studies in machine learning
• reasoning under uncertainty

The Ethics in AI class is the only required course, and the remaining 27 hours are Electives.

Elective courses include:

• Case studies in Machine Learning
• Online Learning and Optimization
• AI in Healthcare
• Natural Language Processing
• Automated Logical Reasoning

Credits: 30 credit hours (each course is 3 hours, so there are 10 courses)

Classes are asynchronous, which means that there is no set time to attend classes, which allows for flexibility.

University of North Texas (UNT) offers the Master of Science in Artificial Intelligence graduate program.

According to UNT, this program is the only standalone master's degree in artificial intelligence in the state of Texas.

Students can specialize in:

• autonomous systems
• biomedical engineering
• machine learning

Credits: 33 hours (bridge and core courses: 18 hours, validation and testing courses: 3 hours, and concentration courses: 12 hours).

Bridge courses teach relevant programming skills.

Core courses teaches competencies in these subjects:

• feature engineering
• machine learning
• big data and data science
• deep learning

Concentration courses cover areas such as autonomous systems and machine learning.

University of Texas at San Antonio offers a Bachelor of Science Artificial Intelligence: Multidisciplinary Studies degree.

This bachelor's teaches students AI through examining and understanding human intelligence processes, self-correcting, and reasoning.

This degree is interdisciplinary, with students studying AI within these domains:

• information systems
• mathematics
• electrical and computer engineering
• computer science
• statistics

Students can customize their program or choose from a pre-established program around a particular niche. The AI program is one of the niche options that students may choose.

Texas A&M University offers a Ph.D. in Civil Engineering with an Artificial Intelligence and Data Science track. This PhD degree is interdisciplinary.

Areas of research include:

• automated infrastructure monitoring
• disaster and multi-hazard engineering informatics
• transportation big data
• city-scale predictive analytics
• computer-aided infrastructure engineering and management
• sustainable decision making 
• data-driven approaches to understand environmental processes
• environmental systems analytics
• urban intelligence and computing

Credits: 64

Courses include:

• Spatial Statistics
• Machine Learning with Networks
• Data Mining and Analysis
• Statistics in Research I

Texas A&M University offers a campus-based, hybrid or online Master of Science in Artificial Intelligence. The hybrid option allows students to take some classes online, and some on-campus.

Credits: 34 - 37

There are non-thesis and thesis options available.

Students can choose from four emphases:

• Computational Linguistics
• Psychology
• Computer Science
• Mathematics

Courses include:

• Foundations of AI
• Python Programming for AI
• Machine Learning for AI
• Image Analysis and Recognition with Learning
• Seminar in AI Ethics
• Introduction to Learning Technology

University of Texas at Dallas offers a Bachelor of Science in Computer Science with applications in Artificial Intelligence, Machine Learning, Virtual Reality, and other subjects.

Courses include:

• Artificial Intelligence
• Introduction to Human-Computer Interaction
• Data and Applications Security
• Automata Theory
• Compiler Design
• Introduction to Machine Learning
• Object-Oriented Design

Automata Theory deals with theories about abstract machines answering questions; which includes positing the kinds of questions that can be answered and the kinds that cannot. Abstract machines are models that show how machine functions answer questions.

An example of an abstract machine is the Turing machine, which follows a set of instructions that determines its tasks.