Texas Machine Learning Masters Programs

Rice University offers an Online Master of Data Science with a concentration in Machine Learning, designed for professionals seeking to master AI and data analysis. This program stands out for its comprehensive curriculum that includes statistical machine learning, natural language processing, and deep learning. Situated in Houston, TX, a center for technological innovation, students benefit from direct exposure to real-world applications. The program is tailored for those aiming for careers in software engineering and data science, emphasizing practical skills in a rapidly evolving field. No entrance exam is required, making it accessible to a wide range of applicants.

• Online Master of Data Science
• Specialization in Machine Learning
• Located in Houston, TX
• Covers statistical machine learning
• Includes natural language processing
• Deep learning curriculum
• Prepares for high-demand tech careers
• Focus on practical AI skills
• Ideal for professionals advancing in tech
• Access to real-world applications

The Online Master of Data Science at Rice University, with a specialization in Deep Learning, prepares students for the forefront of AI technology. This program uniquely combines theoretical computer science with practical applications in deep learning, offering courses like Statistical Machine Learning and Natural Language Processing. Houston's vibrant tech scene provides unparalleled industry connections. Aimed at those looking to enter high-demand tech careers, the program focuses on real-world skills without the need for an entrance exam, welcoming professionals eager to advance in the field of machine learning.

• Online Master of Data Science
• Specialization in Deep Learning
• Located in Houston, TX
• Focus on AI and machine learning
• Courses include Statistical Machine Learning
• Natural Language Processing course
• Deep Learning curriculum
• Prepares for high-demand careers
• Industry connections in Houston
• Lucrative career opportunities

Rice University's Online Master of Data Science program, focusing on Natural Language Processing, equips students with advanced AI and machine learning skills. The curriculum delves into statistical machine learning, deep learning, and specifically natural language processing, preparing graduates for lucrative roles in tech. Located in Houston, TX, the program leverages the city's innovation ecosystem for practical learning. Designed for data science professionals, it offers a pathway to success in this fast-growing area without requiring an entrance exam, thus broadening access to cutting-edge education in machine learning.

• Online Master of Data Science
• Specialization in Machine Learning
• Focus on Natural Language Processing
• Located in Houston, TX
• Comprehensive machine learning curriculum
• Prepares for high-demand tech careers
• Access to real-world industry applications
• Covers statistical machine learning
• Includes deep learning topics
• Natural language processing focus

The University of Texas at Austin's online Master's in Artificial Intelligence program is tailored for aspiring professionals aiming to lead in the AI revolution, with a special focus on Machine Learning, Natural Language Processing, and Computer Vision. This 30-hour, 10-course curriculum delves into deep learning and AI ethics, preparing students for the burgeoning global AI job market. Priced at around $10,000, it stands out as a cost-effective, flexible option with asynchronous courses suitable for students worldwide. Admission requires a bachelor's degree, with no mention of an entrance exam, offering Fall and Spring start dates. The program boasts world-class faculty and a comprehensive approach to AI education.

• 100% online program.
• Focus on Machine Learning.
• Covers Natural Language Processing.
• Includes Computer Vision.
• Affordable $10,000 tuition.
• Flexible asynchronous courses.
• World-class faculty.
• 30-hour program.
• 10 courses to graduate.
• Ethics in AI required.

The University of Texas at Dallas offers a Master of Science in Computer Science with a specialized concentration in Artificial Intelligence (AI), Machine Learning, and Data Science. This program is designed for students aiming to excel in the rapidly evolving tech industry, providing a comprehensive curriculum that covers both theoretical foundations and practical applications. With a faculty of distinguished scholars and professionals, students engage in cutting-edge research and interdisciplinary projects. The campus location in Richardson, TX, offers unparalleled access to tech hubs, enhancing career opportunities. Applicants must have a bachelor's degree with prerequisites in programming, calculus, and linear algebra, and are generally required to submit GRE scores. The program supports both full-time students and professionals seeking advancement, offering flexible scheduling options.

• Concentration in AI, Machine Learning
• Campus-based program
• Flexible class schedules
• Strong industry connections
• Research opportunities available
• Requires GRE scores
• Bachelor's degree prerequisite
• Strong programming foundation needed
• Renowned faculty
• Multidisciplinary approach

Texas Wesleyan University's Master of Computer Science with a concentration in Machine Learning is tailored for professionals seeking to deepen their expertise in this dynamic area. This fully online program stands out for its flexibility, offering both 12- and 18-month degree plans with 7-week sessions, ideal for those balancing work and study. The curriculum delves into computer architecture, security principles, and specialized machine learning topics, equipping students with both theoretical knowledge and practical skills. A bachelor's degree in a related field is required for admission, but the program does not mandate an entrance exam, making it accessible to a broader range of applicants.

• Fully online program.
• 12- or 18-month plans.
• 7-week sessions.
• Machine Learning concentration.
• Flexible for working professionals.
• Covers foundational and advanced topics.
• Prepares for evolving tech landscape.
• Practical skills and knowledge focus.
• Bachelor's degree required for admission.

The University of Houston-Downtown offers a Master of Science in Artificial Intelligence, a 30-credit hour hybrid program tailored for individuals with a solid foundation in programming and mathematics. This program stands out with its specialized concentrations in Data Mining, Deep Learning, and Natural Language Processing, catering to students aiming to excel in these cutting-edge areas of AI. Emphasizing a practical approach, the curriculum incorporates hands-on training with Python and TensorFlow, preparing students for real-world AI challenges. Admission prerequisites include a bachelor's degree, a minimum GPA of 3.0 in the last 60 credit hours, and completion of foundational courses in programming and mathematics. Recognized for its excellence, this program blends hybrid, face-to-face, and online learning, making it a top choice for aspiring AI professionals.

• 30 credit-hour program
• Hybrid learning format
• Concentrations available
• Strong programming focus
• Hands-on AI training
• Python and TensorFlow
• GPA 3.0 requirement
• Foundational courses needed
• Evening face-to-face courses

The University of Texas at San Antonio's Master's Degree in Artificial Intelligence stands out for its comprehensive, multidisciplinary approach, focusing on Analytics, Computer Science, and Intelligent and Autonomous Systems. This program is tailored for students aiming to excel in cutting-edge AI fields, offering both thesis and non-thesis paths to suit diverse career goals. With a requirement of a bachelor's degree and a minimum GPA of 3.0, it emphasizes practical skills through hands-on projects and research. International applicants must demonstrate English proficiency. The curriculum is designed to prepare graduates for high-demand roles in sectors like autonomous technology and robotics, making it a prime choice for aspiring AI professionals.

• Multidisciplinary AI training
• Specializations in three tracks
• Thesis and non-thesis options
• Minimum GPA of 3.0 required
• English proficiency for international students
• Hands-on learning opportunities
• Research-oriented curriculum
• Prepares for high-demand careers
• Campus-based program
• Admission requires bachelor's degree

Texas A&M University-Kingsville's Master of Science in Computer Science program stands out with its specialized concentrations in Artificial Intelligence and Deep Learning, Data Science, and Cybersecurity. Designed to meet the evolving demands of the tech industry, this program offers a comprehensive curriculum that includes advanced computer architecture and database management. Unique to this program is its inclusivity, welcoming both CS and non-CS undergraduates by providing foundational courses for those needing to bridge knowledge gaps. Students can choose from Thesis, Research Project, or Course Only options, allowing for flexibility in achieving their academic and professional goals. Accredited by the Southern Association of Colleges and Schools, it prepares graduates for either immediate industry entry or further doctoral studies, emphasizing practical skills in high-demand areas without requiring an entrance exam.

• Accredited by SACS.
• Three degree options available.
• Concentrations in AI, Data Science, Cybersecurity.
• Core courses in advanced topics.
• Open to non-CS undergraduates.
• Thesis, project, or course-only paths.
• Focus on current tech demands.
• Prepares for industry or doctoral studies.
• Includes foundational courses for gaps.
• Specializations in high-demand areas.

Tarleton State University's Master of Science in Artificial Intelligence and Machine Learning stands out for its flexible delivery options, available both online and on-campus in Stephenville, Texas. This program caters to students aiming for career progression or further academic pursuits, offering both thesis and non-thesis pathways. Admission requires a Bachelor's degree in computer science or a related discipline, with a minimum GPA of 3.0. The curriculum is rich in research-oriented projects, allowing students to delve into specialized areas such as robotics and deep neural networks. Graduates are well-equipped for the burgeoning field of AI, thanks to a balanced approach that marries theoretical foundations with hands-on experience.

• Online and campus options.
• Thesis and non-thesis tracks.
• Requires Bachelor's in related field.
• 3.0 GPA minimum.
• Research-based projects.
• Specializations available.
• Prepares for AI careers.
• Blends theory and practice.

The University of Texas at El Paso offers a Master of Science in Artificial Intelligence with a strong emphasis on Machine Learning, Deep Learning, and Decision Making. This campus-based program is tailored for individuals aiming to delve into the complexities of AI, requiring a Baccalaureate degree for admission. Notably, the GRE is optional, making it accessible to a broader range of applicants. The 30-credit curriculum is designed to equip students with a solid foundation in programming, data structures, and statistics, alongside offering electives for specialized knowledge. With options for a thesis or practicum, students gain both theoretical understanding and practical experience, preparing them for the evolving demands of the AI field.

• 30 credit program
• Machine Learning focus
• Deep Learning focus
• Decision Making focus
• Thesis or practicum option
• GRE optional
• English proficiency required
• Baccalaureate degree needed
• Programming knowledge required
• Data structures knowledge

The University of the Incarnate Word offers a Master of Science in Data Analytics designed for those aiming to lead in the analytics field. This 30-credit online program emphasizes mastering data collection, analysis, and ethical interpretation, alongside strategic decision-making skills. Students gain proficiency in industry-standard software and effective communication of data insights. The curriculum covers quantitative methods, data management, and machine learning, tailored for high-demand careers. Notably, the program does not require a GRE for admission, making it accessible for working professionals seeking flexibility. Ideal for those looking to apply data analytics in various sectors, including non-profit, this program starts in Spring 2023.

• 30-credit-hour degree
• Online program
• No GRE required
• Focus on data ethics
• Industry-standard software training
• Strategic decision-making emphasis
• Flexible for working professionals
• High-demand career preparation
• Courses in machine learning
• Data management skills

North American University offers an online Master of Science in Computer Science with a concentration in Machine Learning, tailored for tech professionals seeking to deepen their expertise. This program stands out for its focus on machine learning, alongside advanced algorithms, cloud computing, and data mining, preparing students for high-demand roles in the tech industry. Designed with flexibility in mind, it can be completed in as little as 16 months, accommodating the schedules of working professionals. Admission prerequisites include a bachelor's degree and English proficiency for international applicants, with no GRE requirement mentioned, making it accessible for many aspiring students.

• Online program
• Concentration in Machine Learning
• Complete in 16 months
• 30 credit hours required
• Advanced algorithms covered
• Focus on cloud computing
• Data mining included
• Flexible for professionals
• Bachelor's degree required
• English proficiency needed