Ms Artificial Intelligence, The University of Texas at Austin

Austin, Texas

24 Months

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About this course

The Master’s of Artificial Intelligence at UT Austin is a 100% online program that prepares students to excel in the rapidly growing field of AI. This innovative degree covers a spectrum of highly relevant skills like reasoning under uncertainty, AI ethics, machine learning, deep learning, natural language processing, healthcare AI, and computational logic. The curriculum is designed with flexibility, featuring on-demand lectures and instructor-paced courses that students can access from anywhere, fitting into diverse schedules. The program emphasizes practical, real-world applications through case studies, hands-on projects, and collaboration with world-class faculty. With a focus on foundational and advanced topics, it aims to equip students with the technical skills and ethical understanding necessary to lead AI innovations across industries such as healthcare, finance, engineering, and more.

Why this course is highly recommended

This online AI master’s program stands out because it's one of the first of its kind available fully online, making it accessible globally. It’s cost-effective, priced at just over $10,000, and offers access to top faculty from UT Austin. The curriculum covers a comprehensive range of skills needed in the AI field, from technical machine learning concepts to ethical considerations, preparing students for the high-demand job market with an expected surge of 97 million new AI jobs globally. Its flexible format allows students to learn at their own pace, while its practical focus and real-world case studies make it highly relevant for those aiming to lead AI projects across various sectors.

Specialisation

The program offers a broad yet in-depth exploration of AI through various specializations and elective courses. Students can deepen their knowledge in core areas like deep learning, machine learning, reinforcement learning, natural language processing, and AI in healthcare. The curriculum includes specialized topics such as advances in deep learning models, computational logic for software verification, and AI applications in medicine and health. Each course is designed to build on theoretical foundations while providing practical experience, ensuring students are ready to tackle complex AI challenges in multiple domains.

Course fees

Application fees

0.00L

1st year tuition fees

Living cost

Degree requirements

To graduate, students must complete a total of ten courses, consisting of one required course in Ethics in AI and nine elective courses. Each course is worth 3 credit hours, and students need to accumulate 30 credit hours. The curriculum is divided between foundational courses like Deep Learning, Ethics in AI, and Machine Learning, along with electives that cover advanced topics such as healthcare AI, natural language processing, and optimization. It is recommended that students complete the core and foundational courses early in their studies to build a strong base before tackling electives.

English language test

DUOLINGO

IELTS

6.5

TOEFL

PTE

Career prospects

Graduates of this online AI master’s program will be well-positioned for a variety of roles in the rapidly expanding AI industry. The program’s comprehensive curriculum, which includes both technical skills and ethical awareness, prepares students to lead AI innovations in sectors like healthcare, finance, engineering, and technology. With the demand for AI professionals expected to grow significantly, students can pursue roles such as AI engineer, data scientist, machine learning specialist, AI ethics consultant, and roles in AI research and development across diverse industries.

FAQs

Is this program fully online?

Yes, the Master’s of Artificial Intelligence at UT Austin is a 100% online program designed to be accessed asynchronously.

What is the cost of the program?

The program is priced at over $10,000, making it an affordable option for many students.

What are the prerequisites?

While specific prerequisites are not detailed here, the curriculum covers advanced topics, so a background in computer science, mathematics, or related fields would be beneficial.