Description
The Online Master of Science in Artificial Intelligence at UT Austin is designed to equip students with the skills needed to excel in the rapidly growing field of AI. This program is one of the first AI master's programs available entirely online, providing flexibility for students to learn at their own pace. The curriculum covers a wide range of topics, including reasoning under uncertainty, ethics in AI, and case studies in machine learning. Students will engage with world-class faculty and collaborate with peers through on-demand lectures and weekly release schedules.
The program requires the completion of ten courses, including one required course on Ethics in AI and nine elective courses. Each course is worth three credit hours, totaling 30 credit hours for the program. The coursework is designed to prepare students for leadership roles in various industries, such as engineering, medicine, finance, and project management.
Students will gain hands-on experience in designing, training, and debugging deep networks using tools like PyTorch. The program also emphasizes the ethical responsibilities of AI professionals, preparing students to navigate the complex ethical landscape of AI development and deployment.
With a tuition fee of $10,000 plus additional fees, the program offers an affordable path to advanced AI education. Graduates will be well-prepared to take on roles that require advanced AI knowledge and skills, contributing to innovations across multiple sectors.
Online Master of Science in Artificial Intelligence (UT Austin)'s Core Features
100% online program
30 credit hours
Ethics in AI course required
Nine elective courses
Hands-on experience with PyTorch
World-class faculty
Flexible learning schedule
Affordable tuition
How to use Online Master of Science in Artificial Intelligence (UT Austin)?
Enroll: Apply to the program
Study: Complete required and elective courses
Collaborate: Engage with faculty and peers
Graduate: Earn your master's degree
Online Master of Science in Artificial Intelligence (UT Austin)'s Use Cases
- AI Development
- Ethical AI Leadership
- Machine Learning Engineering
- AI Research
- AI in Healthcare




