
Earn a Respected Master’s Degree in Data Science Without Pausing Your Career
Artificial Intelligence Specialization
The Artificial Intelligence specialization in the Online Master’s of Data Science program expands traditional data science training into intelligent systems and decision-making. Students select from courses including COMP 566, 647, 652, 653, and 654 to build applied AI expertise.
Graduates are equipped to move beyond analytics and into AI-driven innovation.
Accredited Institution
Regionally accredited university with rigorous academic standards.
Nationally Recognized
Programs ranked and recognized for academic excellence and impact.
Expert Faculty
Taught by scholars and industry professionals with real-world experience.
Designed for Completion
Most students complete their degree in approximately two years.
Flexible Online Format
Self-paced coursework with scheduled live sessions.
Multiple Start Dates
Begin your program in June, August, or January.
Financial Aid Available
Federal aid, employer benefits, and payment options may apply.
Transparent Tuition
Clear, upfront program costs—no hidden fees.
Student Support Built In
Dedicated advising and resources from enrollment through graduation.
Online Master’s Programs at a Glance
Master of Data Science
- 10 Courses
- 2 Specializations
- Machine Learning/AI
- Business Analytics
- Application
- Resume/CV
- Statement of Purpose
- 2 Letters of Recommendation
- $85 Application Fee
Hear From Our Students
Career Outcomes
I got a call from recruiters saying, NASA had a contract internship open… I applied all the skills that I’ve learned at Rice and they were impressed.
Program Experience
It was an amazing opportunity to attend Rice’s prestigious classes… but in my own home and on my own schedule.
AI & Machine Learning Built Into the Curriculum
Artificial intelligence and machine learning aren’t electives or add-ons — they’re embedded throughout both programs to prepare you for real-world applications.
- AI and ML concepts integrated across core and advanced coursework
- Hands-on experience with real datasets, models, and tools
- Practical applications in analytics, automation, and intelligent systems
- Ethical, responsible, and scalable AI emphasized throughout the curriculum
AI & Machine Learning Courses
- Computer Science 642 | Machine Learning
- Computer Science 647 | Deep Learning
- Computer Science 652 | Natural Language Processing
- Computer Science 653 | Statistical Machine Learning
Designed for the Workforce — Not Just Research
You’ll graduate with the ability to apply AI and machine learning techniques in professional environments, not just understand them theoretically.
Applied Outcomes
- Build and evaluate predictive models
- Deploy machine learning workflows
- Interpret and communicate data-driven insights
- Use AI responsibly in real organizational contexts
Stand Out as a Rice Graduate
Rice's strong reputation with some of the world's best employers improve your chances of getting the job you want. Some of our Data Science alumni have gone to leading companies including:









