
Earn a Respected Master’s Degree in Data Science Without Pausing Your Career

Get Program Details
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.
Because we’re ranked #3, application fees are free.
Learn more about Rice’s fully online, accredited Master of Computer Science program, designed for working professionals ready to advance, pivot, or lead.
Online Master’s Programs at a Glance
Master of Data Science
- 10 Courses
- 4 Specializations
- System Specialization
- Machine Learning/AI
- Data Science
- Engineering Leadership
- Application
- Resume/CV
- Statement of Purpose
- 2 Letters of Recommendation
- $85 Application Fee
- GRE
- TOEFL
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
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
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
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:

















