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Earn a Respected Master’s Degree Without Pausing Your Career

Learn more about Rice’s fully online, accredited professional master’s programs designed for working professionals ready to advance, pivot, or lead.

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Accredited Institution

Regionally accredited university with rigorous academic standards.

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Nationally Recognized

Programs ranked and recognized for academic excellence and impact.

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Expert Faculty

Taught by scholars and industry professionals with real-world experience.

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Designed for Completion

Most students complete their degree in approximately two years.

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Flexible Online Format

Self-paced coursework with scheduled live sessions.

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Multiple Start Dates

Begin your program in June, August, or January.

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Financial Aid Available

Federal aid, employer benefits, and payment options may apply.

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Transparent Tuition

Clear, upfront program costs—no hidden fees.

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Student Support Built In

Dedicated advising and resources from enrollment through graduation.

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Online Master’s Programs at a Glance

Master’s of Computer Science

Curriculum: 30 credit hours
  • 10 Courses
  • 4 Specializations
  • System Specialization
  • Machine Learning/AI
  • Data Science
  • Engineering Leadership
Learn More About the Curriculum
Admissions Requirements
  • Application
  • Resume/CV
  • Statement of Purpose
  • 2 Letters of Recommendation
  • $85 Application Fee
Optional Test Scores
  • GRE
  • TOEFL
Learn More About the Admissions

Master’s of Data Science

Curriculum: 30 credit hours
  • 10 Courses
  • 2 Specializations
  • Machine Learning/AI
  • Business Analytics
Learn More About the Curriculum
Admissions Requirements
  • Application
  • Resume/CV
  • Statement of Purpose
  • 2 Letters of Recommendation
  • $85 Application Fee
Optional Test Scores
  • GRE
  • TOEFL
Learn More About the Admissions
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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.

Tyler Aguilar | Online Master of Data Science ’25

The coursework I learned at Rice University’s online program was directly transferable to my professional career.

Griggs Huffstetler | Online Master of Computer Science ’23

A door that has opened is with Deloitte. I’m actually going over there to their Chicago office in August.

Javier Castaños | Online Master of Data Science ‘25

Prior to this, I didn’t know how to code… and those skills have become infinitely useful in my everyday work.

Danielle Rossi | Master of Data Science ‘25

Program Experience

It was an amazing opportunity to attend Rice’s prestigious classes… but in my own home and on my own schedule.

Tegan Jones | Online Master of Data Science ’25

Being an online student… it affords me the opportunity to work while advancing my career.

Daniel Richards | Online Master of Computer Science student

…the people that I’ve met have been really great and have given me connections across the country.

Danielle Rossi | Online Master of Data Science ’25

Being delivered these interesting things week by week really did build my skillset and allowed me to make a lot of what I’m doing at work a lot more digestible for an audience.

Tyler Aguilar | Online Master of Data Science ’25

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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
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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
Learn More
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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 Computer Science and Data Science alumni have gone to leading companies including:

Amazon
Apple
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JPMorgan
ibm
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kpmg
meta
mercuria
microsoft
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paycom
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valero
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vmware