Rice University
Master of Data Science - Machine Learning
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $51.7K in total tuition, the Master of Data Science - Machine Learning sits about 22% above the $42.4K average for AI master's programs in our database — placing it in the 71st percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in a quantitative field such as computer science, statistics, mathematics, or engineering is required, along with a minimum GPA of 3.0 and programming experience in Python or R. Relevant work experience or coursework in statistics and linear algebra is preferred.
About This Program
Rice University's Master of Data Science with a Machine Learning focus offers a selective private university's data science training with flexible on-campus and online options. The curriculum emphasizes applied ML, statistics, and practical data skills.
Rice's small scale, strong faculty access, and Houston location — a hub for energy, healthcare, and aerospace — give the program a distinctive applied dimension.
Why students choose it: Selective private DS program with ML focus and Houston's applied-industry demand.
Career Outcomes
Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. Data Scientist
- 3. AI Research Scientist
- 4. Predictive Analytics Specialist
What You'll Learn
- Build and evaluate machine learning models for predictive analytics and pattern recognition.
- Apply deep learning techniques to complex datasets including images and sequences.
- Perform data mining and preprocessing for scalable machine learning pipelines.
- Develop real-world data science projects integrating machine learning with domain applications.
Curriculum Highlights
The curriculum features a rigorous blend of courses in big data, visualization, and programming, culminating in a real-world data science capstone project.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and data-driven firms in finance, healthcare, and consulting.
Admissions
A bachelor's degree in a quantitative field such as computer science, statistics, mathematics, or engineering is required, along with a minimum GPA of 3.0 and programming experience in Python or R. Relevant work experience or coursework in statistics and linear algebra is preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.