TX

Master's in ML
On-Campus, Online

Rice University

Master of Data Science – Machine Learning

  • Houston
About This Program

An interdisciplinary graduate program providing a thorough understanding of the computational and statistical foundations required for a career in data science.

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What You'll Learn

Students learn to collect and interpret raw data, apply machine learning techniques, and communicate actionable insights to diverse stakeholders.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum features a rigorous blend of courses in big data, visualization, and programming, culminating in a real-world data science capstone project.
Typical Course Topics
1. Applied Machine Learning 2. Deep Learning 3. Data Mining 4. Machine Learning Foundations 5. Network Science and Analytics 6. Data Science Projects
Program Specializations:
Natural Language Processing (NLP)
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Research Scientist 4. Predictive Analytics Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and data-driven firms in finance, healthcare, and consulting.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 51,677
Format
On-Campus, Online
Specializations
Natural Language Processing (NLP)
Deep Learning
Official Resources
Program Website
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