Rice University
Online Master of Data Science – Machine Learning
How this program compares
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Admission Snapshot
Typical admitted student: A bachelor's degree in a quantitative field such as computer science, statistics, or engineering is required, along with a minimum GPA of 3.0 and programming experience in Python or R; relevant work experience is preferred but not mandatory.[1][4
About This Program
This online program offers a graduate-level understanding of computational and statistical foundations of data science with a specialization in machine learning.
Career Outcomes
Excel as Data Scientist in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. Data Scientist
- 3. AI Specialist
- 4. Predictive Analytics Manager
What You'll Learn
- Build and evaluate machine learning models for predictive analytics.
- Apply deep learning techniques to complex datasets.
- Perform data mining and preprocessing for large-scale analysis.
- Develop capstone projects solving real-world data science problems.
Curriculum Highlights
The 31-35 credit curriculum includes core requirements in statistics and programming, plus specialized machine learning electives such as deep learning.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and industry leaders in finance and healthcare such as JPMorgan Chase and Pfizer.[1
Admissions
A bachelor's degree in a quantitative field such as computer science, statistics, or engineering is required, along with a minimum GPA of 3.0 and programming experience in Python or R; relevant work experience is preferred but not mandatory.[1][4
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 80+ / IELTS 6.5+)
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