TX

Master's in AI
On-Campus

Rice University

Master of Computational Science and Engineering (MCSE) – Machine Learning

  • Houston
About This Program

A non-thesis professional degree providing expertise in computational techniques and data engineering for technical and managerial leadership.

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What You'll Learn

Students master modern computational techniques, neural machine learning, and statistical inference to solve advanced technical problems in engineering.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The interdisciplinary curriculum features core courses in computational applied mathematics, statistics, and computer science, including iterative methods and numerical analysis.
Typical Course Topics
1. Machine Learning Foundations and Algorithms 2. Deep Learning and Neural Networks 3. Data Mining and Statistical Machine Learning 4. Natural Language Processing (NLP) 5. Computer Vision and Image Processing 6. Applied Machine Learning Capstone Project
Program Specializations:
Deep Learning
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a minimum undergraduate GPA of 3.0 and demonstrated proficiency in programming and mathematics. GRE scores are typically required or strongly recommended.
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE: Required or Strongly Recommended
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 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

Lead as Machine Learning Engineer in Engineering AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $125,000 Data Scientist: $120,000 AI/ML Research Scientist: $130,000 Software Engineer (ML Focus): $118,000
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/ML Research Scientist 4. Quantitative Analyst
Top AI Employers (Industry-Wide):
Top employers for machine learning graduates include Google, Amazon, Microsoft, Meta, Apple, OpenAI, and leading financial institutions such as JPMorgan Chase and Goldman Sachs.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 57,210
Format
On-Campus
Specializations
Deep Learning
Machine Learning
Official Resources
Program Website
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