VA

Master's in ML
On-Campus, Online

Virginia Polytechnic Institute and State University

Master’s in Engineering in Machine Learning & Applications

  • Blacksburg
About This Program

This master’s degree offers graduate students a strong foundation in machine learning and deep learning, preparing them to solve complex real-world problems in industrial and social contexts.

Student Reviews
Write a Review
What You'll Learn

Students gain expertise in supervised and unsupervised learning, reinforcement learning, natural language processing, computer vision, and the design and analysis of machine intelligence.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure includes at least four concentration courses in software and machine intelligence, plus a required capstone project and ethics training.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning 3. Algorithms for Machine Learning 4. Natural Language Processing 5. Computer Vision 6. Machine Learning Applications in Engineering
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in engineering, computer science, or a related quantitative field with a minimum GPA of 3.0 is required, along with prerequisite coursework in linear algebra, calculus, probability, and programming.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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.

Check Application Deadlines
Career Opportunities in AI

Advance as Machine Learning Engineer in Engineering 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: $120,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Systems Engineer 3. Data Scientist 4. ML Applications Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and engineering firms such as Boeing and Lockheed Martin.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 20,288
Format
On-Campus, Online
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
Request Information