GA

Master's in ML
On-Campus

Georgia Institute of Technology

MS in Computer Science – Machine Learning

  • Atlanta
About This Program

This graduate specialization provides rigorous training in the algorithms and statistical models that allow systems to learn from data.

Student Reviews
Write a Review
What You'll Learn

Students develop expertise in high-performance computing and data analytics to prepare for highly productive careers in the technology industry.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program requires core algorithms and machine learning coursework, supplemented by electives in visual analytics, social computing, and modeling.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning 3. Algorithms for Machine Learning 4. Natural Language Processing 5. Bayesian Methods in Machine Learning 6. Reinforcement Learning
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, mathematics, engineering, or a related field with a strong GPA (typically 3.0+) is required, along with proficiency in programming and mathematics; GRE is optional for most applicants.
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

Thrive 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: $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 Research Scientist 3. Data Scientist 4. NLP Specialist
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, Meta, and companies like Nvidia partnering on AI research.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 6,750
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
Request Information