GA

Master's in ML
Online

Georgia Institute of Technology

Online MS in Computer Science – Machine Learning

  • Atlanta
About This Program

This program offers an online pathway to master the mathematical and computational foundations of modern machine learning.

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What You'll Learn

Students gain proficiency in designing, building, and evaluating systems that analyze complex data and automate decision-making processes.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 30-hour curriculum requires core algorithms and machine learning courses, with room for electives in big data and analytics.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Reinforcement Learning 4. Natural Language Processing 5. Bayesian Methods 6. Machine Learning for Trading
Program Specializations:
Natural Language Processing (NLP)
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, or a related field with a strong GPA (typically 3.0+) and proficiency in programming and mathematics is required. GRE is optional, and relevant coursework or experience strengthens applications.
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

Lead as Machine Learning Engineer in Cross-Industry AI with natural language processing (nlp) 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 AI research labs at companies like OpenAI and DeepMind.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 6,750
Format
Online
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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