Georgia Institute of Technology
Online MS in Computer Science - Machine Learning
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $6.8K in total tuition, the Online MS in Computer Science - Machine Learning sits roughly 84% below the $42.4K average for AI master's programs in our database β placing it in the 0th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: 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.
About This Program
Georgia Tech's online MS in Computer Science (machine learning focus) pairs a top-five CS brand with a tuition cost a fraction of on-campus alternatives. The credential is identical to the on-campus degree, and the ML coursework spans supervised learning, reinforcement learning, and applied ML systems.
For working software engineers who want rigorous ML training without pausing their careers, the program's flexible, asynchronous format and exceptional value make it one of the most popular AI degrees in the country.
Why students choose it: Top-5 CS brand, ML depth, and unbeatable cost for working professionals.
Career Outcomes
Lead as Machine Learning Engineer in Cross-Industry AI with natural language processing (nlp) expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. NLP Specialist
What You'll Learn
- Implement supervised, unsupervised, and reinforcement learning algorithms.
- Design and train deep neural networks for complex data.
- Apply Bayesian methods and probabilistic models to uncertain data.
- Build natural language processing systems for text analysis.
Curriculum Highlights
The 30-hour curriculum requires core algorithms and machine learning courses, with room for electives in big data and analytics.
Top Employers
Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at companies like OpenAI and DeepMind.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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