MasterOnlineFlexible

Georgia Institute of Technology

Online MS in Computer Science - Machine Learning

Atlanta, Georgia1.5 $7K total tuition
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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.

Est. Salary$120,000
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$7K total
Format
Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Natural Language Processing (NLP), Machine Learning

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: 2–3
  • 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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