Georgia Institute of Technology

How this program compares

At an estimated $6.8K in total tuition, the MS in Computer Science - Machine Learning sits roughly 84% below the $42.4K average for AI master's programs in our database — placing it in the 0th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: 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.

About This Program

This graduate specialization provides rigorous training in the algorithms and statistical models that allow systems to learn from data. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $6.8K, below the $42.4K average for AI master's programs in our database and in the 0th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. NLP Specialist

What You'll Learn

• Develop and implement machine learning models for real-world data analysis
• Apply deep learning techniques to complex datasets and applications
• Design algorithms for supervised, unsupervised, and reinforcement learning
• Evaluate and optimize ML systems using statistical and probabilistic methods

Curriculum Highlights

The program requires core algorithms and machine learning coursework, supplemented by electives in visual analytics, social computing, and modeling.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and companies like Nvidia partnering on AI research.

Admissions

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.

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+)