Georgia Institute of Technology

How this program compares

At an estimated $6.8K in total tuition, the Online MS in Computer Science (OMSCS) – 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. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in computer science, mathematics, or a related quantitative field with a strong undergraduate record.[2] GRE scores and relevant coursework in algorithms, linear algebra, and statistics are typically expected.

About This Program

A specialized online graduate track within computer science focusing on the theoretical and practical aspects of machine learning and intelligent systems. 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.

Excel 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

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

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Research Engineer
• 4. Machine Learning Operations (MLOps) Engineer

What You'll Learn

• Design and implement machine learning models using algorithms, neural networks, and statistical methods
• Apply deep learning techniques to complex datasets and real-world problems
• Develop proficiency in NLP, Bayesian inference, and specialized ML domains
• Evaluate model performance, optimize hyperparameters, and implement production-ready ML solutions

Curriculum Highlights

Includes core computing foundations, specialized machine learning courses, and electives in deep learning, computer vision, and reinforcement learning for diverse applications.

Top Employers

Top employers include Google, Microsoft, Meta, Amazon, OpenAI, and major financial institutions specializing in algorithmic trading and fintech.[2

Admissions

Applicants must hold a bachelor's degree in computer science, mathematics, or a related quantitative field with a strong undergraduate record.[2] GRE scores and relevant coursework in algorithms, linear algebra, and statistics are typically expected.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Master of Science (MS)
• GRE/GMAT: Typically required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)