Georgia Institute of Technology

How this program compares

Budget-wise, $6.8K puts this master's program at the 0th percentile on cost — roughly 84% below the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

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.

At roughly $6.8K total, Georgia Institute of Technology's MS in Computer Science - Machine Learning sits below the $42.9K average among AI master's programs we track — the 0th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 26 AI-related programs we track in Georgia, of which about 69% offer an online option. On price, it comes in cheaper than about 88% of the Georgia programs in our data, where typical tuition runs near $36.8K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Develop and implement machine learning models for real-world data analysis.

Career Outcomes

Georgia Institute of Technology positions this master track for Machine Learning Engineer careers — typical offers cluster around $120,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Georgia Institute of Technology's MS in Computer Science - Machine Learning generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions