Georgia Institute of Technology
MS in Computer Science – Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $21.1K in total tuition, the MS in Computer Science – Artificial Intelligence sits roughly 50% below the $42.4K average for AI master's programs in our database — placing it in the 30th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with strong programming skills in languages like Python or Java and foundational knowledge in algorithms and data structures.
About This Program
This specialization focuses on the design and implementation of intelligent software systems and the cognitive processes they emulate. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.
Estimated total tuition is $21.1K, below the $42.4K average for AI master's programs in our database and in the 30th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Lead as AI Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.
Career Outcomes
Lead as AI Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. Computer Vision Engineer
What You'll Learn
- Design and implement machine learning models for real-world problems.
- Apply deep learning techniques to image recognition and generative tasks.
- Develop natural language processing systems for text analysis and generation.
- Build reinforcement learning agents for decision-making in dynamic environments.
Curriculum Highlights
The curriculum emphasizes core algorithms, artificial intelligence methods, and human-computer interaction themes to provide a well-rounded technical foundation.
Top Employers
Top employers include Google, Microsoft, Amazon, and Meta.
Admissions
A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with strong programming skills in languages like Python or Java and foundational knowledge in algorithms and data structures.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 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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