Georgia Southern University
MS in Computer Science - Machine Learning
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 $9K in total tuition, the MS in Computer Science - Machine Learning sits roughly 79% below the $42.4K average for AI master's programs in our database β placing it in the 2nd 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: A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and proficiency in mathematics. GRE scores may be optional or required depending on the program.
About This Program
A graduate-level computer science program that provides intensive study in the principles, algorithms, and applications of machine learning and data science. Coursework concentrates on MLOps/AI Engineering and Machine Learning. Most students complete it in about 2 years.
Estimated total tuition is $9K, below the $42.4K average for AI master's programs in our database and in the 2nd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Advance 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
Advance as Machine Learning Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. Data Scientist
- 3. AI Research Scientist
- 4. NLP Specialist
What You'll Learn
- Develop and implement machine learning models for real-world data analysis.
- Apply deep learning techniques to image recognition and sequence modeling.
- Design algorithms optimized for large-scale computational problems.
- Evaluate and deploy AI systems using frameworks like TensorFlow and PyTorch.
Curriculum Highlights
Combines core computer science foundations like databases and algorithms with specialized machine learning electives and a final research project or thesis.
Top Employers
Top employers include Google, Amazon, Microsoft, and Meta.
Admissions
A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and proficiency in mathematics. GRE scores may be optional or required depending on the program.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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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