Georgia Southern University

How this program compares

Georgia Southern University's MS in Computer Science - Machine Learning lists about $9K total tuition — roughly 79% below the $42.9K AI master's average (1st percentile in our data). 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 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.

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

Estimated total tuition is $9K, below the $42.9K average for AI master's programs in our database and in the 1st percentile on cost at this level. 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 73% 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.

Career Outcomes

Graduates of Georgia Southern University's MS in Computer Science - Machine Learning most often target Machine Learning Engineer roles, where reported compensation runs around $120,000. Its focus on MLOps/AI Engineering and Machine Learning 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. 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

Admission to Georgia Southern University'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