Mississippi State University
MS in Artificial Intelligence
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 $18.0K in total tuition, the MS in Artificial Intelligence sits roughly 58% below the $42.4K average for AI master's programs in our database β placing it in the 18th 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, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics. GRE scores are often optional, and relevant work or research experience strengthens applications.
About This Program
A 31-credit graduate program that combines advanced computer science theory with specialized AI/ML techniques to solve emerging challenges across various industrial and scientific fields. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.
Estimated total tuition is $18.0K, below the $42.4K average for AI master's programs in our database and in the 18th 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. AI Research Scientist
- 3. Data Scientist
- 4. AI Software Developer
What You'll Learn
- Design and implement machine learning models for predictive analytics
- Develop deep neural networks for complex pattern recognition
- Apply natural language processing to text and speech data
- Build AI systems adhering to ethical and fairness principles
Curriculum Highlights
Students choose between thesis and non-thesis tracks, with a curriculum focused on AI core courses, domain-specific electives, and a comprehensive final exam or defense.
Top Employers
Top employers include Google, Microsoft, Amazon, NVIDIA, and research institutions like OpenAI.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics. GRE scores are often optional, and relevant work or research experience strengthens applications.
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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