Minnesota State University, Mankato
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 $17.0K in total tuition, the MS in Artificial Intelligence sits roughly 60% below the $42.4K average for AI master's programs in our database β placing it in the 14th percentile on cost among the 531 we track at this level.
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 in languages like Python and coursework in linear algebra, calculus, and probability.
About This Program
This advanced degree prepares students to build autonomous intelligent systems that integrate symbolic inference, knowledge representation, and automated reasoning to simulate human intelligence. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 2 years.
Estimated total tuition is $17.0K, below the $42.4K average for AI master's programs in our database and in the 14th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Position as Machine Learning Engineer in Cross-Industry AI with natural language processing expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Position as Machine Learning Engineer in Cross-Industry AI with natural language processing 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 techniques to text and speech data.
- Build AI systems emphasizing ethical decision-making and bias mitigation.
Curriculum Highlights
The program emphasizes planning and evaluating intelligent systems through a curriculum focused on autonomous learning, search algorithms, and advanced search and inference techniques.
Top Employers
Top employers include Google, Microsoft, Amazon, and 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 in languages like Python and coursework in linear algebra, calculus, and probability.
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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