Dakota State University

How this program compares

At an estimated $11.5K in total tuition, the Online MS in Artificial Intelligence sits roughly 73% below the $42.4K average for AI master's programs in our database — placing it in the 5th 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: Applicants must hold a bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field, with a minimum GPA of 3.0. Most programs require the GRE (or GMAT); some programs may waive this requirement for applicants with strong technical backgrounds and professional experience.

About This Program

This advanced degree program equips students with the technical and mathematical foundations of AI, covering both contemporary models and emerging technological breakthroughs in the field. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $11.5K, below the $42.4K average for AI master's programs in our database and in the 5th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Position as AI Engineer in Cross-Industry AI with neural networks expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $130,000.

Career Outcomes

Position as AI Engineer in Cross-Industry AI with neural networks expertise

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Research Scientist
• 4. AI Systems Architect

What You'll Learn

• Design and implement machine learning models using supervised and unsupervised learning techniques
• Apply AI algorithms and deep learning frameworks to solve real-world problems across multiple domains
• Evaluate AI systems for bias, fairness, and ethical implications in responsible AI deployment
• Develop data pipelines, feature engineering strategies, and model evaluation methodologies for production AI systems

Curriculum Highlights

The 30-credit curriculum includes core courses in the mathematics of AI, machine learning fundamentals, and professional ethics, culminating in a comprehensive AI capstone project.

Top Employers

Top employers include Google, Microsoft, Amazon, IBM, Meta, Tesla, OpenAI, and major consulting firms like McKinsey and Accenture.

Admissions

Applicants must hold a bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field, with a minimum GPA of 3.0. Most programs require the GRE (or GMAT); some programs may waive this requirement for applicants with strong technical backgrounds and professional experience.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Master of Science (MS)
• GRE/GMAT: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)