MasterOn-Campus, OnlineFlexible

Dakota State University

MS in Artificial Intelligence

Madison, South Dakota1.5 $115K total tuition
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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 $11.5K in total tuition, the MS in Artificial Intelligence sits roughly 73% below the $42.4K average for AI master's programs in our database β€” 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.

Est. Salary$120,000
Job Growth+23%
Top RoleAI Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$12K total
Format
On-Campus, Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
AI Ethics/Policy, AI Engineering / Applied AI

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 coursework in probability, statistics, and linear algebra.

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 AI Ethics/Policy and AI Engineering / Applied AI. Most students complete it in about 1.5 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.

Lead as AI Engineer in Cross-Industry AI with neural networks expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Career Outcomes

Lead as AI Engineer in Cross-Industry AI with neural networks 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 real-world applications
  • Apply deep learning techniques to computer vision and sequence data
  • Evaluate AI systems for ethical implications, bias, and fairness
  • Develop AI solutions using programming, data structures, and algorithms

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, and IBM.

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 coursework in probability, statistics, and linear algebra.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • 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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