SD

Master's in AI
Online

Dakota State University | Online MS in Artificial Intelligence

  • Madison
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.

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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

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Science in Artificial Intelligence is a graduate degree (typically 30-36 credits, 1-2 years full-time) preparing students to design, develop, and deploy AI systems across industry, research, and enterprise applications.
Typical Course Topics
1. Machine Learning Algorithms & Deep Learning 2. Applied Artificial Intelligence 3. Data Science & Analytics 4. Probability, Statistics & Linear Algebra 5. AI Ethics, Fairness & Responsible AI 6. AI Applications in Enterprise & Industry Domains
Program Specializations:
Artificial Intelligence & Machine Learning
AI Engineering / Applied AI
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

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

Estimated Industry Salary
Machine Learning Engineer: $135,000 Data Scientist: $128,000 AI/ML Researcher: $125,000 Software Engineer (AI/ML focus): $130,000
Total compensation (entry to mid-level)
AI Job Growth
0.36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Research Scientist 4. AI Systems Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, IBM, Meta, Tesla, OpenAI, and major consulting firms like McKinsey and Accenture.
Explore AI Career Paths
Program Details
Duration
  • 2.0 Year
Tuition
$ 11,537
Format
Online
Specializations
Artificial Intelligence & Machine Learning
AI Engineering / Applied AI
Official Resources
Program Website
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