Dakota State University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

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.

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+)