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: High school diploma or equivalent with a minimum GPA of 2.5-3.0 required; SAT/ACT scores optional but recommended for competitive admission.

About This Program

This undergraduate program provides a strong technical background in the existing and emerging fields of artificial intelligence, preparing graduates for roles in machine learning engineering and AI research.

Career Outcomes

Launch Machine Learning Engineer career in Cross-Industry AI with deep learning focus

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI/ML Researcher
• 4. Software Engineer

What You'll Learn

• Apply a wide array of AI algorithms to solve problems across domains
• Analyze and implement machine learning models with ethical considerations
• Develop software and programming solutions for AI systems
• Use mathematics and statistics to comprehend and innovate AI methods
• Perform data analysis and predictive modeling for decision-making

Curriculum Highlights

The 120-credit curriculum covers predictive analytics, computer science fundamentals, mathematical foundations of AI, deep learning, and specialized AI tools and frameworks.

Top Employers

Top employers include Google, Microsoft, Amazon, IBM, and tech firms developing AI solutions.

Admissions

High school diploma or equivalent with a minimum GPA of 2.5-3.0 required; SAT/ACT scores optional but recommended for competitive admission.

Application Materials

• Statement of Purpose: Optional
• Letters of Recommendation: Optional
• Resume: Optional
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)