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 ABET-accredited program blends core computer science theory with a specialized focus on designing, developing, and analyzing intelligent software systems and machine learning models.

Career Outcomes

Prepare AI Engineer career in Cross-Industry AI with deep learning focus

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Researcher
• 4. Software Engineer (AI focus)

What You'll Learn

• Implement machine learning models for data-driven predictions and automation.
• Analyze AI algorithms and apply them to real-world problems.
• Develop software using programming and data science techniques.
• Understand mathematics, statistics, and ethics in AI systems.
• Design AI applications with awareness of bias and responsible practices.

Curriculum Highlights

The structure consists of a computer science core plus a 12-credit specialization featuring introduction to AI, applications of deep learning, and AI tools and frameworks.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

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+)