South 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

An ABET-accredited undergraduate program that combines core computer science theory with a specialized focus on designing, implementing, and evaluating AI-driven solutions across various domains.

Career Outcomes

Begin Machine Learning Engineer career in Cross-Industry AI with machine learning focus

• 1. Machine Learning Engineer
• 2. AI Software Developer
• 3. Data Scientist
• 4. AI Research Analyst

What You'll Learn

• Implement machine learning models for predictive analytics and pattern recognition.
• Design and optimize AI algorithms using data structures and statistical methods.
• Apply deep learning techniques to real-world problems like image recognition and natural language processing.
• Evaluate AI systems for ethical implications, bias, and responsible deployment.

Curriculum Highlights

The structure blends core programming, algorithms, and data structures with specialized coursework in machine learning, intelligent vision systems, and multimodal learning frameworks.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and companies in data analytics and automation sectors.

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+)