University of South Dakota

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 for most programs.

About This Program

This specialization within the computer science major prepares students for fast-growing fields through hands-on model design and development.

Career Outcomes

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

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

What You'll Learn

• Implement machine learning models for data-driven predictions
• Design algorithms for AI systems and automation
• Analyze AI ethics, bias, and responsible deployment
• Develop software for AI applications in industry domains

Curriculum Highlights

Typical courses include machine learning, data analysis and decision-making, applied statistics, and mathematics specifically for data science and machine learning.

Top Employers

Top employers include Google, Microsoft, Amazon, and tech firms like IBM and NVIDIA.

Admissions

High school diploma or equivalent with a minimum GPA of 2.5–3.0 required; SAT/ACT scores optional for most programs.

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+)