Miami University

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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 3.0 preferred; SAT or ACT scores are optional but recommended for competitive applicants.

About This Program

This pioneering undergraduate degree prepares students for AI careers by integrating technical expertise with domain-specific application areas.

Career Outcomes

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

• 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 predictive analytics
• Develop neural networks for pattern recognition and decision-making
• Apply AI algorithms to process and analyze large datasets
• Build intelligent systems using techniques like reinforcement learning

Curriculum Highlights

The 124-credit program includes core courses in data structures, algorithms, machine learning, and deep learning, complemented by a student-selected application area.

Top Employers

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

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores are optional but recommended for competitive applicants.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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+)