University of Miami

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 3.0 preferred; SAT/ACT scores are optional for most programs.

About This Program

This program provides a technical foundation in data science and artificial intelligence for students seeking careers in industrial research. It emphasizes the formal mathematical and statistical basis for these technologies.

Career Outcomes

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

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. AI Specialist
• 4. Data Analyst

What You'll Learn

• Develop machine learning models for data prediction and analysis
• Apply AI algorithms to solve real-world problems
• Analyze large datasets using statistical and computational methods
• Design data pipelines and algorithms for scalable AI systems

Curriculum Highlights

The structure includes core computer science courses, rigorous mathematics requirements, and specialized electives. Topics cover machine learning, advanced artificial intelligence, and data structures.

Top Employers

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

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores are 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+)