Brigham Young 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 strong background in mathematics and science; minimum GPA of 3.0 preferred, SAT/ACT scores optional for many programs.

About This Program

This comprehensive bachelor's program equips students with the theoretical background and technical skills required to design and implement modern machine learning systems.

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. Computer Vision Specialist

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Analyze complex datasets using statistical and algorithmic techniques
• Develop neural networks for pattern recognition and decision-making
• Apply AI principles to real-world problem-solving in software systems

Curriculum Highlights

The 120-credit curriculum features core software construction, advanced machine learning theory, a senior capstone project, and specialized electives in artificial intelligence or natural language processing.

Top Employers

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

Admissions

High school diploma or equivalent with a strong background in mathematics and science; minimum GPA of 3.0 preferred, SAT/ACT scores optional for many 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+)