Brigham Young University

How this program compares

Brigham Young University's BS in Computer Science - Machine Learning lists about $43.7K total tuition — roughly 51% below the $89.8K AI bachelor's average (34th percentile in our data). It runs on a full-time schedule (on-campus).

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. Coursework concentrates on Natural Language Processing (NLP) and Deep Learning. Most students complete it in about 4 years.

Design and implement machine learning models for predictive analytics.

Budget planners should note $43.7K estimated total tuition (34th percentile among AI bachelor's programs, below the $89.8K average). That puts it in the mid-range on price among comparable programs.

It is one of 11 AI-related programs we track in Utah, of which about 36% offer an online option. On price, it comes in higher than about 73% of the Utah programs in our data, where typical tuition runs near $41.2K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

The BS in Computer Science - Machine Learning at Brigham Young University (Provo, Utah) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Natural Language Processing (NLP) and Deep Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Brigham Young University's BS in Computer Science - Machine Learning generally expects a high school diploma. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Optional
• Letters of Recommendation: Optional
• Resume: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions