Boise State 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 minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission.

About This Program

This interdisciplinary degree integrates strengths across computer science, human-computer interaction, and data sciences to prepare students for developing robust AI systems.

Career Outcomes

Enter Deep Learning Engineer career in Cross-Industry AI with natural language processing focus

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

What You'll Learn

• Design and implement machine learning models for real-world applications.
• Analyze data using statistics and algorithms to build intelligent systems.
• Apply ethical principles to AI development, addressing bias and fairness.
• Develop software for AI applications including natural language processing and computer vision.

Curriculum Highlights

The curriculum includes foundational mathematics for AI, natural language processing, machine learning, and a two-semester capstone project addressing real-world problems.

Top Employers

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

Admissions

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

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+)