The Master's University and Seminary

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 or ACT scores optional but recommended for competitive applicants. Strong background in mathematics (calculus, linear algebra) and programming is advantageous.

About This Program

A computer science program providing a rigorous introduction to AI and its sub-fields, emphasizing core techniques within a framework that reflects on the human brain's design.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Software Developer
• 3. Data Scientist
• 4. Computer Vision Specialist

What You'll Learn

• Design and implement AI algorithms for problem-solving
• Apply machine learning techniques to real-world datasets
• Build and train neural networks for pattern recognition
• Develop intelligent systems using computer vision and NLP

Curriculum Highlights

The program pairs core computer science and mathematics with an AI emphasis featuring specialized courses in machine learning and computer vision.

Top Employers

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

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores optional but recommended for competitive applicants. Strong background in mathematics (calculus, linear algebra) and programming is advantageous.

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+)