California Miramar 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: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in linear algebra and statistics is preferred.

About This Program

Led by industry experts, this graduate program immerses students in the practical application of AI theory, focusing on real-world scenarios and technological innovation.

Career Outcomes

Excel as AI Engineer in Cross-Industry AI with machine learning expertise

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

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Develop deep neural networks for image recognition and computer vision tasks.
• Build natural language processing systems for text analysis and chatbots.
• Apply ethical frameworks to AI decision-making and bias mitigation.

Curriculum Highlights

The 10-course curriculum blends theoretical instruction with hands-on projects in deep learning, generative models, and reinforcement learning for diverse industry domains.

Top Employers

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

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in linear algebra and statistics is preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)