Oakland 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, data science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant programming or analytics experience is often preferred for certificate programs.

About This Program

This certificate program focuses on the practical application of machine learning and MLOps within a cloud-based framework.

Career Outcomes

Gain machine learning skills to advance as MLOps Engineer in Cross-Industry AI

• 1. Machine Learning Engineer
• 2. Data Analyst
• 3. MLOps Specialist
• 4. AI Deployment Engineer

What You'll Learn

• Build and evaluate machine learning models for predictive analytics
• Implement MLOps pipelines for continuous model training and deployment
• Analyze large datasets using advanced statistical and visualization tools
• Optimize AI systems for production environments and scalability

Curriculum Highlights

The structure includes modules on Python programming, machine learning fundamentals, and end-to-end model training and scaling.

Top Employers

Top employers include tech firms like Google, Amazon, Microsoft, and data-driven companies in finance, healthcare, and manufacturing.

Admissions

A bachelor's degree in computer science, data science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant programming or analytics experience is often preferred for certificate programs.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)