Oakland University

How this program compares

At an estimated $11.4K in total tuition, the Data Analytics and Machine Learning (ML Ops) Certificate sits roughly 0% below the $11.4K average for AI certificate programs in our database — placing it in the 63rd percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

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. Coursework concentrates on MLOps/AI Engineering and Deep Learning. Most students complete it in about 0.13 years.

Estimated total tuition is $11.4K, below the $11.4K average for AI certificate programs in our database and in the 63rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Gain machine learning skills to advance as MLOps Engineer in Cross-Industry AI Graduates frequently move into roles such as MLOps Engineer, with reported salaries around $120,000.

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+)