Oakland University

How this program compares

Budget-wise, $11.4K puts this certificate program at the 66th percentile on cost — about 4% above the $11.0K average across 180 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, statistics, engineering, or a related field with a minimum GPA of 3.0 is required; relevant programming or analytics experience is often preferred.

About This Program

This 7-week online certificate program equips engineers and working professionals with foundational skills in cloud-based machine learning. Coursework concentrates on MLOps/AI Engineering and Deep Learning. Most students complete it in about 0.13 years.

It is one of 26 AI-related programs we track in Michigan, of which about 69% offer an online option. On price, it comes in cheaper than about 96% of the Michigan programs in our data, where typical tuition runs near $50.2K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $115,000.

Apply machine learning models to real-world datasets for predictive analytics.

Budget planners should note $11.4K estimated total tuition (66th percentile among AI certificate programs, above the $11.0K average). Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

Oakland University positions this certificate track for Machine Learning Engineer careers — typical offers cluster around $115,000. Its focus on MLOps/AI Engineering and Deep Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 35% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Data Analytics Engineer
• 2. Machine Learning Specialist
• 3. Cloud Data Scientist
• 4. Business Intelligence Analyst

What You'll Learn

• Apply machine learning models to real-world datasets for predictive analytics.
• Deploy scalable data pipelines and analytics workflows on cloud platforms.
• Perform advanced data processing and visualization for actionable insights.
• Optimize ML algorithms for performance in cloud environments.

Curriculum Highlights

The program is organized into three modules covering Python basics, TensorFlow model building, and cloud environment deployment.

Top Employers

Top employers include tech firms like Google, Amazon, Microsoft, and IBM for cloud analytics and ML roles.

Admissions

Admission to Oakland University's Certificate in Data Analytics and Machine Learning on Cloud generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions