Milwaukee School of Engineering

How this program compares

At an estimated $19.9K in total tuition, the Machine Learning Graduate Certificate sits about 81% above the $11.0K average for AI certificate programs in our database — placing it in the 87th percentile on cost among the 180 we track at this level. 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 a STEM field such as computer science, engineering, or mathematics with a minimum GPA of 3.0 is typically required. Relevant coursework or professional experience in programming and statistics is often preferred.

About This Program

A one-year, 100% online program designed for professionals to gain practical AI skills and create data-driven solutions using statistics and computer science. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 0.75 years.

Implement supervised and unsupervised machine learning algorithms for predictive modeling.

Estimated total tuition is $19.9K, above the $11.0K average for AI certificate programs in our database and in the 87th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 25 AI-related programs we track in Wisconsin, of which about 56% offer an online option. On price, it comes in cheaper than about 64% of the Wisconsin programs in our data, where typical tuition runs near $34.7K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Milwaukee School of Engineering positions this certificate track for Machine Learning Engineer careers — typical offers cluster around $120,000. Its focus on Deep Learning and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Specialist
• 4. ML Operations Engineer

What You'll Learn

• Implement supervised and unsupervised machine learning algorithms for predictive modeling.
• Apply deep learning techniques to image recognition and sequence data.
• Process and analyze large datasets using data mining and feature engineering.
• Develop deployable ML models with optimization and evaluation metrics.

Curriculum Highlights

The two-course accelerated sequence focuses on applying machine learning to diverse data types, with credits transferable to the Master of Science in Machine Learning.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and NVIDIA, as well as industries applying ML in healthcare, finance, and manufacturing.

Admissions

Admission to Milwaukee School of Engineering's Machine Learning Graduate Certificate 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: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions