Milwaukee School of Engineering

How this program compares

Milwaukee School of Engineering's MS in Machine Learning lists about $53.0K total tuition — about 24% above the $42.9K AI master's average (71st percentile in our data). 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, mathematics, or a related field with strong grades in linear algebra, calculus, and programming is required. Relevant work experience or coursework in machine learning is often preferred.

About This Program

An online master's program focused on the development and deployment of production-quality machine learning systems for industrial problems. Most students complete it in about 1.5 years.

Budget planners should note $53.0K estimated total tuition (71st percentile among AI master's programs, above the $42.9K average). 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 higher than about 80% 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.

Design and implement supervised and unsupervised machine learning models.

Career Outcomes

Milwaukee School of Engineering positions this master track for Machine Learning Engineer careers — typical offers cluster around $120,000. Its focus on Machine Learning and AI Engineering / Applied AI 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. AI Research Scientist
• 3. Data Scientist
• 4. NLP Specialist

What You'll Learn

• Design and implement supervised and unsupervised machine learning models.
• Apply deep learning techniques to complex datasets.
• Develop algorithms for scalable machine learning systems.
• Analyze and optimize models using statistical methods and Bayesian inference.

Curriculum Highlights

This 32-credit degree includes core courses in AI tools, deep learning, cloud computing, machine learning production systems, and a final capstone project.

Top Employers

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

Admissions

Admission to Milwaukee School of Engineering's MS in Machine Learning generally expects a bachelor's degree. The GRE is optional 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