Marquette University

How this program compares

Budget-wise, $42K puts this master's program at the 61st percentile on cost — roughly 2% below the $42.9K average across 394 comparable listings. It runs on a full-time, part-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree in electrical engineering, computer engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with prerequisite coursework in linear algebra, probability, programming, and signals/systems.

About This Program

This professional master's program focuses on the theoretical foundations and practical implementations of machine learning and algorithmic analysis within electrical engineering. Most students complete it in about 1.5 years.

At roughly $42K total, Marquette University's Master's in Electrical and Computer Engineering - Machine Learning and Algorithms (Course Option) sits below the $42.9K average among AI master's programs we track — the 61st percentile on price. That puts it in the mid-range on price among comparable programs.

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 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 $130,000.

Design and implement advanced machine learning models for engineering applications.

Career Outcomes

Marquette University positions this master track for Machine Learning Engineer careers — typical offers cluster around $130,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers in engineering ai 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. Algorithms Engineer
• 3. Embedded Systems ML Specialist
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement advanced machine learning models for engineering applications.
• Develop efficient algorithms for data processing in electrical and computer systems.
• Apply optimization techniques to real-world ECE problems like signal processing and control.
• Analyze and evaluate machine learning performance in embedded and hardware-constrained environments.

Curriculum Highlights

The 30-credit non-thesis curriculum features core coursework in algorithms and machine learning, supplemented by technical electives in intelligent systems or neural networks.

Top Employers

Top employers include tech firms like Google, NVIDIA, Intel, and Qualcomm, as well as aerospace and defense companies such as Boeing and Lockheed Martin.

Admissions

Admission to Marquette University's Master's in Electrical and Computer Engineering - Machine Learning and Algorithms (Course Option) 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: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions