University of Michigan‑Ann Arbor

How this program compares

At an estimated $29.1K in total tuition, the Master of Engineering (MEng) in Data Science and Machine Learning sits roughly 32% below the $42.9K average for AI master's programs in our database — placing it in the 43rd percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree in engineering, computer science, mathematics, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages and coursework in linear algebra, calculus, probability, and statistics.

About This Program

This professional graduate degree is designed for engineers seeking to enter industry with specialized technical expertise. It focuses on the theory and practice of modern sensing and decision systems. Coursework concentrates on Data Science & Intelligent Systems and AI Engineering / Applied AI. Most students complete it in about 1 year.

Design and implement machine learning models for predictive analytics and decision-making.

Estimated total tuition is $29.1K, below the $42.9K average for AI master's programs in our database and in the 43rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

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 65% of the Michigan programs in our data, where typical tuition runs near $50.2K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.

Career Outcomes

The Master of Engineering (MEng) in Data Science and Machine Learning at University of Michigan‑Ann Arbor (Ann Arbor, Michigan) is oriented toward Data Scientist hiring, with alumni reporting pay near $130,000. Its focus on Data Science & Intelligent Systems 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. Data Scientist
• 3. AI Systems Engineer
• 4. Data Analytics Specialist

What You'll Learn

• Design and implement machine learning models for predictive analytics and decision-making.
• Apply deep learning techniques to process unstructured data like images and text.
• Analyze large-scale datasets using statistical methods and data mining.
• Build scalable AI systems for real-world engineering applications.

Curriculum Highlights

The highly structured program requires 26 credits, emphasizing hands-on projects and design. The curriculum includes core courses in estimation, filtering, and detection alongside technical electives and leadership training.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as McKinsey and Deloitte.

Admissions

Admission to University of Michigan‑Ann Arbor's Master of Engineering (MEng) in Data Science and 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