University of Massachusetts Amherst

How this program compares

Budget-wise, $25.6K puts this master's program at the 35th percentile on cost — roughly 40% below the $42.9K average across 394 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 electrical engineering, computer engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with prerequisite coursework in programming, linear algebra, and probability.

About This Program

This concentration provides in-depth study of the systems and methods forming the foundations of AI, machine learning, and data science. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

It is one of 27 AI-related programs we track in Massachusetts, of which about 56% offer an online option. On price, it comes in cheaper than about 73% of the Massachusetts programs in our data, where typical tuition runs near $58.9K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $130,000.

Design and implement machine learning models for real-world engineering applications.

Budget planners should note $25.6K estimated total tuition (35th percentile among AI master's programs, below the $42.9K average). That puts it in the mid-range on price among comparable programs.

Career Outcomes

The MS in Electrical and Computer Engineering - Artificial Intelligence and Machine Learning Systems Concentration at University of Massachusetts Amherst (Amherst, Massachusetts) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $130,000. Its focus on Artificial Intelligence & 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 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Systems Architect
• 3. Embedded AI Specialist
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement machine learning models for real-world engineering applications
• Optimize AI systems for hardware constraints in electrical and computer platforms
• Apply deep learning techniques to signal processing and computer vision tasks
• Develop intelligent systems using reinforcement learning and neural architectures

Curriculum Highlights

The curriculum features courses in machine learning for IoT, hardware design for ML, neural networks, and computer architecture.

Top Employers

Top employers include tech giants like Google, NVIDIA, Intel, and companies in robotics and autonomous systems.

Admissions

Admission to University of Massachusetts Amherst's MS in Electrical and Computer Engineering - Artificial Intelligence and Machine Learning Systems Concentration 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