Illinois Institute of Technology

How this program compares

At an estimated $55.5K in total tuition, the Master of Engineering in AI for Computer Vision and Control sits about 29% above the $42.9K average for AI master's programs in our database — placing it in the 73rd 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, or a related field with a minimum GPA of 3.0 is required, along with coursework in programming, linear algebra, and calculus. Relevant experience in AI or machine learning is preferred.

About This Program

A professional master's program that prepares students to overcome technical challenges in core AI frameworks, signal processing, and computer vision systems. Most students complete it in about 1.5 years.

It is one of 35 AI-related programs we track in Illinois, of which about 34% offer an online option. On price, it comes in higher than about 51% of the Illinois programs in our data, where typical tuition runs near $71.7K.

Graduates frequently move into roles such as Computer Vision Engineer, with reported salaries around $140,000.

Design and implement computer vision algorithms for image recognition and object detection.

At roughly $55.5K total, Illinois Institute of Technology's Master of Engineering in AI for Computer Vision and Control sits above the $42.9K average among AI master's programs we track — the 73rd percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

The Master of Engineering in AI for Computer Vision and Control at Illinois Institute of Technology (Chicago, Illinois) is oriented toward Computer Vision Engineer hiring, with alumni reporting pay near $140,000. Its focus on Computer Vision 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. Computer Vision Engineer
• 2. Robotics Controls Engineer
• 3. AI Systems Architect
• 4. Machine Learning Specialist for Autonomous Systems

What You'll Learn

• Design and implement computer vision algorithms for image recognition and object detection.
• Apply deep learning models including CNNs to process visual data.
• Develop AI-based control systems for robotics and autonomous systems.
• Optimize reinforcement learning techniques for dynamic control environments.

Curriculum Highlights

This 30-credit-hour program includes core courses in digital signal processing, control systems, and machine learning, with access to state-of-the-art labs.

Top Employers

Top employers include tech companies like Google, NVIDIA, Tesla, and Boston Dynamics.

Admissions

Admission to Illinois Institute of Technology's Master of Engineering in AI for Computer Vision and Control 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