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 31% above the $42.4K average for AI master's programs in our database — placing it in the 74th percentile on cost among the 531 we track at this level.

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. Coursework concentrates on Computer Vision and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

Estimated total tuition is $55.5K, above the $42.4K average for AI master's programs in our database and in the 74th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Thrive as Computer Vision Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Computer Vision Engineer, with reported salaries around $140,000.

Career Outcomes

Thrive as Computer Vision Engineer in Engineering AI with machine learning expertise

• 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

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.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)