University of Illinois Chicago
Master of Engineering - AI and Machine Learning
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $17.1K in total tuition, the Master of Engineering - AI and Machine Learning sits roughly 60% below the $42.4K average for AI master's programs in our database — placing it in the 15th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework in linear algebra, calculus, and probability.
About This Program
The University of Illinois Chicago's Master of Engineering in AI and Machine Learning is an online, professionally focused degree from a major public research university in one of the country's largest tech markets. The curriculum emphasizes applied machine learning for engineers.
UIC's affordability, Chicago location, and engineering focus make it a strong value option for working professionals who want a respected public-university AI credential.
Why students choose it: Affordable, engineering-focused online AI degree from a major Chicago research university.
Career Outcomes
Position as Machine Learning Engineer in Engineering AI with natural language processing expertise
- 1. AI/ML Engineer
- 2. Data Scientist
- 3. Computer Vision Specialist
- 4. Robotics Engineer
What You'll Learn
- Design and implement machine learning models for predictive analytics.
- Build and train deep neural networks for complex data processing.
- Apply computer vision techniques to image recognition and analysis.
- Develop natural language processing systems for text understanding.
- Integrate AI algorithms into engineering systems and robotics.
Curriculum Highlights
The program consists of nine courses covering deep learning, natural language processing, computer vision, and responsible AI practices.
Top Employers
Top employers include Google, Amazon, Microsoft, NVIDIA, and engineering firms like Boeing and Tesla.
Admissions
A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework in linear algebra, calculus, and probability.
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+)
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