University of Illinois Chicago

How this program compares

Budget-wise, $19.7K puts this master's program at the 25th percentile on cost — roughly 54% 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 computer science, engineering, mathematics, or a related technical field is required, along with a minimum GPA of 3.0. Applicants should demonstrate foundational knowledge in programming and mathematics; relevant work experience in technology is preferred but not mandatory.

About This Program

This graduate program focuses on the practical application of AI, emphasizing real-world tools and projects over theoretical research. Coursework concentrates on Natural Language Processing (NLP) and Deep Learning. Most students complete it in about 1 year.

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 cheaper than about 80% of the Illinois programs in our data, where typical tuition runs near $71.7K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $128,000.

Design and deploy machine learning models using Python and contemporary ML frameworks for real-world applications[5].

Budget planners should note $19.7K estimated total tuition (25th percentile among AI master's programs, below the $42.9K average). That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

The Master of Engineering in AI & ML at University of Illinois Chicago (Chicago, Illinois) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $128,000. Its focus on Natural Language Processing (NLP) and Deep Learning 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. AI Systems Engineer
• 3. Data Scientist
• 4. AI Research Scientist

What You'll Learn

• Design and deploy machine learning models using Python and contemporary ML frameworks for real-world applications[5]
• Develop deep learning systems for computer vision, natural language processing, and autonomous systems[2]
• Apply ethical AI principles and responsible ML practices to address bias, interpretability, and security in AI systems[2]
• Evaluate AI system performance through rigorous experimental design and implement secure MLOps pipelines[3]

Curriculum Highlights

The course of study includes nine specialized modules in machine learning, computer vision, and the ethical use of AI.

Top Employers

Top employers in AI and machine learning include Google, Microsoft, Amazon, Apple, Meta, IBM, and NVIDIA, along with startups and research institutions focused on AI development.

Admissions

Admission to University of Illinois Chicago's Master of Engineering in AI & ML 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