University of Illinois Chicago
Online 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 $28.8K in total tuition, the Online Master of Engineering – AI and Machine Learning sits roughly 32% below the $42.4K average for AI master's programs in our database — placing it in the 44th 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 STEM field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, mathematics, and statistics. Professional experience in tech or engineering is preferred but not mandatory.
About This Program
Offered fully online, this program provides an accelerated pathway for working professionals to gain expertise in AI and machine learning technologies. Coursework concentrates on Natural Language Processing (NLP) and Deep Learning. Most students complete it in about 1 year.
Estimated total tuition is $28.8K, below the $42.4K average for AI master's programs in our database and in the 44th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Excel as Machine Learning Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $140,000.
Career Outcomes
Excel as Machine Learning Engineer in Engineering AI with machine learning expertise
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. Data Scientist
- 4. Computer Vision Specialist
What You'll Learn
- Design and implement machine learning models for real-world applications.
- Apply deep learning techniques to process images, text, and sequential data.
- Develop natural language processing systems for human-computer interaction.
- Evaluate ethical implications and societal impacts of AI technologies.
Curriculum Highlights
Delivered in 8-week sessions, the curriculum combines technical mastery with professional development in AI management and leadership.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and Meta, as well as engineering firms and AI startups.
Admissions
A bachelor's degree in engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, mathematics, and statistics. Professional experience in tech or engineering is preferred but not mandatory.
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: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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