IL

Master's in AI
Online

University of Illinois Chicago | Master of Engineering in AI & ML

  • Chicago
About This Program

This graduate program focuses on the practical application of AI, emphasizing real-world tools and projects over theoretical research.

Student Reviews
Write a Review
What You'll Learn

Students learn to implement deep learning models and natural language processing techniques to solve immediate industrial and corporate problems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The course of study includes nine specialized modules in machine learning, computer vision, and the ethical use of AI.
Typical Course Topics
1. Math Fundamentals for AI Engineers and Data Scientists 2. Machine Learning and Deep Learning 3. Natural Language Processing (NLP) 4. Image Analysis and Computer Vision 5. AI Ethics and Responsible AI 6. Applied Data Science and MLOps
Program Specializations:
Natural Language Processing (NLP)
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Advance as Machine Learning Engineer in Cross-Industry AI with natural language processing expertise

Estimated Industry Salary
AI/ML Engineer: $120,000 Machine Learning Engineer: $125,000 Data Scientist: $115,000 AI Research Engineer: $128,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Systems Engineer 3. Data Scientist 4. AI Research Scientist
Top AI Employers (Industry-Wide):
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.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 19,656
Format
Online
Specializations
Natural Language Processing (NLP)
Deep Learning
Official Resources
Program Website
Request Information