IL

Master's in AI
On-Campus

University of Illinois Urbana-Champaign

MS in Computer Science

  • Champaign
About This Program

A research-oriented master’s degree designed for students seeking advanced technical expertise in computer science or preparation for doctoral-level studies.

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What You'll Learn

Students gain deep knowledge of computing theory, research methodologies, and specialized technical domains such as systems, theory, or artificial intelligence.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program requires coursework across diverse breadth areas, including architecture, AI, and theory, culminating in a required supervised master's thesis.
Typical Course Topics
1. Algorithms and Data Structures 2. Artificial Intelligence 3. Machine Learning 4. Cloud Computing 5. Software Engineering 6. Computer Networks
Program Specializations:
Computer Vision
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science or related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework in areas like calculus and discrete mathematics.
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: 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

Excel as AI Research Scientist in Cross-Industry AI with technical AI expertise

Estimated Industry Salary
Software Developer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
15.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Software Engineer 2. Machine Learning Engineer 3. Data Scientist 4. Systems Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 49,422
Format
On-Campus
Specializations
Computer Vision
MLOps/AI Engineering
Official Resources
Program Website
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