IL

Certificates in AI, Master's in AI, PhD in AI
On-Campus, Online

University of Illinois Urbana-Champaign

University of Illinois Urbana-Champaign

  • Chicago
About This Program

A professional, coursework-based master’s degree that provides advanced training in computer science for immediate application in the global technology industry.

Student Reviews
What You'll Learn

Students gain practical skills in software development, systems architecture, and data-driven problem solving across various modern computing domains.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The curriculum features a broad selection of graduate courses in areas such as artificial intelligence, cybersecurity, and high-performance computing.
Typical Course Topics
1. Algorithms and Data Structures 2. Artificial Intelligence and Machine Learning 3. Cloud Computing and Distributed Systems 4. Software Engineering and Design 5. Computer Networks and Security 6. Database Systems and Information Management
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree in computer science or a related field, a minimum undergraduate GPA of 3.0, GRE test scores, and letters of recommendation from professors or employers.[3] International applicants must demonstrate English proficiency through TOEFL (80+) or IELTS (6.5+) scores.[3
Academic Requirements (Typical)

β€’ Degree Required: Master of Science
β€’ GRE: Required
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ 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.

Career Opportunities in AI

Advance as Data Scientist in Cross-Industry AI with cybersecurity expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Software Engineer/Developer: $120,000 Machine Learning Engineer: $135,000 Cloud Architect: $140,000 Data Scientist: $130,000
Total compensation (entry to mid-level)
AI Job Growth
13.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Software Engineer 2. Machine Learning Engineer 3. Cloud Architect 4. Data Scientist
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, Apple, Meta, IBM, and major technology consulting firms.
Program Details
Duration
  • 1.5 Year
Tuition
  • 19,840
Format
On-Campus, Online
Specializations