PA

Master's in AI
On-Campus

Carnegie Mellon University | MS in Intelligent Information Systems

  • Pittsburgh
About This Program

This professional degree focuses on processing and analyzing unstructured information, including text, image, video, speech, and audio data.

Student Reviews
Write a Review
What You'll Learn

Students learn to master content analysis, mining, and intelligent technologies for careers in industry or government research.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure features coursework in machine learning and language technologies, directed study projects, and a group-oriented capstone project.
Typical Course Topics
1. Machine Learning Algorithms 2. Natural Language Processing 3. Intelligent Information Retrieval 4. Data Mining and Knowledge Discovery 5. AI Systems Engineering 6. Deep Learning for Information Systems
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree with a minimum GPA of 3.0, preferably in computer science, statistics, or a related field, is required, along with evidence of undergraduate-level proficiency in programming and mathematics. GRE scores are optional, but strong quantitative preparation is essential.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.5+)

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

Lead as NLP Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
AI Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Systems Engineer 2. Machine Learning Engineer 3. Information Systems Architect 4. Data Intelligence Specialist
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Microsoft, Amazon, and research organizations such as DARPA and national labs.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 70,392
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
Request Information