Carnegie Mellon University

Overview

The Master’s program in Artificial Intelligence and Innovation at Carnegie Mellon University equips students with the skills to design and implement AI solutions that meet pressing business and societal challenges. This program blends advanced machine learning and AI engineering with a focus on innovation, product development, and practical commercialization strategies.

What you'll study

The curriculum encompasses core learning areas such as AI engineering, machine learning, and applied innovation. Course offerings and their sequencing may differ by term and academic year.

• AI Engineering
• Machine Learning
• Natural Language Processing
• Deep Learning
• AI Innovation
• Artificial Intelligence and Future Markets
• Market Intelligence
• Entrepreneurship / Intrapreneurship
• Capstone / Applied Project (project-based requirement)

Additional components may include workshops and coding-focused training to enhance practical skills.

• Coding Bootcamp (foundational practical training)
• Elective Options (available based on degree plan)

Entry requirements

Academic background

• Applicants should possess a relevant bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related discipline.
• A solid foundation in programming and quantitative coursework is essential.

GPA

• A minimum GPA requirement applies, generally expected to be around 3.0.

English language proficiency

• TOEFL iBT: minimum 102
• IELTS: minimum 7.5

Standard application materials

• GRE scores (if required for the academic year)
• Unofficial transcripts from all universities attended
• Current resume
• Statement of Purpose
• Three letters of recommendation
• Short video (1–3 minutes)

Note: Specific deadlines and any test-score waivers may vary; confirm the official dates for the program.

Career prospects

Upon completing the degree, graduates may be eligible to pursue employment opportunities in the United States through relevant post-study work authorization pathways. Eligibility varies based on individual circumstances and the prevailing immigration regulations at the time of application.

• Common pathway: Many graduates may apply for employment authorization through the Optional Practical Training (OPT) process.
• Duration: OPT is typically granted for a limited duration post-graduation, with potential extensions available for STEM-related fields, subject to meeting the program and employer requirements.
• Eligibility factors: Generally, applicants must have completed their degree requirements, maintained valid student status, and submitted the OPT application within designated time frames.
• Employer requirements: For STEM extensions, employers must meet specific criteria.