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Program Overview
Artificial Intelligence Program
The Artificial Intelligence program at Carnegie Mellon University is designed for students who want to develop the AI of tomorrow. The program focuses on transforming large amounts of data into actionable decisions, with a curriculum heavy on computer science, math, statistics, computational modeling, machine learning, and symbolic computation.
Program Description
The program prepares students to make a difference in fields like healthcare, transportation, and education. Students will take classes in computer science, math, statistics, computational modeling, machine learning, and symbolic computation, balanced with courses in ethics and social responsibility to ensure that their work makes a positive impact on the world.
Degree Offered
- Bachelor of Science: Built for those who want to develop the AI of tomorrow, this program focuses on transforming large amounts of data into actionable decisions.
Curriculum
The curriculum includes classes in:
- Computer science
- Math
- Statistics
- Computational modeling
- Machine learning
- Symbolic computation
- Ethics and social responsibility
Post-Graduation Statistics
- 97% of graduates are employed or in graduate school six months after graduation.
- $147,250 is the average salary of graduates.
Recent Employers
- Amazon
- Meta
- Goldman Sachs
High School Course Requirements
- 4 years English
- 4 years Mathematics*
- *Four years of mathematics should include at least algebra, geometry, trigonometry, analytic geometry, elementary functions (pre-calculus) and preferably calculus. Advanced mathematics courses are encouraged, especially a course in calculus.
- 1 year Physics
- 2 years Chemistry, Biology, or Computer Science
- 2 years Foreign Language
- 3 electives
Interdisciplinary Approach
Carnegie Mellon University has been mixing it up for decades, offering students the opportunity to pursue their interests in a variety of fields, including science, art, technology, and more. The university encourages students to explore different disciplines and find the right mix for their interests and career goals.