AI and Machine Learning
Course Requirements
Major Academic Plan
Career Paths
*Hours are Credit : Lecture : Lab
Important
- ** Please note that MATH 320 and CS 235 will fulfill all pre-requisites for CS 240, CS 472, CS 474, and CS 580. To get an add code for your class, please contact Lynnette Nelson lnelson@cs.byu.edu
- This list will be updated regularly with courses that may fulfill this concentration. If you feel a class may complete one of the required courses, please contact the ACME Committee.
A double major in this field for Computer Science or Statistics will also be accepted.
AI & Machine Learning Concentration Recommended Schedules
Each concentration has 2 MAPs (Major Academic Plans); one for students who have completed MATH 113 (Start with EMC2) and those who have not (Start with Math 112).
AI & Machine Learning: EMC2
- It is recommended that you take the classes highlighted in blue as part of the EMC2 program (see EMC2.byu.edu). This schedule assumes credit for MATH 112 and 113 whether through transfer, AP or BYU credit.
AI & Machine Learning: No Prior Calculus Credit
After graduation, students have gone into the both the workforce and graduate programs. The following table shows some of the career paths our graduates have followed:
Job Title | Master's Degree Subject |
Business Analyst Data Analyst Data Engineer/Scientist Machine Learning Engineer Software Engineer | Computer Science Mathematics |