Bachelor of Science, Minor in Artificial Intelligence and Machine Learning
The Artificial Intelligence and Machine Learning Minor will give learners a solid foundation in machine learning and intelligent algorithms which are essential to the design of intelligent information systems for information processing, data analytics, and data driven complex decision-making in Artificial Intelligence and Machine Learning in business, healthcare, education, humanities, social sciences, interdisciplinary studies, biology, and environmental sciences.
Artificial Intelligence and Machine Learning are in great demand in academia and industry. AU offers several courses on topics related to Artificial Intelligence and Machine Learning. Once you have completed the Bachelor of Science, degree students have the opportunity to apply to the Graduate Certificate in Data Analytics (GCDA).
Specific requirements
In addition to the BSc program general requirements and the specific requirements of the chosen major, a Minor in Artificial Intelligence and Machine Learning involves the completion of 24 credits of core and elective courses.
Core courses
(18 credits)
| MATH 265* – Introduction to Calculus I | (3) |
| or | |
| MATH 270 – Linear Algebra I | |
| COMP 206 – Introduction to Computer Programming (C++) | (3) |
| or | |
| COMP 218 – Introduction to Computer Programming with Python* | |
| or | |
| COMP 268 – Introduction to Computing Programming (Java) | |
| * COMP 218 is highly recommended; however, students taking the Computing and Information Systems Major must choose one of the programming courses (COMP 206, COMP 218, COMP 268) that has not already been completed towards the major. | |
| COMP 272** – Data Structures and Algorithms | (3) |
| or | |
| COMP 372 – Design and Analysis of Algorithms | |
| MATH 315*** – Methods in Applied Statistics | (3) |
| COMP 456 – Artificial Intelligence | (3) |
| COMP 458 – Machine Learning | (3) |
Elective courses
(6 credits)
Students complete a minimum of 6 credits selected from the Science area of study at a junior or senior or graduate level. Students in the Bachelor of Science with a Computing and Information Systems Major, can take up to 2 Athabasca University graduate-level computing courses to fulfill senior-level COMP electives.
Notes:
*Students that have successfully completed either MATH 265 or MATH 270 need to take the course that hasn't been completed. Students that have successfully completed both MATH 265 and MATH 270 can replace the credit with COMP 214: Interactive Technologies or a junior-level programming course.
**Students taking the Applied Mathematics or Human Science Major need to take COMP 272 (unless already successfully completed). Students that are in the Computing and Information Systems Major or students that have already successfully completed COMP 272 need to take COMP 372.
***Students in the Applied Mathematics Major can fulfill the MATH 315 requirement with COMP 372.
Updated June 13, 2024 by Office of the Registrar (calendar@athabascau.ca)