| | Business Information Technology Management (Artificial Intelligence Management Option) | | |
| | ChangeRemoveSave | Add | Add |
| School | British Columbia Institute of Technology | | |
| Location | Burnaby, BC, Canada | | |
| School Type | College | | |
| School Size | Full-time Undergraduate: 18,147
| | |
| Degree | Diploma | | |
| Honours | | | |
| Co-op | | | |
| Length | 2 Year(s) | | |
| Entry Grade (%)* | | | |
| Prerequisites | - Grade12 English
- Grade11 Precalculus or Grade11 Principles of Mathematics
| | |
| Prerequisites Notes | English: two years of education in English in an English-speaking country with one of the following: English Studies 12 (67%) or English First Peoples 12 (67%) or Other acceptable BC and Yukon courses or 3.0 credits of post-secondary English, humanities or social sciences (67%) from a recognized institution
Math: one of the following: Pre-Calculus 11 (67%) or Foundations of Math 11 (67%) or Workplace Math 11 (67%) or Other acceptable BC and Yukon courses or OPMT 0199 - Math for Business (67%) or OPMT 0198 - Business Math Assessment Test (67%)
| | |
| Cost |
Cost shown is for the first year of study. | | |
| Scholarships | | | |
| Description | Artificial intelligence (AI) has been called the new electricity. AI and machine learning (ML) systems are currently being utilized to organize supply chains, manage customer relationships, transfer organizational knowledge, and optimize enterprise resources. According to estimates, up to 47% of current jobs could be automated by AI, robotics, and machine learning systems in the next two decades. Firms have identified that a lack of skilled people make deployment of machine learning capabilities an ongoing challenge. Due to these factors, numerous jobs will become available for managing these systems.
The Business Information Technology Management (BITMAN) – Artificial Intelligence Management (AIM) option will train artificial intelligence/machine learning management knowledge workers for entry-level positions managing AI/ML/business intelligence solutions. This option will focus on AI business models, AI ethics, machine learning for business (supervised learning, neural networks, and deep learning), computer vision, and natural language processing (NLP). | | |
| Next Steps | | | |