Last Updated on December 7, 2023
The emergence of big data and cognitive technologies will be the new norms of future business analytics in organizations. Governments and industries revolutionize their operations by optimizing such disruptive technology as strategic assets in their effective decision-makings. While such deployment creates exponential opportunity, future employees must acquire comprehensive managerial knowledge and, leadership skills in the trending management of big data and artificial intelligence. These analytics competencies will maximize the vast potential of expanding data opportunities to prescribe value adding needs of the customers and business environment towards organization competitive advantage.
The Master of Science in Business Analytics with Artificial Intelligence Management concentration is designed for students to understand the science behind Artificial Intelligence (AI) and the metrics to measure success with an organization. This program covers Artificial Intelligence in various businesses contexts to leverage AI in current business practices. This program will enable students to gain knowledge and competencies in AI oriented systems and embed intelligent-driven decisions within an organization. Students will grasp AI managerial skills and comprehensive knowledge from various management perspectives, all while learning the trends and technologies available to tackle challenges in Artificial Intelligence Management.
Mode of Delivery
Courses will be delivered over a 10-week period in regular terms (Fall, Winter and Spring), and 6-week period in the Summer session. Classes are held on weekdays from 4:30 pm to 9:30 pm. Each 3-credit course will consist of 45 contact hours of lectures and other learning activities. Assessments are conducted outside the contacts hours. Each ‘Thesis’ course will be delivered over a period of ten weeks.
Number of Credits
The total credit hours required to complete the program is 36 credit hours. These include five 3-credit hour common core courses, three 3-credit hour major-specific courses, two 3-credit hour major-specific elective courses, and a 6-credit hour individual major-specific Thesis.
Program Learning Outcomes
Students who complete this program successfully will be able to:
| MSBA – General Learning Outcome (GLO) | |
| GLO1 | Critically appraise current issues in Business Analytics. |
| GLO2 | Critically examine large data sets within organizational contexts. |
| GLO3 | Critically assess wide range of appropriate technology that transform new and abstract data in problem-solving solutions. |
| GLO4 | Critically evaluate current research in advanced problem-solving that is used to interrogate large data sets. |
| MSBA – Artificial Intelligence Management Learning Outcomes (AILO) | |
| AILO1 | Compare recent Artificial Intelligence management applications to recommend strategic business solution/s. |
| AILO2 | Integrate Artificial Intelligence management applications to address changing business needs. |
| AILO3 | Discover independent learning strategies to extend professional knowledge of Artificial Intelligence management, relating to changing innovations, research, ethics, and standards. |
Program Structure
Students who complete this program successfully will be able to:
| Core Courses (all required for graduation) | |
| BUS 8401 | Analytics in Business |
| BUS 8402 | Research Methods for Business Analytics |
| BUS 8403 | Maths and Statistical Foundations for Analytics |
| BUS 8404 | Optimization & Decision Systems |
| BUS 8405 | Machine Learning |
| Major Specific Core Courses (all required for graduation) | |
| AIM 8601 | Applied Artificial Intelligence |
| AIM 8602 | AI Business Application |
| AIM 8603 | AI Strategy and Change |
| Thesis Courses (all required for graduation) | |
| AIM 8918 | Individual Consultancy Thesis I (Proposal) |
| AIM 8919 | Individual Consultancy Thesis II (Final) |
| Major Specific Elective Courses (two required for graduation) | |
| AIM 8604 | AI Innovation and Entrepreneurship |
| AIM 8605 | AI in Society |
| AIM 8606 | AI Ethics and Policies |
| AIM 8607 | AI Boardroom Analytics |
