Dhillon School of Business
Databases and Data Management in Business
Credit hours: 3.00
Contact hours per week: 3-0-0
This course provides students with essential knowledge of databases and advanced data management techniques within a business context. Students will explore core database concepts, SQL for managing relational databases, and the transition from traditional spreadsheet approaches to modern, scalable database solutions. Emphasizing practical skills, the course covers creating and managing applications, integrating AI technologies to enhance data management, and designing data pipelines. Students gain hands-on experience developing robust, efficient data-driven solutions, equipping them to effectively manage business data, optimize decision-making, and leverage technological advancements in diverse organizational settings.
Prerequisite(s):Second-year standing (a minimum of 30.0 credit hours) AND
One of Management 3062, Accounting 3171 or Human Resources and Labour Relations 3320
Equivalent:Management 4850 (Data, Databases and Applications for Business (prior to 2026/2027)
Data Transformation
Credit hours: 3.00
Contact hours per week: 3-0-0
This course introduces students to programming and data manipulation techniques from and to various formats using Python, designed to solve real-world business analytics problems. It focuses on automating data processing tasks, creating dynamic analytical dashboards, and handling data from diverse formats, including Excel, CSV, JSON, and web-based sources. Through structured mini-projects, students build competencies in Python programming, web scraping, API integration, text manipulation, and communication automation. The curriculum encourages practical application and critical thinking, enabling students to effectively transform raw data into actionable business insights. Students conclude the course with a robust skill set applicable to complex data analytics environments.
Prerequisite(s):Second-year standing (a minimum of 30.0 credit hours) AND
One of Management 3062, Accounting 3171 or Human Resources and Labour Relations 3320
Equivalent:Management 3850 (Data Transformation) (prior to 2026/2027)
Emerging Technologies in Business (Series)
Credit hours: 3.00
Contact hours per week: 3-0-0
Each offering of this course will focus on examining one to two new or emerging technologies in organizations, and giving students hands-on opportunities to learn about the technology and its strategic deployment. Typical topics covered will include critical evaluation of the potential costs and benefits of the technology; how to use the technology to achieve business value; and legal and ethical considerations. Where possible, low code/no-code solutions will be examined, with an emphasis on creative approaches to problem solving with technology.
Prerequisite(s):Second-year standing (a minimum of 30.0 credit hours) AND
One of Management 3062, Accounting 3171 or Human Resources and Labour Relations 3320
Equivalent:Management 3850 (Emerging Technology in Business: AI in the Workplace) (prior to 2026/2027)