The Department of Accounting and Business Analytics is one of four departments in the Alberta School of Business at the University of Alberta in Edmonton.
In accounting, we offer undergraduate courses that form the basis for an accounting major, with many graduates who pursue careers in professional accounting. We also offer a strong PhD program in accounting.
In business analytics, we offer core and elective undergraduate courses in business statistics, operations, management, and management information systems, which form the basis for majors in business technology management and operations management. At the master's level, we offer MBA courses that support a concentration in business analytics. At the PhD level, we offer a specialization in operations and information systems.
Department Announcements
NEW Course: OM 488 - Prescriptive Analytics
When: Winter 2023, Monday and Wednesday 3:00 PM - 4:20 PM
Instructor: Borzou Rostami
Description: Prescriptive analytics is the process of using data, mathematical programming, and algorithms to determine an optimal course of action to meet organizational goals. This course is designed to provide a foundation of prescriptive analytics for managerial decision making. We take known and unknown (forecasts or predictions) input parameters, transform the business problem into a mathematical model and use optimization solvers and algorithms to find the best solution (that maximize profit or minimize cost) while honoring practical restrictions. Tutorials include teaching the right tools (Python and Gurobi) to run the optimization and simulation algorithms on real-life business problems. Evaluation components will consist of assignments, case studies, group projects, and a midterm exam.
Prerequisites: OM 352
NEW Course: OM 686 - Prescriptive Analytics
When: Winter 2023, Monday 6:00 PM - 9:00 PM
Instructor: Borzou Rostami
Description: Prescriptive analytics is the process of using data, mathematical programming, and algorithms to determine an optimal course of action to meet organizational goals. This course is designed to provide a foundation of prescriptive analytics for managerial decision making. We take known and unknown (forecasts or predictions) input parameters, transform the business problem into a mathematical model and use optimization solvers and algorithms to find the best solution (that maximize profit or minimize cost) while honoring practical restrictions. Tutorials include teaching the right tools (Python and Gurobi) to run the optimization and simulation algorithms on real-life business problems. Evaluation components will consist of assignments, case studies, group projects, and a midterm exam.
Prerequisites: OM 502