Course Overview
This course emphasizes analytical techniques and concepts that results in broadly applicable solutions to business problems. The course introduces decision making under uncertainty from a computational perspective and provides an overview of the necessary tools for building autonomous and decision-support systems. Following an introduction to probabilistic models and decision theory, we will cover computational methods for solving decision problems with model uncertainty and imperfect state information. Students will develop data-driven predictive models when faced with uncertainty in business. Presents an advanced course in the application of statistical methods to business problems. Statistics provide techniques for interpreting data, permitting managers to use information to answer larger questions. We will be focusing on topics such as Regression, Time Series Analysis, and Forecasting. Extensive lab work using computer software will lead to theoretical solutions. Students will interpret and apply these solutions as a guide to practical management action.
Prerequisite(s)
- Acceptance into the Bachelor of Business Administration program.
Credits
4.0
Registration requirements
Departmental approval is required to register for this course. You must have approval from the department to register. Students accepted into a program can register directly.
Domestic fees
$945.03
International fees are typically 3.4 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Develop and apply data driven frameworks to modern business problems.
- Use time series forecasting methods to assist in making business decisions.
- Use linear regression to forecast or model business situations.
- Evaluate the validity of predictive models in business situations.
- Select the most appropriate method for forecasting or modelling in a given situation.
- Analyze, interpret, and apply the meaning of the coefficients and statistics generated by different mathematical models.
- Analyze business mathematical models using software.
- Use decision trees, EMV, and risk analysis approaches to inform the decision making process.
- Convert theoretical solutions into practical management terms.
Effective as of Winter 2022
Related Programs
Data and Decisions (BABI 8800) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
School of Business + Media
- Bachelor of Business Administration
Bachelor of Business Administration Full-time/Part-time
Course Offerings
Fall 2026
Below is one offering of BABI 8800 for the Fall 2026 term.
CRN 48472
Dates
Sep 08 - Dec 15 Loading
- CRN 48472
- $945.03 Domestic fees
Class meeting times
Duration
15 weeks
Instructor
Leslie Major
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Important information
- Enrollment is restricted to students accepted into the Flexible Learning (formerly Part-Time) BBA Degree Program. Registration approval is automatically given upon acceptance into the program. This is an online asynchronous course. Assignments/quizzes will be due at specific times during the week, but there is no weekly face-to-face with the instructor at a given time. The midterm exam will be held at the Burnaby campus on Saturday, October 24th.
Confirmation
Required
To proceed with registration and add this course to the cart, please confirm:
No approval yet? Request approval You must have approval from the department to register. Students accepted into a program can register directly.
Status
If you have any questions about this course, please contact us.
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.