Business Analytics and Decision Making
Limitations
Students may complete either the Certificate in Business Analytics and Decision Making or the Certificate in Business Technology Management, but not both certificates.
Additionally, units applied to one certificate may not be applied to another ¶¡ÏãÔ°AV certificate or diploma, as noted here.
Grade Requirements
In addition to normal university grade point average requirements, the Beedie School of Business requires a minimum 2.30 overall ¶¡ÏãÔ°AV Business course grade point average for entry into all 300 and 400 division business courses.
For a course to be accepted as fulfilling a prerequisite, or for a lower division requirement, or for a core course to be accepted in a student's program in business, a student must have obtained a minimum grade of C- (C minus).
Program Requirements
Students must complete a minimum of 27 units, comprised of the following courses from across three concentrations.
Students complete all of
This course is an extension of BUEC 232. It develops and applies the quantitative models that are most directly relevant to business decisions. Beginning with material on multiple regression and forecasting modeling, the course moves on to decision analysis, business simulation, quality control, and an introduction to optimization. Prerequisite: MATH 150, MATH 151, MATH 154, or 157; BUEC 232 or STAT 270; 60 units. Quantitative.
Section | Instructor | Day/Time | Location |
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Jan 3 – Apr 10, 2018: Mon, 2:30–4:20 p.m.
Jan 3 – Apr 10, 2018: Wed, 2:30–4:20 p.m. |
Burnaby Burnaby |
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Jan 3 – Apr 10, 2018: Tue, Thu, 12:30–2:20 p.m.
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Surrey |
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Jan 3 – Apr 10, 2018: Mon, Wed, 5:30–7:20 p.m.
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Burnaby |
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OP01 |
Jan 3 – Apr 10, 2018: Mon, 4:30–7:20 p.m.
|
Burnaby |
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OP02 |
Jan 3 – Apr 10, 2018: Wed, 4:30–7:20 p.m.
|
Burnaby |
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OP05 |
Jan 3 – Apr 10, 2018: Mon, 7:30–10:20 p.m.
|
Burnaby |
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OP06 |
Jan 3 – Apr 10, 2018: Wed, 7:30–10:20 p.m.
|
Burnaby |
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OP07 |
Jan 3 – Apr 10, 2018: Thu, 8:30–10:20 a.m.
|
Surrey |
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OP08 |
Jan 3 – Apr 10, 2018: Thu, 10:30 a.m.–12:20 p.m.
|
Surrey |
Prepares students to model, analyze and propose improvements to business processes. In the major project, students analyze a process within an organization and use current techniques and tools to propose changes and a supporting information system. Prerequisite: BUS 237; 60 units. Students with credit for BUS 394 may not take this course for further credit.
Section | Instructor | Day/Time | Location |
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Jan 3 – Apr 10, 2018: Thu, 10:30 a.m.–12:20 p.m.
|
Burnaby |
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D101 |
Jan 3 – Apr 10, 2018: Thu, 12:30–2:20 p.m.
|
Burnaby |
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D102 |
Jan 3 – Apr 10, 2018: Thu, 2:30–4:20 p.m.
|
Burnaby |
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D103 |
Jan 3 – Apr 10, 2018: Thu, 12:30–2:20 p.m.
|
Burnaby |
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Jan 3 – Apr 10, 2018: Thu, 2:30–4:20 p.m.
|
Surrey |
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D201 |
Jan 3 – Apr 10, 2018: Thu, 4:30–6:20 p.m.
|
Surrey |
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D202 |
Jan 3 – Apr 10, 2018: Thu, 6:30–8:20 p.m.
|
Surrey |
Examines complex, real-world decision making issues using an evidence-based approach that employs decision making strategies involving statistics, data management, analytics, and decision theory. Through a major decision making project within the community, students will experience first-hand the process of consultation, data acquisition, analysis, and recommendation. Prerequisite: BUS 360W, BUS 437, BUS 445, BUS 462, and BUS 464; BUS 345 or BUS 440; 90 units.
Section | Instructor | Day/Time | Location |
---|---|---|---|
Jan 3 – Apr 10, 2018: Tue, 11:30 a.m.–2:20 p.m.
|
Burnaby |
Exposes students to the art of using analytic tools from across the spectrum of data mining and modeling to provide powerful competitive advantage in business. Students will learn to recognize when a method should or should not be used, what data is required, and how to use the software tools. Areas covered include database marketing, geospatial marketing and fundamental strategic and tactical decisions such as segmentation, targeting and allocating resources to the marketing mix. Prerequisite: BUS 343, 336, 360W; 60 units.
Section | Instructor | Day/Time | Location |
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Jan 3 – Apr 10, 2018: Tue, 2:30–5:20 p.m.
|
Burnaby |
Utilizes technology to support analysis and decision making abilities by identifying, analyzing and effectively reporting important business information. Concepts of data warehousing, data mining and visualizing data are introduced. A variety of software applications are used to demonstrate tools and techniques that support analysis and decision making for managers. Prerequisite: BUS 336, 360W; 60 units. Corequisite: BUS 336 can be taken concurrently.
Section | Instructor | Day/Time | Location |
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Jan 3 – Apr 10, 2018: Wed, 9:30 a.m.–12:20 p.m.
|
Burnaby |
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Jan 3 – Apr 10, 2018: Wed, 2:30–5:20 p.m.
|
Burnaby |
Focuses on the design and use of integrated database management systems in organizations. Students create data models for capturing and storing data from business operations, organizing it for deriving business intelligence, aggregating and visualizing the information for decision-making. Structured query language is primarily used for all the above data management activities. Prerequisite: BUS 360W, 362; 60 units.
Section | Instructor | Day/Time | Location |
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Jan 3 – Apr 10, 2018: Thu, 11:30 a.m.–2:20 p.m.
|
Burnaby |
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Jan 3 – Apr 10, 2018: Thu, 2:30–5:20 p.m.
|
Burnaby |
and one of
A course in the management of marketing research. The basics of the design, conduct, and analysis of marketing research studies. Prerequisite: BUS 343, 336; 60 units. Students with credit for BUS 442 may not complete this course for further credit.
Section | Instructor | Day/Time | Location |
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Jan 3 – Apr 10, 2018: Mon, 1:30–5:20 p.m.
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Burnaby |
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Jan 3 – Apr 10, 2018: Thu, 8:30 a.m.–12:20 p.m.
|
Surrey |
Development and use of simulation models as an aid in making complex management decisions. Hands on use of business related tools for computer simulation. Issues related to design and validation of simulation models, the assessment of input data, and the interpretation and use of simulation output. Prerequisite: BUS 336, 360W; 60 units.
Section | Instructor | Day/Time | Location |
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Jan 3 – Apr 10, 2018: Mon, 5:30–9:20 p.m.
|
Burnaby |
and one of
Adopting an experimental approach and being responsive to customer and competitor reactions is an essential skill set to firms and organizations. Situated in the data-rich environment of digital media and channels like websites or search engines, this course is designed to help students develop "probe and learn" skills, which translate beyond web and digital management, and help them acquire hands-on experience in using analytics tools to manage digital marketing campaigns. Prerequisite: BUS 360W, BUS 343; 60 units.
Section | Instructor | Day/Time | Location |
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Jan 3 – Apr 10, 2018: Thu, 2:30–5:20 p.m.
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Burnaby |