The Schulich Master of Business Analytics is an intensive and academically rigorous one year full-time program. It consists of two terms of course work that focus on developing the quantitative and technical skills the industry demands, coupled with the communication skills and strategic mind set to transform data into a competitive asset. The capstone of the program is a Major Research Project in which students focus on hands-on problem driven research, normally while working on a 12 week project with a company.
Students must complete the following to be eligible to graduate from the program:
- 21.00 credits of Required Core Courses
- 12.00 credits of Elective Courses:
- 6.00 credits of quantitative electives
- 6.00 credits of qualitative electives
- 9.00 credits consisting of the Major Research Project
Required Core Courses
Students can choose to specialize in marketing or supply chain management. Alternatively, students can pursue courses within the general stream which provides a large variety of electives to choose from.
|6.00 credits of qualitative courses from the list below.||MKTG 6360 3.00|
|OMIS 6500 3.00|
Global Operations and Information Management
|6.00 credits of quantitative courses from the list below.||MKTG 6050 3.00|
|OMIS 6560 3.00|
Supply Chain Management
|3.00 credits of quantitative elective(s) from the list below.||OMIS 6350 3.00|
Advanced Spreadsheet Modelling and Programming for Business
|Plus one of the following:|
MKTG 6300 3.00
MKTG 6250 3.00
MKTG 6150 3.00
|3.00 credits of quantitative elective(s) from the list below.|
|ECON 6210 3.00 ||Economic Forecasting and Analysis|
|FINE 6310 3.00 ||Econometrics of Financial Markets|
|GS/MATH 6627 3.00 ||Practicum in Statistical Consulting|
|GS/MATH 6633 3.00 ||Introduction to the Theory and Methods of Time Series Analysis|
|GS/MATH 6901 3.00 ||Operations Research II|
|GS/MATH 6910 3.00 ||Stochastic Calculus in Finance|
|GS/MATH 6911 3.00 ||Numerical Methods in Finance|
|MKTG 6050 3.00 ||Marketing Research|
|OMIS 6350 3.00 ||Advanced Spreadsheet Modelling and Programming for Business|
Graduates of the program will:
- Possess the skills required to apply advanced statistical analysis to gather and analyze data.
- Understand customer and transactional data and be able to translate it into more effective customer engagement strategies.
- Acquire the tools to distil big data in a clear and concise manner to support decision making.
- Be proficient in analytics tools, such as SAS.
- Hone presentation, data visualization, and communication skills needed to engage a variety of stakeholders on complex issues.
- Understand how to create value and enhance productivity in specific sectors and functional areas.
- Have an appreciation of theoretical and empirical academic research in business analytics.
- Be exposed to the constraints and opportunities of leveraging business analytics within the context of a real organization.
- Understand the ethical and legal ramifications of data gathering, particularly as they relate to privacy and data security.