Business Data Analytics (BDA)
Department of Economics and Finance, Gordon S. Lang School of Business and Economics
The Minor in Business Data Analytics focuses on developing quantitative competencies expected to structure and analyze data sets. There is an emphasis on applying techniques to big data problems.
Learning Outcomes
Upon completion of the Minor in Business Data Analytics students will be able to:
- Critically analyze business and economic data using computer programming and data structures techniques. This LO gives students the foundational computer skills to analyse big data which would be a great compliment to any field that generates large data sets.
- Critically analyze economic data using statistical particularly econometric techniques. This LO gives students the foundational econometrics techniques to analyse data appropriately.
- Assess and evaluate a business or economic data case or research issue. This LO helps students synthesis data in a particular situation
- Effectively present and communicate conclusions/data analysis in both oral and written format. This LO helps students present their work in a meaningful way.
Minor Requirements (Honours)
A minimum 4.00 credits is required (3.00 required credits, plus 1.00 credits of restricted electives)
Code | Title | Credits |
---|---|---|
Required Courses | ||
ECON*2770 | Introductory Mathematical Economics | 0.50 |
ECON*3740 | Introduction to Econometrics | 0.50 |
MGMT*3140 | Business Analytics | 0.50 |
CIS*1300 | Programming | 0.50 |
or CIS*1500 | Introduction to Programming | |
ACCT*2290 | Accounting Information Systems and Data Analytics | 0.50 |
or MCS*2020 | Information Management | |
Select 0.50 credits from the following: | ||
ECON*2740 | Economic Statistics | 0.50 |
STAT*2040 | Statistics I | 0.50 |
STAT*2060 | Statistics for Business Decisions | 0.50 |
STAT*2080 | Introductory Applied Statistics I | 0.50 |
STAT*2120 | Probability and Statistics for Engineers | 0.50 |
STAT*2230 | Biostatistics for Integrative Biology | 0.50 |
Restricted Electives | ||
Select 1.0 credits from the following: | ||
ACCT*4290 | IT Auditing and Data Analytics | 0.50 |
CIS*2500 | Intermediate Programming | 0.50 |
CIS*2520 | Data Structures | 0.50 |
ECON*4640 | Advanced Econometrics | 0.50 |
FARE*4360 | Marketing Research | 0.50 |
FIN*4100 | Financial Econometrics | 0.50 |
MATH*3240 | Operations Research | 0.50 |
MATH*4240 | Advanced Topics in Modeling and Optimization | 0.50 |
MCS*3030 | Research Methods | 0.50 |
MCS*3500 | Marketing Analytics | 0.50 |
MGMT*4140 | Advanced Business Analytics | 0.50 |
REAL*3810 | Real Estate Market Analysis | 0.50 |
SPMT*4140 | Advanced Sport Analytics | 0.50 |
STAT*3240 | Applied Regression Analysis | 0.50 |
STAT*4000 | Statistical Computing | 0.50 |
Note: Not all restricted elective courses identified in this list will necessarily be open to all students in the minor in Business Data Analytics. Some courses may have priority access restrictions, or may be limited to students enrolled in the major from which the courses are drawn. In some cases a Course Waiver Request form signed by the instructor may be required in order for students to add these courses to their schedule. Please consult with the department offering the course about possible access. Some courses may also have prerequisites which are identified in course descriptions in the academic calendar.