Program code
SPDAAC
Discontinued
No
Program
Faculty
Commerce and Business Administration
Department
Accounting
Credential type
Concentration
Transcript title
Conc in Data Analytics in ACCT
Date of first offering
Start term
202630
End term
Not Specified
Credential
Concentration
Credits
12.00
Admissions requirements
There are no separate admission requirements for this concentration; however, the student must be enrolled in the Bachelor of Business Administration program in order to complete this concentration.
Curriculum framework
Concentration in Data Analytics in Accounting:
- This concentration is available to students enrolled in the Bachelor of Business Administration (BBA) program at Douglas College.
- Successful completion of 12.00 credits including a minimum of 6.00 credits at the upper-level (3000-level or higher).
- A minimum program GPA of 2.00.
Course Requirements:
| Course Number | Course Title | Credits |
| Select two courses from the following options: | ||
| ACCT 3850 | Detecting Accounting Fraud | 3.00 |
| ACCT 3880 | Data Analytics for Managers | 3.00 |
| ACCT 4880 (see note 1) | Applied External Audit | 3.00 |
| Select one course from the following options: | ||
| CSIS 1175 | Introduction to Programming I | 3.00 |
| CSIS 1280 | Multimedia Web Development | 3.00 |
| CSIS 2200 | Systems Analysis & Design | 3.00 |
| CSIS 2260 | Operating Systems | 3.00 |
| CSIS 2270 | Virtualization and Computer Networking | 3.00 |
| CSIS 2300 | Database I | 3.00 |
| CSIS 3200 | Applied Knowledge Management | 3.00 |
| CSIS 3290 | Fundamentals of Machine Learning in Data Science | 3.00 |
| CSIS 3360 | Fundamentals of Data Analytics | 3.00 |
| CSIS 3860 | Data Visualization | 3.00 |
|
Select one course from the following options: |
||
| ACCT 3421 | Cryptocurrency Accounting & Taxation | 3.00 |
| ACCT 4880 (see note 1) | Applied External Audit | 3.00 |
| CRIM 3390 | Crime and Intelligence Analysis | 3.00 |
| MARK 4420 | Digital Analytics | 3.00 |
| PHIL 2201 | Logical Reasoning | 3.00 |
| Total Credits | 12.00 |
|
Notes:
1) While ACCT 4880 appears in more than one list of program courses, it may be counted toward program requirements only once.
Learning outcomes
At the end of the program, the successful student will be able to:
- analyze financial data to identify patterns, anomalies, and trends that inform strategic business decisions and risk assessment;
- differentiate between various data visualization techniques and their appropriateness for communicating specific accounting insights to different stakeholder audiences;
- evaluate the reliability and validity of data sources and analytical methods used in financial reporting and auditing contexts;
- assess the ethical implications of data collection, analysis, and reporting practices in accounting, considering privacy, bias, and professional standards;
- critique existing accounting information systems and recommend data-driven improvements based on organizational needs and industry best practices;
- develop interactive dashboards and reports that synthesize financial and operational data to support evidence-based decision-making for management.