Data Analytics in Accounting (Concentration)
Curriculum Guideline
Effective Date:
Program code
SPDAAC
Discontinued
No
Program
Faculty
Commerce & Business Administration
Department
Accounting
Credential type
Concentration
Transcript title
Conc in Data Analytics - ACCT
Date of first offering
Start term
201710
End term
202330
Credits
12.00
Admissions requirements
There are no separate admission requirements for a concentrations, however the student must be enrolled in a Bachelor's degree program in order to complete a concentration.
Curriculum framework
Concentration in Data Analytics in Accounting:
- This concentration is available for any Bachelor's degree student at Douglas College.
- Successful completion of 12 credits; a minimum of two (2) required upper level Accounting courses, one (1) Computer Studies and Information Systems (CSIS) elective course and one (1) eligible elective courses.
- Students who have already taken and received credits for the required and elective course(s) in their Bachelor's degree program can also apply the course(s) towards the requirements for the Concentration.
- Student must maintain a minimum cumulative grade point average (GPA) of 2.33 (C+) for the courses required to earn the concentration.
Course Requirements:
| Course Number | Course Title | Credits |
| Required Courses (6 credits): | ||
| ACCT 3850 | Detecting Accounting Fraud | 3.00 |
| ACCT 3880 | Data Analytics for Managers | 3.00 |
| Select one course from the following three CSIS elective options (3 credits): | ||
| CSIS 3190 | Business Support Systems with Excel | 3.00 |
| CSIS 3360 | Fundamentals of Data Analytics | 3.00 |
| CSIS 3860 | Data visualization | 3.00 |
|
Select one course from the following eligible elective options (3 credits): *If any of these CSIS courses (below) were taken as part of the CSIS elective they cannot be applied again as a eligible elective course. |
||
| ACCT 1222 | Computer Applications for Accounting | 3.00 |
| CRIM 2254 | Research Methods in Criminology | 3.00 |
| CRIM 3325 | Qualitative Research Methods | 3.00 |
| CRIM 3390 | Crime and Intelligence Analysis | 3.00 |
| CSIS 2200 | Systems Analysis & Design | 3.00 |
| CSIS 3190* | Business Support Systems with Excel | 3.00 |
| CSIS 3360* | Fundamentals of Data Analytics | 3.00 |
| CSIS 3860* | Data visualization | 3.00 |
| MARK 4420 | Web Data Analytics | 3.00 |
| Total Credits: | 12.00 | |