Data Analytics in Accounting (Concentration)
Overview
Specialize your BBA in Accounting with the Data Analytics in Accounting concentration. You’ll gain the skills necessary to analyze financial statements, design and create interactive financial models, track new and existing data, communicate your insights to management and become a part of the decision-making process.
With Forbes saying that the “global consumption of data over the next three years will surpass all of what we’ve produced and consumed in the last 30,” the demand for data analysts is growing rapidly with this trend.
Admissions Requirements
There are no separate admission requirements for a concentrations; however, the student must be enrolled in a Bachelor of Business Administration program in order to complete this concentration.
Cost
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Program Requirements
PROGRAM REQUIREMENTS
Concentration in Data Analytics in Accounting:
- This concentration is available for any Bachelor of Business Administration 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 1175 | Introduction to Programming I | 3.00 |
| CSIS 1280 | Multimedia web development | 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 | Fundementals 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 eligible elective options (3 credits): |
||
| ACCT 1222 | Computer Applications for Accounting | 3.00 |
| CRIM 3390 | Crime and Intelligence Analysis | 3.00 |
| CSIS 2200 | Systems Analysis & Design | 3.00 |
| MARK 4420 | Web Data Analytics | 3.00 |
| PHIL 2201 | Logical reasoning | 3.00 |
| Total Credits: | 12.00 |
|
To complete the program efficiently, students need to:
1) Make note of courses that are not offered every term to adjust their plans accordingly and
2) Take all pre-requisites prior to attempting to register for a given course.
* Note: some courses require pre-quisites that are not part of the Concentration requirements.
Program Guidelines
Program Guidelines for previous years are viewable by selecting the version desired. If you took this program and do not see a listing for the starting semester / year of the program, consider the previous version as the applicable version.