Data Analytics in Accounting (Concentration)

Program Overview

The Data Analytics in Accounting concentration at Douglas College equips students with the skills to analyze financial data, detect fraud, and utilize data analytics for decision-making. The program includes required courses in accounting and data analytics, as well as elective options in computer science and other relevant fields. Graduates are prepared for careers in data analytics, business analysis, and accounting management.

Program Outline

Degree Overview:

Overview:

• The Data Analytics in Accounting concentration is open to all Bachelor of Business Administration students at Douglas College.
• The concentration requires the successful completion of 12 credits, including at least two required upper-level Accounting courses, one Computer Studies and Information Systems (CSIS) elective course, and one eligible elective course.
• Students must maintain a minimum cumulative grade point average (GPA) of 2.33 (C+) for the courses required to earn the concentration.

Objectives:

• To provide students with the skills necessary to analyze financial statements, design and create interactive financial models, track new and existing data, and communicate their insights to management, enabling them to become part of the decision-making process.

Description:

• The concentration prepares students for the rapidly growing field of data analytics, where the global consumption of data is projected to surpass all data produced and consumed in the past 30 years.
• The program equips students with the expertise to detect accounting fraud, utilize data analytics for managerial decision-making, and apply computer programming and data analysis techniques to accounting and business problems.

Outline:

Program Content and Structure:

Required Courses (6 credits):

• ACCT 3850 Detecting Accounting Fraud
• ACCT 3880 Data Analytics for Managers

CSIS Elective Course (3 credits):

• Students must select one course from the following CSIS elective options:
• CSIS 1175 Introduction to Programming 1
• CSIS 1280 Multimedia web development
• CSIS 2260 Operating systems
• CSIS 2270 Virtualization and computer networking
• CSIS 2300 Database I
• CSIS 3200 Applied knowledge management
• CSIS 3290 Fundamentals of machine learning in data science
• CSIS 3360 Fundamentals of Data Analytics
• CSIS 3860 Data Visualization

Eligible Elective Course (3 credits):

• Students must select one course from the following eligible elective options:
• ACCT 1222 Computer Applications for Accounting
• CRIM 3390 Crime and Intelligence Analysis
• CSIS 2200 Systems Analysis & Design
• MARK 4420 Web Data Analytics
• PHIL 2201 Logical reasoning

Teaching:

Careers:

Potential Career Paths and Opportunities:

• Data Analyst
• Business Analyst
• Financial Analyst
• Accounting Manager
• Auditor