Data has proliferated in business as organizations generate large volumes of information within their day to day operations while increasingly having access to externally created information as well.
Data science applied to accounting data can help organizations understand the implications for decision-making and provide better insights. You might delve into company sales data, purchasing data, contracts, or company disclosures to help solve a variety of business problems.
In the data science domain area of accounting analytics, you will learn to search for relationships between different variables and outcomes they influence, driving business decisions and informing success.
Domain Requirements
You will take three accounting analytics domain core courses and four courses from the electives menu.
Accounting Analytics Core Courses (all three required)
| course | title | quarter offered* |
|---|---|---|
| BA 101 | Introduction to Business | Fall, Winter, Spring |
| BA 215 | Accounting: Language of Business Decisions | Fall, Winter, Spring |
| EC 201 | Introduction to Economic Analysis: Microeconomics | Fall, Winter, Spring |
Accounting Analytics Electives (choose one in addition to BA 240, ACTG 350 & ACTG 480)
| course | title | quarter offered* |
|---|---|---|
| BA 240 | Managing Business Information (required) | Fall, Winter, Spring |
| ACTG 350 | Intermediate Accounting I (required) | Fall, Winter |
| ACTG 480 | Accounting Data Analytics I (required) | Fall, Spring |
| ACTG 610 | Accounting Data Analytics III (Capstone) | Spring |
| OBA 455 | Data Driven Predictive Modeling | Winter, Spring |
*Course schedules are subject to change.