Accounting Analytics

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.