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 169Z

Managing Business Information (required; formally BA240)

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.