ACCT 6040 AI Applications in Business: Insights from Corporate Data

This new course is designed to uncover the transformative role of AI in today's business landscape. Drawing from real-world interactions with industry leaders from FinTech startups to hedge funds, the course highlights the growing integration of AI tools into business operations and the critical demand for professionals adept in these technologies. Students will engage with a vast array of corporate data, including financial statements, annual reports, stock prices, media articles, and entrepreneurial pitches. The course covers AI techniques such as machine learning, natural language processing, and large language models such as ChatGPT, demonstrating their application to practical business scenarios. Participants will learn to evaluate firms' climate change exposure, predict market attention shifts, assess systematic market risk, forecast entrepreneurial success, and more, using AI to turn complex data into actionable business insights. This journey equips students with the skills to harness AI's potential in the ever-evolving business world. No prior programming is assumed. You'll learn to orchestrate AI tools with guided templates and leverage LLMs as your on-demand coding assistant. STEM-Designated. Please note that if students take ACCT6040, they cannot also take ACCT8840 or ACCT3340 for credit.

Course overview

Department
Accounting
School
CSOM
Credits
3
Level
Both
Offered
Every Spring

Catalog details

Prerequisites
ACCT1021 or MCAC1021 or ACCT7701

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
3.90 / 5 · Very Good
31 responses
Instructor rating
4.14 / 5 · Very Good
31 responses
Terms evaluated
1
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026Miao Liu3.94.14.44.24.34.14.43.84–6 hrs/week31 of 38

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Miao Liu
    Spring 2027, Spring 2026 · Official rating 4.14/5

Sections

  • Section 01
    Spring 2027 · Miao Liu · Fulton Hall 230 TuTh 03:00PM-04:15PM · Offered