ACCT 3340 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. Please note that if students take ACCT3340, they cannot also take ACCT6040 or ACCT8840 for credit.
Course overview
- Department
- Accounting
- School
- CSOM
- Credits
- 3
- Level
- Undergraduate
- Offered
- Every Spring
Catalog details
Requirements fulfilled
- Accounting: Accounting Department Electives (Current University Catalog; students should confirm their catalog year)
- Accounting for Finance & Consulting: Approved concentration elective options (Current University Catalog)
- Accounting for CPAs: Accounting Department Electives (Current University Catalog; students should confirm their catalog year)
- Accounting for Finance and Consulting: Electives (6 credit hours from the following list) (Current University Catalog; students should confirm their catalog year)
Course evaluations
- Course rating
- 4.03 / 5 · Very Good
- Instructor rating
- 4.33 / 5 · Very Good
- Terms evaluated
- 2
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Miao Liu | 3.9 | 4.2 | 4.5 | 4.5 | 4.5 | 4.3 | 4.5 | 4.0 | 4–6 hrs/week | 38 of 45 |
| Spring 2025 | Miao Liu | 4.2 | 4.5 | 4.3 | 4.3 | 4.5 | 4.3 | 4.7 | 4.2 | 1–3 hrs/week | 31 of 34 |