MSBA 6998 - Business Analytics Project
Fall 2026 Syllabus, Section A01, CRN 44085,
Credit hours: 3
Course Meeting Times
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Instructor
Xinyi Huang
Email: xhuang@ysu.edu
Course Description
6998. Business Analytics Project. This course serves as the culminating experience in the business analytics program, allowing students to apply the knowledge and skills gained throughout their coursework. Students analyze real-world business problems using data-driven approaches, advanced analytical tools, and visualization techniques. Emphasis is placed on integrating technical, managerial, and communication skills to deliver actionable insights and strategic recommendations to stakeholders. Prereq.: BUS 6930 OR MSBA 6930; BUS 6932 OR MSBA 6932. Prereq. or Coreq.: ECON 6976 OR MSBA 6976. 3 s.h.
Course Readings
| Group | Title | Author | ISBN |
|---|---|---|---|
| Optional | Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking, 1st Edition [DSB] | Foster Provost and Tom Fawcett | 1449361323 |
The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.
Assignments/Assessments
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Schedule of Topics and Assignments
| Week of | Reading(s) | Proposed Topic | Due/To Prepare for Class |
|---|---|---|---|
| 10/19 | Please see the Module 1 Course Material | Module 1: Business Analytics Foundations and Project Planning | Homework 1 due Sunday, 10/18. Discussion 1: initial post Thursday, 10/22; two replies Sunday, 10/25. |
| 10/26 | Please see the Module 2 Course Material | Module 2: Data Preparation and Exploratory Data Analysis | Homework 2 due Sunday, 10/25. Discussion 2: initial post Thursday, 10/29; two replies Sunday, 11/01. Project proposal and summary slide due Thursday, 10/29. |
| 11/2 | Please see the Module 3 Course Material | Module 3: Supervised Learning | Homework 3 due Sunday, 11/01. |
| 11/9 | Please see the Module 4 Course Material | Module 4: Predictive Analytics—Regression | Homework 4 due Sunday, 11/08. Discussion 3: initial post Thursday, 11/12; two replies Sunday, 11/15. |
| 11/16 | Please see the Module 5 Course Material | Module 5: Predictive Analytics—Classification | Project progress presentation due Thursday, 11/19. Peer reviews of two presentations due Sunday, 11/22. |
| 11/23 | Please see the Module 6 Course Material | Module 6: Evaluating Supervised Learning Models | Discussion 4: initial post Thursday, 11/26; two replies Sunday, 11/29. Professional report first draft due Thursday, 11/26. |
| 11/30 | Please see the Module 7 Course Material | Module 7: Integrated Analytics Project | Final presentation video link and PowerPoint slides due Tuesday, 12/01. Final professional report due Thursday, 12/03. |
The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning.