Admission Requirements

Students applying to the Business Analytics Honors Program must meet the following minimum admission requirements:

• Admitted undergraduate Poole major
• B+ or higher in ITAO/BUS 340 or ACC 340
• B+ or higher in ST 350 (or ST 312, 370 or 372)
• B+ or higher in ITAO/BUS 351
• 3.25 or higher overall GPA
• 3.25 or higher major GPA

Qualified students are encouraged to apply to the program via our online application form. The link to the application will be available on this website during our regular application cycles.

Please keep in mind that admission to the Business Analytics Honors program is competitive and based on prior academic achievement. Merely meeting the minimum admissions requirements does not guarantee that you will be admitted.

Conditional Admittance

Students currently enrolled in ITAO/BUS 351 may still apply to the program. Admission decisions will be based on grades earned in ITAO/BUS 340 (or ACC 340) and ST 350 (or ST 312, 370, or 372), as well as the student’s overall and major GPAs. If the student is granted conditional admittance, their GPAs and final grade in ITAO/BUS 351 will be verified at the end of the semester. If the student earns at least a B+ in ITAO/BUS 351 and has maintained at least a 3.25 overall and major GPA, they will be fully admitted into the program. Otherwise, they will no longer be eligible to continue the program and will be removed from any program courses they may have already enrolled in for the following semester.

Students with specific questions about the program and the admission process can email [email protected] for more information.

Program Requirements

Students admitted to the program in Spring 2020 or later will be required to earn a B or higher in the following courses. Students should allow themselves at least 3 semesters to complete the program after being accepted.

• ITAO 440H (formerly BUS 440H) – Database Management [prerequisite: ITAO/BUS 340 or ACC 340] – Offered only in the Spring
• ITAO 458H (formerly BUS 458H) – Analytics: From Data to Decisions [prerequisite: ITAO/BUS 351] – Offered only in the Fall
• ITAO 459H (formerly BUS 459H) – Business Analytics Practicum [prerequisite: ITAO/BUS 458H]
• One analytics elective course (3 credit hours) from the following list: (Not all elective courses will be offered every semester. Students must still meet course prerequisites. Please plan accordingly.)
  • ACC 440 – ERP Systems: Implementing, Risk, and Analytics
  • ACC 459 – Accounting Analytics II: From Data to Decisions (formerly Analytics in Accounting & Finance)
  • FIN 431 (formerly BUS 423) – Advanced Investments
  • FIN 421 (formerly BUS 428) – Advanced Corporate Finance (formerly Financial Analytics)
  • FIN 422 (formerly BUS 429) – Financial Modeling
  • MKT 449 (formerly BUS 469) – Digital Marketing Practicum
  • ITAO 470 (formerly BUS 470) – Operations Modeling and Analysis
  • ITAO 476 (formerly BUS 476) – Decision Modeling and Analysis
  • EC 451 – Econometrics II
  • MIE 437 – Human Resources Analytics
  • Data Science Academy courses (Students that choose this elective need to take 3 credit hours from the topics below.)
    • DSA 205 –  Data Communication
    • DSA 220 – Introduction to AI Ethics
    • DSA 225 – Data Science for Social Good
    • DSA 235 – Introduction to Data Science Cybersecurity
    • DSA 240 –  Measuring Success
    • DSA 295 – AI for Data Science: A No Code Solution
    • DSA 295 – Intro to Network Analysis
    • DSA 405 – Data Wrangling and Web Scraping
    • DSA 406 – Exploratory Data Analysis for Big Data
    • DSA 435 – Predictive Analytics for Improving Services
    • DSA 440 – Introduction to APACHE Spark Using Big Datasets
    • DSA 495 – Natural Language Processing
    • DSA 495 – KNIME Course
    • DSA 495 – Fundamentals of Large Language Models (LLMs)
    • DSA 495-001 – Principles of Quantum Computing Algorithms
    • DSA 495 – Advanced Supervised ML: Using a Visual Interface
    • DSA 495 – Sports Analytics and Forecasting Using R
    • DSA 495 – Algorithmic Fairness and AI Accountability
    • DSA 495-601 – Data Governance for National Security
    • DSA 595 – Text Analytics using Intermediate Python
    • DSA 595 – 001: Bayesian Computations for Machine Learning

Course Enrollment

Students admitted into the Business Analytics Honors program can enroll themselves in the appropriate courses for this program as soon as their enrollment appointment opens, provided there is space. Please keep in mind that the program takes three semesters to complete. Students must meet the course prerequisites for the elective and are encouraged to get on the waitlist if seats are reserved. Non-honors sections will not have seats reserved for honors students. If students have any questions concerning registration, they can email [email protected].

Completing the Program

Completion of the Business Analytics Honors Program will be designated on a student’s transcript after all degree requirements have been met, in addition to the following:

• B or better grade in all required program-level courses
• 3.25 or better major GPA
• 3.25 or better overall GPA

Graduating students will be emailed instructions concerning honor cords and certificates of completion a few weeks prior to commencement.