Business Analysis (BANA)

BANA 2372. Business Analysis. 3 Hours. [TCCN: BUSI 2305]

An introduction to the use of business statistics. Topics include: data visualization, descriptive statistics, probability, discrete and continuous distributions, statistical modeling, sampling distributions, and statistical inference.
Prerequisite: MATH 1314 or MATH 1324 or MATH 1410 or MATH 1420.

BANA 3363. Inter Business Analysis. 3 Hours.

This course is a continuation of BANA 2372 and is designed to introduce the use of statistics as a business tool in the face of incomplete knowledge. Students will learn the following topics in this course: estimation, hypothesis testing, analysis of variance, goodness-of-fit measures, correlation, simple and multiple regression.
Prerequisite: BANA 2372 or MATH 1342.

BANA 4080. Independent Study. 3 Hours.

The credit in this course varies according to the work performed. The student may pursue special studies for which a special course is not organized. Variable Credit (1 to 3).
Prerequisite: Departmental approval.

BANA 4085. Special Topics in Business Analytics. 1-3 Hours.

Students explore emerging trends, tools, and applications in the rapidly evolving field of business analytics. The course is designed to be flexible and responsive to current industry developments. Students may engage in hands-on projects, case studies, and discussions that emphasize real-world problem solving and strategic decision-making. The specific focus may vary by semester, allowing students to gain timely, relevant skills that align with market demands and faculty expertise. Credit variable 1 to 3.
Prerequisite: BANA 2372.

BANA 4365. Business & Economic Forecasting. 3 Hours.

Students apply descriptive statistical methods and inferential principles of estimation and hypothesis testing to create and evacuate forecast of business and economic data. Course Equivalents: ECON 4365
Prerequisite: 42 completed hours and ECON 2301 and ECON 2302 and BANA 3363 or MATH/STAT 3379.

BANA 4389. Internship in Business Analytics. 3 Hours.

Students gain practical, hands-on experience applying analytical techniques and tools to real-world business problems. Interns will work with industry partners or within university-affiliated projects to support data-driven decision-making processes. Through this internship, students will gain exposure to data collection, data cleaning, statistical analysis, data visualization, and the use of business intelligence tools.
Prerequisite: Department approval.