Business Analytics (B.S., B.A.)
The degree of Bachelor of Science (B.S.) in Business Analytics focuses on the use of data analysis and statistical methods to inform business decision-making. This program covers key areas predictive modeling, and data visualization, equipping students with the skills to extract, analyze, and visualize data to solve business problems.
| Required Courses | 41-44 hours |
|---|---|
| MATH 1100 College Algebra or higher not including the courses below *See below | 3-5 hours |
Statistics course (Choose from:)
| 3-4 hours |
| DATA 1200 Excel and SQL Programming | 4 hours |
| DATA 1350 Introduction To Data Analytics | 4 hours |
| ACCT 1310 Principles of Accounting I | 3 hours |
| ACCT 1320 Principles of Accounting II | 3 hours |
| ECON 1540 Microeconomic Principles | 3 hours |
| ECON 3350 Introductory Econometrics | 3 hours |
| BUSAD 2300 Business Communication | 3 hours |
| BUSAD 2450 Career Navigation & Exploration In Analytics** | 3 hours |
| BUSAD 2460 Business Analytics I** | 3 hours |
| BUSAD 3560 Business Analytics II** | 3 hours |
| BUSAD 4970 Business Internship | 3 hours |
| Capstone | 3 hours |
|---|---|
| BUSAD 4460 Practicum** | 3 hours |
*A department-approved math course: MATH 1100 College Algebra, or MATH 1600 Calculus II.
**This course is offered remotely via SM论坛's partnership with a Consortium. The partnership allows students to earn SM论坛 credit for specific courses. Classes are designed by top academics and industry leaders, vetted by SM论坛, and taught by experts in the field.
This is an introduction to the basic accounting model and the framework for developing financial statements. The major focus is on the study of generally accepted accounting principles as they apply to the measurement of income and the presentation of a firm's financial position.
(Normally offered each semester.)
The role of accounting in the formation and capitalization of corporations is studied. Other topics include cash flow, analysis and interpretation of financial statements, and basic managerial accounting.
Prerequisite(s): Grade of "C-" or better in ACCT 1310 Principles of Accounting I.
(Normally offered each semester.)
An introduction to descriptive and inferential statistics. Topics include gathering, organizing, interpreting, and presenting data with emphasis on hypothesis testing as a method for decision making in the fields of business and economics. Procedures include z-tests, t-tests, ANOVAs, correlation, and simple regression.
Cross listed with ECON-2100.
Prerequisite(s): Demonstrated proficiency in high school algebra or permission of the instructor.
(Normally offered each semester.)
This course will review the basics of effective oral and written communication and apply these basics to business writing and presentations. A variety of individual and collaborative projects, including memos, letters, and reports, will emphasize the process of drafting, revising, and editing business communications.
Prerequisite(s): Accounting, Business Administration, Business Analytics, Cybersecurity, Economics, International Business, or Sport Management major.
Each student must work with the department internship coordinator to obtain a business-related internship related to the specific area of emphasis or interest of the student. This course presents each student the opportunity for work-related application of business interest. Under special circumstances, a second internship may be taken for credit with the approval of the business department chair and the internship coordinator.
No Pass/Fail.
Prerequisite(s): Junior standing or permission of the department internship coordinator.
(Normally offered each semester.)
A study of managing, manipulating, and summarizing data using Excel and SQL. Topics in Excel include, but are not limited to: functions, filters, charts and visualizations, pivot tables, and macros. Topics in SQL include, but are not limited to: queries, joins, and basic database management.
(Normally offered every spring semester.)
An introduction to data analytics from three perspectives: inferential thinking, computational thinking and real-world relevance. Topics include, but are not limited to: organizing real-world data by filtering, sorting, and using pivot tables; exploring data; visualizing data; using programming tools to analyze data through a statistical lens. Statistical topics include: center and spread of data, descriptive statistics, inferential statistics, regression, causality, classification and prediction.
(Normally offered every fall semester.)
An examination of the microeconomic theories, problems, and policies of the U.S. economy. Topics include the theory of the firm, market structures, and current economic issues such as income distribution, antitrust policy, poverty, the farm problem, and international trade.
Prerequisite(s): ECON 1530 Macroeconomic Principles strongly recommended.
(Normally offered each semester.)
This course offers an introduction to the methodology and estimation of econometric models. We will do basic econometrics analysis, including simple and multiple regression analysis, ordinary least squares, binary models, cross section and time series analysis, hypothesis testing, model selection and specification, and data problems.
Prerequisite(s): ECON 1530 Macroeconomic Principles or ECON 1540 Microeconomic Principles and BUSAD 2100/ECON-2100 or similar statistics class from another department.
A study of functions from algebraic, graphical, numerical and modeling perspectives. The functions are chosen from among linear, polynomial, rational, exponential and logarithmic.
Prerequisite(s): Math ACT score of at least 21.
(Normally offered each semester.)
An introduction to statistics concepts with an emphasis on applications. Topics include descriptive statistics, discrete and continuous probability distributions, the central limit theorem, confidence intervals, hypothesis testing, and linear regression.
(Normally offered every semester.)
An introduction to calculus of a single variable. Topics include limits, continuity, differentiation, and beginning integration with applications. Assignments are given that help build proficiency in the use of a computer algebra system.
Prerequisite(s): Math ACT score of at least 27, or a grade of "C" or better in MATH 1470 Trigonometry or MATH-1400, or permission of the instructor.
(Normally offered each semester.)
This course introduces students to the core tools and techniques used to analyze political systems and public policy through a data-driven approach. Students will learn to apply research methods, policy analysis
frameworks, and statistical tools to real-world political and policy challenges. With a strong emphasis on applied data analysis, the course equips students with the skills to collect, clean, visualize, and interpret data using modern software and analytical techniques. Designed as a foundational course, it is ideal for students interested in political science, public policy, data analysis, or evidence-based decision-making.
(Normally offered each spring semester.)
An introduction to descriptive and inferential statistics as decision-making guides in psychology and related fields. Topics include organization, analysis, presentation, and interpretation of data with emphasis on the hypothesis testing model of inference. Specific procedures include z-tests, t-tests, analysis of variance, and correlation. A laboratory section is required for computational experience.
Prerequisite(s): PSYCH 1010/PSYCH 1010FYW Introduction to Psychological Science and sophomore standing.
Recommended: College level mathematics course.
(Normally offered each semester.)
In this course students are introduced to descriptive and inferential statistics and their applications to sociological research. Statistical procedures include central tendency measures, variability, t-test, one-way ANOVA, correlation, regression, and chi square. The course also includes specific training in using SPSS for analysis.
Prerequisite(s): SOC 1110 Introduction to Sociology.
(Normally offered each spring semester.)