The Bachelor of Business Administration in Business Analytics (BBA in BSAN) will prepare you to work in the expanding fields of business analytics and intelligence. You’ll learn how to transform data into insights that drive strategies for better decision making. In the program, you’ll also learn how to collect, organize, analyze, and interpret data using the latest techniques and technology, preparing you for a career in the global workplace.
Specialized courses include data visualizations, big data, data mining, and a business internship that will allow you to exercise your training in real-world application.
Develop in-demand IT and analytics skills to become a valued asset to a business or corporation as you study how to harness data to increase customer satisfaction and revenue streams.
- BSAN 242 – Introduction to Programming
An introduction to object-oriented programming through the Python and R programming environment. Emphasis is placed on event-driven programming by creating and manipulating objects then classes. Learning is geared toward data mining application.
2. BSAN 275 – Data Visualizations
Building on the foundation from the Principles of Data Analytics course, this course explores how to communicate the results of data analytics tests. One of the most important components to successful adoption of data analytics is the ability to communicate and that requires a mindset that thinks beyond just the data. It requires the ability to communicate a clear message, achieve a purpose, and the ability to drive action.
3. BSAN 311 – Systems Analysis and Design
Introduction to the techniques of problem definition, determination of system requirements, and design of computer applications. Emphasis on the development life cycle, cost determination, data requirements, and systems documentation.
4. BSAN 341 – Database Management
A study of database concepts, database design, data models, query language facilities, and related topics. The main emphasis is on the relational data model with introduction and overview of non-relational databases included.
5. BSAN 325 – Business Applications and Ethics
Success in analytics requires an open mind and multiple perspectives. It also requires an understanding of the risks of misuse of data through presentations, as well as models. This course will examine how analytics is applied in the world today. Using case studies from business, media, sports, and others, students will learn how analytics and the analytics process is applied more broadly than just in the boardroom. Students will be challenged to apply analytics to a variety of situations and illustrate the ways in which analytics can help solve problems across disciplines, while also articulating the risks and challenges associated. Special emphasis will be placed upon ethical decision making within the Christian worldview.
6. BSAN 350 – Big Data
A study of techniques and tools used to manipulate large quantities of structured and unstructured data referred to as Big Data. Special emphasis is placed on Google Analytics and other data manipulation tools such as Alteryx and PowerBI.
7. BSAN 401 – Data Mining
A study of data mining practices and techniques using current business mining tools. Introduction and exploration of the SAP enterprise resource planning environment is emphasized.
8. BSAN 425 – Business Analytics Capstone
This serves as the capstone course to the Data Analytics Certificate program. It is designed to evaluate your ability to put in practical application all that you have learned through the other three courses in this program. This course does not utilize required weekly reading or assignments. Rather, it is a comprehensive full-term project. You will be assigned a group for this project. The project for this term will focus on answering a question, solving a problem, or accomplishing an objective related to a data set provided. Essentially, it will test your ability to apply analytics in a business context.
9. BUSN 498 – Business Internship
Internship experience in an organization, emphasizing skills in the student's major area of study. Prerequisites: 12 hours of business courses or Junior/Senior status, GPA 2.5 or above, and permission of academic advisor and Department Chair.
- Market Research Analyst
- Data Scientist
- Survey Researcher
- Business Management Analyst