Bachelor of Science in Business Analytics
A Bachelor of Science in Business Analytics offers a unique blend of statistical, analytical, and business knowledge designed to prepare you to tackle real-world business problems.
Residential classes
Jan
08
next start date
16
week semester
5
year locked-in tuition
Online & night classes
Jan
08
next start date
8
week sessions
$375
undergraduate tuition
Available program formats: Online: BS In class: BS
Harness the power of data for business success
Throughout your studies, you'll explore core business areas while learning to apply various analytical tools and technology. From programming languages to visualization software and statistical packages, you'll gain hands-on experience in leveraging data to drive business success.
As a graduate, you will be equipped to generate practical business solutions, master diverse analytic software, interpret complex data sets, and effectively communicate your findings – all while honing critical thinking and problem-solving skills, making you a valuable asset in any organization.
Discover new possibilities in a data-driven world
The field of Business Analytics is in high demand, offering a vast range of exciting career opportunities. As an analyst, you can make your mark in a variety of professions, from Data and Human Resources to Marketing, Sports Management, Financial, Accounting, and Research.
Our program not only stands as a degree on its own but can be added to an existing degree as a certificate, making it a highly attractive resume builder. You have the option to stack certificates or opt for non-degree seeking paths, which align with the demands of this rapidly growing field.
Columbia College Global offers traditional classroom instruction for many courses at nationwide locations. Students at nationwide locations are expected to engage with multiple learning methods, including online and virtual while completing their degree. Columbia College offers on-campus programs with traditional classroom instruction at the Residential Campus in Columbia, Missouri.
Barry Langford
"[Students will] know how to write and express themselves verbally. They’ll know how to think critically about issues. They’ll be aware of what’s going on currently in the field."
Read about BarryView more faculty profiles
Find your path
Submit this form to get information about applying to Columbia College.
Questions about admissions? Call the main line.
Main line: (573) 875-8700
Want to know more about our programs? Contact the department.
Department phone: 573-875-7535
Office: New 101
Email: BA@CCIS.edu
Your degree starts here Take these courses
Available program formats
- Core requirements 45 credit hours
- Total degree requirements 120 credit hours
Some courses you may take
This course is an introduction to the basic techniques in business data analytics. Topics include: collecting, storing, accessing, and manipulating large datasets, data visualization, predictive analytics, and clustering. Prerequisites: MATH 250 and junior standing.
This course covers the effective use of visual representation for business decision making and problem solving. Students will learn best practices in design and formatting of data in support of business practices. Spreadsheet software and online tools are utilized to incorporate visualizations into effective presentations and reports of analytical data. Prerequisites: ACCT/MGMT 278, CISS 202.
This course examines the use of business intelligence to assist in decision making in an organizational context. Students will learn to use business intelligence software with a focus on Microsoft Power BI. Students will learn to format, transform, and deploy data from a variety of sources in the creation of business dashboards and reports to support data driven decisions. Prerequisites: ACCT/MGMT 278, MGMT 374.
Spreadsheet Modeling and Decision Analysis covers the use of spreadsheet software to create and maintain models to address organizational data analysis needs and solve business problems. Students will learn to leverage spreadsheet tools, functions, and mathematical models to analyze organizational data. Decision analysis techniques including optimization, forecasting, sensitivity analysis, regression, data mining and others are utilized to address business needs in a data informed manner. Prerequisites: MGMT 278, CISS 202.