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Our data analytics concentration will give you the tools to understand how data is collected, prepared, stored, analyzed, modeled, and visualized so you can help drive sound business decisions. Data is more available than ever because of the internet, social media, automated data collection tools, and large information databases. And businesses need skilled professionals capable of utilizing these vast quantities of raw data in a systematic, organized way. You’ll explore four types of data analytics—descriptive, diagnostic, predictive, and prescriptive—to be able to determine what happened in the past and why, to gain the tools to understand what may happen in the future, and to help understand what actions to take to support effective decision-making. You’ll be prepared to serve in a high-demand field in various roles—data analyst, business analyst, intelligence analyst, market research analyst, and more.

You need to have 60 credits to start this program. Your enrollment counselor can help you explore your options for obtaining credits, including taking courses in our associate degree programs.


Fully Online

You'll complete 100% of your coursework online.

Location: Online

Start Dates: Courses start every 6 weeks. Contact your enrollment counselor for details.


  • Business Analytics (BUSN315)

    Execution of the business analytics process. Measuring of uncertainty using statistical analysis tools. Summarizing of data using methods of descriptive statistics. Application of predictive analytics tools. Development of competency in software used in the field of business analytics. Articulation of ethical issues in business analytics from a Christian or personal perspective.

    3 credits

  • Introduction to Business Programming (BUSN318)

    Exploration of the evolution and categories of programming languages. Application of testing and debugging techniques. Use of object-oriented programming and dynamic scripting languages. Connection of programming languages to the language of the Bible using a Christian or personal worldview.

    3 credits

  • Business Database Management (BUSN325)

    Explanation of data modeling, the role of Enterprise Information Management, and database security issues and solutions. Description of data control with integrity. Application of SQL data querying techniques. Application of data warehouse, data mining and data visualization concepts in relation to database management.

    3 credits

  • Business Analysis for Decision Making (BUSN331)

    Demonstrate an understanding of the Business Analysis Knowledge Areas defined by the Business Analysis Body of Knowledge (BABOK) Guide. Connect business analysis codes of conduct and other ethical principles to a Christian or personal worldview.

    3 credits

  • Predictive Data Analytics (BUSN426)

    Explore how predictive analytics is used to understand customers, products, channels, and business partners. Build predictive models from historical data and use statistical tools to translate business problems into predictive analytics problems. Distinguish between various machine learning techniques and transform data into actionable information using machine learning techniques.

    3 credits