Student in the data analytics class.

Data analytics

Bachelor of Science

Analyze important data

As a data analytics major, you will learn how to find, gather and analyze data to find the trends and information. You'll also learn how to use the data you find to make informed business decisions. Lynn's data analytic's program is unique and uses a project-based approach to analyze complex, real-world problems. Here, you will learn to think analytically, develop creative problem-solving skills and leverage business intelligence to encourage data-driven decision making.

What you'll learn as a data analytics major

  • Data analytics fundamentals
  • Data mining, visualization and programming
  • Advanced business intelligence

Curriculum & requirements

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Career opportunities

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Estimated annual tuition

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Data analytics curriculum

This program uses a project-based approach. Students in this program will learn how to gather and analyze data, which can then be used to inform best practices and move the organization toward its strategic vision.

Course preview

ISM 320 Data Visualization
This course introduces the practical concepts of graphic design related to data visualization and interactive design through short hands-on projects. With the advent of powerful data-mining technologies, engineers in all disciplines are increasingly expected to be conscious of the interaction between massive quantities of information. This course is specifically designed with business leaders in mind, as it focuses on their knowledge and provides a powerful tool to communicate ideas. Course topics include: cognitive load theory, communication design and the identification of “chart junk”, graphical integrity and optimization of data-ink in multivariate data sets, infographics, vector graphics, and interactive data visualization using JavaScript, HTML, CSS and GeoMapping. Students will also learn Tableau and PowerBI.

ISM 420 Data Programming
In this course students will learn how to program for data science using the most up-to-date software. In addition to learning the basics of syntax, variables and operations, students will learn how to handle complex data structures such as vectors, matrices, data frames and lists. Students will dive deeper into the graphical capabilities of the software to create stunning visualizations. Additionally, students will continuously practice their new skills through interactive coding challenges to solve real-world data problems.

ISM 421 Advanced Business Intelligence
In this course students will learn how to use business applications involving explanatory and response variables requiring advanced statistical models that go beyond inferential tools such as confidence intervals and hypothesis testing. Students will learn to use advanced multivariate regression analysis and residual diagnostics, logistic regression, analysis of variance (ANOVA) and multiple analysis of variance (MANOVA), time series modeling and analysis of categorical variables. Students will use advanced statistical packages such Excel, Python, R and/or SPSS to complete various projects including computation and graphing. It is assumed that students have mastery of introductory statistics topics including descriptive tools, inference and ordinary least squares.

Data analytics jobs

The skills you learn can help place you with local and regional companies for internships and job opportunities. In fact, many of our alumni have gone on to intern and work in a variety of successful companies, including:

  • ADT
  • Cendyn
  • Jarden Consumer Solutions
  • Modernizing Medicine
  • JM Lexus
  • Tesla
  • Walgreens
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