Course descriptions are available in the academic catalog.
Academic CatalogCertificate completion requires enrollment in four graduate level courses (a total of 12 credit hours) to immediately leverage skills and concepts learned upon certification.
Course Number |
Course Name |
BUS 6010 |
Graduate Business Foundations I: MBA Math Foundations (non-credit) |
BUS 6860 |
Data Analytics |
BUS 6870 |
Quantitative Analysis with R |
BUS 6880 |
Data Visualization |
BUS 6890 |
Leading a Data-Driven Organization |
Course Descriptions
BUS 6010 Graduate Business Foundations I: MBA Math Foundations (PreREquisite for all courses)
Intensive focus on accounting, finance, economics, and statistics to equip students with overview of fundamental background knowledge and skill-sets essential for success in FSC MBA program and career. Students acquire and apply concepts quickly with high level of competency.
BUS 6860 Data Analytics
Today’s business environment is both highly complex and competitive. Businesses collect a vast array of data. Knowing how to use this data (to understand the business, address important business questions, and to improve the business) is a critical skill to any successful business manager. This course provides students with an opportunity for hands-on work with data collection, data manipulation and exploration, predictive analytics, decision under uncertainty, and analytics tools.
BUS 6870 Quantitative Data Analysis with R
This course introduces the basic concepts of data analysis and statistical computing, using the R programming language, both increasingly used in the social sciences and the humanities. The emphasis is on the practical application of quantitative reasoning, data analysis, and visualization. The goal is to provide students pragmatic tools for assessing statistical claims and conducting their own basic statistical analyses. Topics covered include descriptive statistics, measures of association, sampling and sample size estimation, random variables and probability, correlation testing, hypothesis testing, and confidence intervals. These analytic techniques and tools are widely applicable to a myriad of industries and business contexts. A thorough understanding of statistics will be emphasized.
BUS 6880 Data Visualization
This course focuses on the art and science of turning data into readable graphics. The course will begin with an understanding and application of exploratory data analysis which is the first critical step in the data analysis and modeling workflow, and it most always helps to refine an analyst’s research question. Then the course will explore how to design and create data visualizations based on data available and tasks to be achieved. This process includes data modeling, data processing (such as aggregation and filtering), mapping data attributes to graphical attributes, and strategic visual encoding based on known properties of visual perception as well as the task(s) at hand. Students will also learn to evaluate the effectiveness of visualization designs, and think critically about each design decision. Students will create data visualizations using data visualization tools such as Tableau or an equivalent. Students will also read academic and non-academic papers in the visualization literature and will create video presentations of their findings.
BUS 6890 Leading a Data-Driven Organization
Effective leaders should understand how to capitalize on the wealth of data available to them in order to successfully manage people and processes. This course introduces students to concepts important to effective data-driven management.
The Post-Baccalaureate Business Analytics Certificate is not associated with certification or licensure through any national agency.