Know Business Math for the Business World
Business intelligence and data analytics are no longer the domain of just the math-minded programmer. Big data is increasingly available to everyone, and its accessibility allows managers to answer, with pinpoint precision, why an organizational problem occurred and how it can be solved.
How Is Math Used in Business?
Without a foundation of mathematical knowledge, you can’t interpret or make use of the data that’s been gathered. That’s why Saint Mary’s University of Minnesota makes advanced mathematics a central component of the Master of Science in Business Intelligence and Data Analytics (M.S. BIDA).
From business calculus, algebra, and business statistics, to hypothesis testing and determining mean, mode, and median, you will be prepared with the math fundamentals you need—both in this program and in your career in business intelligence and data analytics.
A Foundation of Mathematical Knowledge
Your coursework kicks off with business math problems in applied math and business statistics, laying a foundation to build on and ensuring every student involved in the program starts with the same level of mathematical knowledge. Topics covered include:
- Ratio analysis and comparison
- Descriptive and inferential statistics
- Correlation and regression
- Analysis of variance
- Algebra, trigonometry, and pre-calculus
You will be skilled at applying descriptive statistics, organizing, interpreting, and analyzing data, using algebra to evaluate business problems, and solving those problems through equations and matrices.
Prepare for the Next Step
With that foundation of mathematical knowledge, you will be ready for further coursework in the program and future success in your career, whether you’re analyzing a business model, visualizing a data set from a Fortune 500 company, or digging into neural networks and data mining.
Most importantly, you will be ready to interpret data, explain why a business problem occurred, and propose a solution based on sound mathematical knowledge.