Helzberg School M.S.-BIA Prerequisites

Rockhurst University’s Helzberg School of Management prefers the following five credit hours of prerequisites are taken prior to Applied Data Mining, BIA 6301, a core course within the curriculum.

  • Linear and Multivariate Models, BIA 6309 (2 credit hours)
  • Databases for Analytics, BIA 6314 (2 credit hours)
  • Introduction to R, BIA 6311 (.5 credit hours)
  • Introduction to Python, BIA 6312 (.5 credit hours)

In some cases, equivalent knowledge of the prerequisite courses may be substituted.

Course Descriptions

BIA 6309. Linear and Multivariate Models (2 credit hours)
This intermediate level class covers multiple and logistic regression methods including correlation, residual analysis, analysis of variance, and robustness. These topics will be studied from a data analytic perspective using business examples. The class is also explores multivariate models as they relate to problems encountered in data and text mining.  Prerequisite: Introductory statistics and knowledge of the R computing Language.

BIA 6314. Databases for Analytics (2 credit hours)
This course that details database design, normalization and query methods that are pertinent for analytics. Topics will include relational databases, SQL, data warehouse architecture, data marts and data lakes. Further investigation will include cloud computing options, APIs and emerging forms of databases. The emphasis is placed on the use of these infrastructures and architectures for analytics. Prerequisite- introductory course in programming or computer science.

BIA 6311. Introduction to R (.5 credit hours)
One-day workshop on the fundamentals of the R programming language. Only taken if student does not have experience and proficiency in this language. Prerequisite- introductory course in programming or computer science.

BIA 6312. Introduction to Python (.5 credit hours)
One-day workshop on the fundamentals of the Python programming language with emphasis on working with data frames (Pandas), arrays (Numpy) and visualization (Matplotlib). Prerequisite- introductory course in programming or computer science.