Master of Science in Business Intelligence and Analytics, MS-BIA

MS-BIA Prerequisite Courses (0-5 hours):

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

• BIA 6309 - Linear and Multivariate Models (2)
• BIA 6311 - Introduction to R for Data Analysis (0.5)
• BIA 6312 - Introduction to Python for Data Analysis (0.5)
• BIA 6314 - Databases for Analytics (2)

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

Core Business Intelligence and Analytics (26 hours)

• ACFN 6300 - Financial Decision Making for Managers (2)
• BIA 6300 - Business Intelligence (2)
• BIA 6301 - Applied Data Mining (2)
• BIA 6302 - Data Visualization (2)
• BIA 6303 - Predictive Models (2)
• BIA 6304 - Text Mining (2)
• BIA 6305 - Preparation and Analysis for Big Data (2)
• BIA 6306 - Web and Social Media Analytics (2)
• BIA 6307 - Dashboard Creation and Implementation (2)
• BIA 6308 - Analytics and Strategy (2)
• MG 6008 - Managerial Communications (2)
• MG 6320 - Project Management (2)

•  

• MK 6410 - Marketing Strategy (2)

• or

  • MK 6460S Marketing Research and Analytics (2)

   

  Core courses already taken through another degree program can be substituted with an additional elective. Program director consent is required.

Electives (4 hours):

• BIA 6313 - Spatial and GIS Analytics (2)
• HC 6400 - Health Information Technology (2)
• MG 6460 - Innovation (2)
• BIA 6315 Time Series/Panel/Sequential (2)

Elective courses already taken through another degree program can be substituted with an additional elective. Program director consent is required.