Helzberg School M.S.-BIA Electives

You’ll select two of the following elective courses as part of the M.S. in Business Intelligence and Analytics program.

  • Spatial and GIS Analytics, BUS 6313 (2 credit hours)
  • Time Series and Sequential Analytics, BIA 6315 (2 credit hours)
  • Advanced Topics in Analytics, BIA 6316 (2 credit hours)
  • Health Information Technology, HC 6410 (2 credit hours)
  • Innovation, MG 6460 (2 credit hours)
  • Marketing Strategy, MK 6410 (2 credit hours)  -OR-  MK 6460 Marketing Research and Analysis (2 credit hours)

Course Descriptions

BIA 6313. Spatial and GIS Analytics (2 credit hours)
Topics to include the use of spatial data for analytics. Students will also be introduced to Geographic Information Systems (GIS) for mapping business and governmental data. Prerequisite: BUS 6301 and knowledge of R and Python computing languages.

BIA 6315. Time Series and Sequential Analytics (2 credit hours)
Topics to include time series, forecasting and use of sequential and streaming data in analytics. Prerequisite: BUS 6301 and knowledge of R and Python computing languages.

BIA 6316. Advanced Topics in Analytics (2 credit hours)
Topics in this course can vary each time offered, but some topics will include Optimization, Portfolio Modeling, Demand Modeling, Forecasting and Consumer Modeling.  Prerequisites BIA6301 and knowledge of R and Python computing languages.

HC 6410. Health Information Technology (2 credit hours)
This course examines past developments and emerging trends within the general discipline of Management Information Systems (MIS), and within the specific discipline of Health Care Information Technology (HCIT). It explores the business management processes required for successful Information Systems planning, design and implementation within health care organizations of various sizes and types.  Field visits and case studies expose students to the practical challenges involved in systems selection, implementation and ongoing utilization, including ethical issues, human responses to change, and best practices in project management.

MG 6460. Innovation (2 credit hours)
Peter Drucker claimed “the business enterprise has two—and only two—basic functions: marketing and innovation.” This course will take a 360 degree look at the notion of business innovation, ranging from the entrepreneurial to corporate and from the individual (creativity) to the collective (strategic). Students will explore a number of resources that help stake out a definition for innovation specific to business results and explore ways to foster creativity whether it is from an entrepreneurial perspective or an entrepreneurial effort to improve enterprise results.

You have the option to choose the marketing course not selected for your core requirement as an elective:

MK 6410. Marketing Strategy (2 credit hours)
This strategic marketing course gives you practice in the design, implementation and control of marketing strategies. It is an operationally oriented course in which the application and not the definition of marketing concepts, principles and methods are important. The course stresses integration of the major decision areas of marketing rather than the sequential discussion of these subjects. Pre-requisite MK 3000.

-OR-

MK 6460 Marketing Research & Analytics (2 credit hours)
This course is focused on enhancing students’ knowledge and skills of exploring, analyzing, and interpreting marketing data. Students will be exposed to the latest and widely adopted approaches in marketing area regarding understanding customer metrics, marketing mix, and marketing environmental factors through a series of data-driven techniques. Specifically, this course will cover modules such as customer life time value, market segmentation, experiment data analysis, market basket analysis, conjoint analysis, survival analysis, and other related marketing research techniques. Each of these modules represents an important avenue that supports marketing strategies. Therefore, this course is designed to build strong links between data analysis and marketing decisions. SAS Foundation and SAS Enterprise Miner will be the primary software used in this course. SAS Text Miner and SAS Forecast Studio will also be used.  Prerequisite BIA 6301.