Business Analytics Minor

The business analytics minor requires a minimum of 19 credits hours of coursework in business analytics.

Required Courses
BUAD 330 - Computer Skills for Business

1 credit | Fall & Spring | Corequisite(s): BUAD 350 - Introduction to Business Analytics


This course is designed to complement functional courses in the Business Core Program by providing instruction in the use of application software. Typically the course will cover presentation software, spreadsheets, and database application. Graded pass/ fail.

BUAD 350 - Introduction to Business Analytics

3 credits | Fall & Spring | Prerequisite(s): BUAD 231 - Statistics or the equivalent. Corequisite(s): BUAD 330 - Computer Skills for Business


The objective of this course is to provide students with an introduction to the concepts of business analytics, operations management and information systems. During this course, students will develop skills in analyzing business situations, developing visualization and decision models designed to effectively analyze and communicate, and to identify expected risks and benefits associated with decisions based on the models developed.


Note: Statistics equivalent defined as BUAD 231, ECON 307, KINE 394, MATH 106, MATH 351, PSYC 301, or SOCL 353.

BUAD 351 - Operations Management

1.5 credits | Fall & Spring | Prerequisite(s): BUAD 350 - Introduction to Business Analytics


This course focuses on operations knowledge essential to successful management. Topics include demand forecasting, process analysis, minimizing the effects of uncertainty in supply and demand, operational decision-making and other operations topics of current interest.

BUAD 352 - Decision-making through Visualization and Simulation

1.5 credits | Fall & Spring | Prerequisite(s): BUAD 350 - Introduction to Business Analytics


The objective of this course is to provide students with advanced skills in the most common business analytics tools of the modern workplace - namely Excel and its companion programming language called Visual Basic for Applications (VBA). During this course, students will develop visualization and decision models designed to effectively communicate the meaning of complex data sets, and to identify the expected risks and returns associated with decisions about uncertain future events through the application of probability concepts and Monte Carlo simulation methods.

BUAD 461 - Lean Six Sigma Toolkit    OR

3 credits | Fall or Spring | Prereq/Corequisite(s): BUAD 350 - Introduction to Business Analytics or consent of the instructor


This course focuses on developing lean processes within a variety of operating environments. Tools and strategies leading to improved process management are included. The course also focuses on Six Sigma approaches to process quality and includes emphasis on tools and procedures for implementing Six Sigma strategies within organizations.


Note: This course combines the existing BUAD 459 and BUAD 61 courses into a single course. Students who took BUAD 459 under a previous catalog may not take the new 3 credit BUAD 461 version.

BUAD 467 - Applied Predictive Analytics

3 credits | Fall or Spring | Prerequisite(s): BUAD 231 - Statistics or the equivalent, and BUAD 330 - Computer Skills for Business


This course focuses on solving business problems with data using predictive techniques, particularly in situations where the problem statement is ambiguous. The course covers five integral elements of analysis including: 

  1. General problem framing
  2. Framing analytics problems
  3. Managing, evaluating and cleaning data
  4. Methodology selection
  5. Model building/ reporting

This approach enables students to experience a predictive business analytics problem from start to finish with a particular emphasis on providing, receiving and implementing feedback for improvement.


Note: Statistics equivalent defined as BUAD 231, ECON 307, KINE 394, MATH 106, MATH 351, PSYC 301, or SOCL 353.

BUAD 466 - Developing Business Intelligence

3 credits | Fall or Spring | Prerequisite(s): BUAD 350 - Introduction to Business Analytics or consent of the instructor.


The course focuses on the collection, representation and analysis of evidence in support of decision making and process improvement. The course will examine hard and soft measures, criteria for evaluation, and performance measurement.

BUAD 469 - Advanced Modeling Techniques

3 credits | Fall or Spring | Prerequisite(s): BUAD 231 - Statistics or the equivalent, and BUAD 352 - Decision-making through Visualization and Simulation, or consent of the instructor.


This course is designed to provide students with the skills necessary to develop advanced decision models using a variety of programming and database tools. These models apply concepts from probability theory and statistical inference across a broad range of business disciplines. Particular emphasis is placed on the development of Monte Carlo simulation models.

Note: Statistics equivalent defined as BUAD 231, ECON 307, KINE 394, MATH 106, MATH 351, PSY 301, or SOCL 353.

Electives (Choose One)
BUAD 460 - Big Data Analytics

3 credits | Fall or Spring | Prerequisite(s): BUAD 231 - Statistics or the equivalent, or consent of the instructor.


This course is designed to equip students with the kinds of analytical skills used in the era of Big Data to reveal the hidden patterns in, and relationships among, data elements being created by internal transaction systems, social media and the Internet of Things. Students will use the open source programming language R for the development of Data Mining (and other statistically-based) analytical solutions. No prior experience with programming is required.


Note: Statistics equivalents defined as BUAD 231, ECON 307, KINE 394, MATH 106, MATH 351, PSY 301, or SOCL 353.

BUAD 461 - Lean Six Sigma Toolkit

3 credits | Fall or Spring | Prereq / Corequisite(s): BUAD 350 - Introduction to Business Analytics or consent of the instructor


This course focuses on developing lean processes within a variety of operating environments. Tools and strategies leading to improved process management are included. The course also focuses on Six Sigma approaches to process quality and includes emphasis on tools and procedures for implementing Six Sigma strategies within organizations.


Note: This course combines the existing BUAD 459 and BUAD 461 courses into a single course. Students who took BUAD 459 under a previous catalog may not take the new 3 credit BUAD 461 version.

BUAD 462 - Healthcare Informatics

3 credits | Fall or Spring


Successful management of health delivery requires a scientific, information-driven approach. This course explores the use of information and information-based technologies to address challenges in rising costs, quality of health outcomes, and timely access to those who need healthcare. Through hands-on analysis of industry data students will diagnose issues, identify alternatives and develop a plan to deliver value-based healthcare. Topics include a comparative analysis of healthcare in other nations, digitization of health processes, health informatics exchange, accountable care organizations, and business model innovations in health sector. Students will learn about regulatory reforms in U.S. health sector and various career opportunities in health sector.

BUAD 465 - Managing Supply Chains in a Digital Economy

3 credits | Fall or Spring | Prerequisite(s): BUAD 350 - Introduction to Business Analytics


Over the last five years, technology, specifically the WEB, has revolutionized the way firms do business with each other. The usual stumbling blocks of poor information availability: incompatible organizational structures and information systems, and the high cost of collaboration are being "blown to bits" by tailored supply chain initiatives and web-centric software. This course will explore these initiatives and tools that firms are using to manage supply chains and B2B integration.

BUAD 467 - Applied Predictive Analytics

3 credits | Fall or Spring | Prerequisite(s): BUAD 231 - Statistics or the equivalent, and BUAD 330 - Computer Skills for Business


This course focuses on solving business problems with data using predictive techniques, particularly in situations where the problem statement is ambiguous. The course covers five integral elements of analysis including:

  1. General problem framing
  2. Framing analytics problems
  3. Managing, evaluating and cleaning data
  4. Methodology selection
  5. Model building/ reporting

This approach enables students to experience a predictive business analytics problem from start to finish with a particular emphasis on providing, receiving and implementing feedback for improvement.


Note: Statistics equivalent defined as BUAD 231, ECON 307, KINE 394, MATH 106, MATH 351, PSYC 301, or SOCL 353.

BUAD 474 - Negotiation

3 credits | Fall or Spring


This course introduces students to the art and science of negotiation through the study of well-documented historical negotiations, personal experience with live negotiation exercises, and the study of game theory. Students will focus on understanding the games that underlie most negotiations and developing the analytical tools and techniques required in negotiation.

BUAD 482 - Project Management

3 credits | Fall or Spring


This course will focus on the concepts and tools related to the management of projects within organizations. Students will examine all phases of project management including selection, planning, scheduling, control, and termination. Topics include writing project plans, developing work breakdown structures, project scheduling, resource management, earned value analysis, and project risk management.