Business Analytics Major

In addition to the core curriculum, students majoring in business analytics may choose an emphasis in either data science or supply chain. Each major and emphasis require students to complete 12 credits in the discipline.

Required Courses
With Data Science Emphasis
With Supply Chain Emphasis
BUAD 466 - Developing Business Intelligence

(3 credits)


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 467 - Predictive Analytics

(3 credits)

 

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 and 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.

BUAD 468 - Prescriptive Analytics

(3 credits)

 

This course focuses on solving business problems using prescriptive techniques. The course covers optimization models, including linear programming, and simulation models, including Monte Carlo simulation.  This course will focus on how prescriptive modeling techniques can be used to make decisions for different business applications.

BUAD 461 - Lean Six Sigma Toolkit

(3 credits)


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.

BUAD 463 - Supply Chain Analytics

(3 credits) 

 

Mathematical optimization techniques and applied solutions for problems in logistics, distribution, facility location, transportation, and supply chain networks.

BUAD 465 - Supply Chain Management

(3 credits)


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.

Electives (Choose One)
With Data Science Emphasis
With Supply Chain Emphasis
BUAD 460 - Big Data Analytics with Machine Learning

(3 credits)


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.

BUAD 461 - Lean Six Sigma Toolkit

(3 credits)


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.

BUAD 462 - Healthcare Informatics

(3 credits)


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 463 - Supply Chain Analytics

(3 credits) 

 

Mathematical optimization techniques and applied solutions for problems in logistics, distribution, facility location, transportation, and supply chain networks.

BUAD 465 - Supply Chain Management

(3 credits)

 

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 469 - Advanced Modeling Techniques

(3 credits)

 

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.

BUAD 482 - Project Management

(3 credits) 


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.

BUAD 460 - Big Data Analytics with Machine Learning

(3 credits)

 

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

BUAD 462 - Healthcare Informatics

(3 credits)


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 466 - Developing Business Intelligence

(3 credits)

 

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 467 - Predictive Analytics

(3 credits)

 

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 and 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.

BUAD 468 - Prescriptive Analytics

(3 credits)

 

This course focuses on solving business problems using prescriptive techniques. The course covers optimization models, including linear programming, and simulation models, including Monte Carlo simulation.  This course will focus on how prescriptive modeling techniques can be used to make decisions for different business applications.

 

BUAD 469 - Advanced Modeling Techniques

(3 credits)


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.

 

BUAD 482 - Project Management

(3 credits)


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.