Business Analytics Concentration

Students majoring in another business discipline may add a concentration in Business Analytics by completing an six additional credits of coursework in the area.

courses for business analytics concentration
Electives (Choose Two)
courses for business analytics concentration
BUAD 460 - Big Data Analytics

(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 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 - Applied 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 492 - Special Topics Courses (Business Analytics Data Science Topics Only)
(3 credits)
 

A course designed for special topics and for special opportunities to utilize the expertise of a faculty member. (e.g. BUAD 492 ST- Sports Analytics)

Courses may not double count for both a major and a concentration.