Applied Consumer Analytics

With the Consumer Analytics course sequence, students learn how to combine statistical analysis with evidence-based storytelling to support decisions that improve well-being for consumers, communities, institutions, and organizations.

Highlights

Gain real-world, hands-on experience
Master statistics as a simple, applied toolkit
Learn to guide strategy, innovation, and policy through analytics
Gain confidence to work in the insights-driven world

Choose Your Path:

Take one or more Consumer Analytics courses
Complete the series of courses to earn an undergraduate emphasis
Enroll in Double Dawgs to earn graduate credits
Earn a Master’s Degree in Applied Consumer Analytics

Course Sequence

FHCE 4000/6000: Evidence-based Strategy:

Build an analytical toolkit with focus on bivariate and multivariate analysis
Develop expert Excel skills
Master effective storytelling methods that inspire action
Complete real-world case studies of increasing complexity

FHCE 5050/7050: Evidence-based Innovation

Discover the role of statistical analysis in design thinking and innovation
See first-hand how statistics can serve as creative inspiration
Learn how factor and cluster analysis can reveal meaningful needs and opportunities
Define and test new concepts through experiments and conjoint design
Master SPSS as a statistical tool

FHCE 5150/7150: Evidence-based Policy

Discover the ways in which analytics can inform policy development and implementation
Learn to assess the strengths and weaknesses of government and/or organizational policy
Work with large consumer-based information
Gain experience in SAS and R

FHCE 5960/7960: Consumer Analytics Internship

Put your skills to work
Refine your ability to contribute to organizational decisions and success
Add to your project portfolio for job interviews

Faculty Members

Patryk Babiarz

Associate Professor

Yilang Peng

Assistant Professor

Dee Warmath