Try out a Master’s in Applied Consumer Analytics while fulfilling requirements for your Bachelor’s degree. Continue on to earn your undergraduate and graduate degrees within a five-year time frame!

Why Double Dawgs in Applied Consumer Analytics?

The University allows for students to count up to 12 undergraduate credits toward both their Bachelor’s and Master’s degrees. This can effectively give student a head-start in completing both degrees in five years or less. This means that undergraduate students can use up to 12 undergraduate general elective hours toward a graduate degree in applied consumer analytics*. Because the Hope and Miller scholarships fund up to 127 credit hours, the Double Dawgs option gives students the opportunity to take advantage of undergraduate scholarship funding for a graduate program.

*with departmental permission

The Applied Consumer Analytics emphasis provides students with the analytical skills needed to transform data into practical information for use in organizational and policy decisions. Consumer and policy analysts are in demand by private, public, and non-profit organizations. Students gather data about consumers, policies, and market conditions using the empirical research process and analyze the data through mathematical models such as linear and non-linear multivariate models, time series and panels data analyses, econometric forecasting methods, and policy analysis techniques.

Who is eligible?

Students majoring in Consumer Economics, Biology, and Psychology are eligible to participate in the Double Dawg program with Applied Consumer Analytics as your Master’s degree.

Please contact The SSAC ( to evaluate your own individual path toward becoming a Double Dawg. We will work with any student on our end to help pursue this opportunity.

Pathway and Criteria

  • Approval to Take Graduate Courses
    • Undergraduate students who will reach at least 60 hours by the end of the semester in which they wish to take their first graduate course in financial planning.
    • Students must have a minimum 3.0 GPA to take graduate courses.
    • Students must have approval from their undergraduate major in order for courses to count toward their undergraduate degree.  If a Double Dawgs agreement exists, courses have been pre-approved.
    • You can take up to 12 hours of graduate coursework prior to applying to the Graduate School. These hours can count toward the student’s undergraduate degree.
    • Upon acceptance into the Graduate School, the 12 hours will also count toward a Master’s in Financial Planning.
    • Students can apply to the Graduate School before or after taking their first graduate course in Financial Planning depending on their undergraduate progress.
    • Interested students should fill out this 1-page Double Dawgs Pathway Application and contact SSAC ( to evaluate your personal plan.
  • Applying to Graduate School*
    • Must complete 60 undergraduate hours to apply
    • Must have GMAT/GRE scores 
    • Deadlines (Domestic)
      • Fall– July 1
      • Spring– November 15
    • Deadlines (International)
      • Fall – April 15
      • Spring – October 15


Courses to be taken as an undergraduate

FHCE 6000 (3 credits) Consumer Analytics and Research Methods I

Non-experimental research designs, measurement techniques, and methods of data collection used in social science research. Students learn about each phase of the research process and become good consumers of research. Survey research methods commonly used in financial planning, housing and consumer economics research are emphasized.

FHCE 7050 (3 credits) Consumer Analytics and Research Methods II

Advanced research methods with an emphasis on applied consumer research techniques, interpretation, and dissemination. Through the use of modern analytic tools and diverse quantitative methods, students learn to integrate design, measurement, sampling, data management, and analytic techniques found in applied consumer analytic settings such as business, government, and non-profit organizations.

FHCE 7150 (3 credits) Applied Consumer Policy Analytics

Graduate students will complete a policy-related research proposal. Also, they must read and report on (written report or a mini-class lecture to undergraduates) an advanced policy book (a classic or a new book recognized by policy professionals as significant to field).

FHCE 7960 (3 credits) Quantitative Internship in Financial Planning, Housing and Consumer Economics

Supervised experience in quantitative research on a topic area related to financial planning, housing and consumer economics.

Courses to take once admitted into graduate program

FHCE 7020 (1 credit) Research Development I

Students develop the skills necessary to develop a thesis or dissertation proposal, including the

identification of a viable research question and the structure of an empirical research paper.

FHCE 8000 (3 credits) Research Methods in Financial Planning, Housing and Consumer Economics I

Research design. Emphasis on common problems incurred in measurement and data analysis.

FHCE 8050 (3 credits) Research Methods in Financial Planning, Housing and Consumer Economics II

Advanced research methods. Integration of research design, measurement, and data analysis.

FHCE 8100 (3 credits) Theory of Households, Consumer Economics, and Financial Behavior I

A survey of contemporary theories of consumer and household decision making. Includes neoclassical economic analysis, theories of savings and consumption, financial behavior, and theories of housing.


FHCE 8150 3 Theory of Households, Consumer Economics, and Financial Behavior II

A formal introduction to contemporary economic theories of decision making. The goal is to understand the behavior of economic agents-consumers and firms-and their interaction in various environments.

STAT 6210 3 Statistical Methods I

Statistical models, descriptive statistics, random variables, probability distributions, concepts in statistical inference, estimation, confidence intervals, hypothesis testing, goodness-of-fit tests, contingency tables.

STAT 6220 3 Statistical Methods II

Regression analysis including simple linear regression, multiple regression, model checking and analysis of residuals, correlation and prediction, analysis of variance, completely randomized designs, randomized block designs, factorial designs, interaction and covariance analysis.

9 credits FHCE or allied course with student’s advisory committee approval