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!
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.
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 Diane Costyn (firstname.lastname@example.org) 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.
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.
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