Courses

This program can be completed entirely online and incorporates the contemporary principles of marketing analytics with the theories and methodologies associated with data science.

Degree Requirements (30 credits)

9 data analytics core credits
9 marketing analytics option credits
9 elective credits
3 capstone credits

Courses are structured to allow you to complete assignments when and where it's most convenient for you. While courses are autonomous, you will have the opportunity to interact and engage with fellow classmates through integrated experiences. This peer-to-peer interaction enhances your learning experience while strengthening your professional network on a global scale.

Course List - Master of Professional Studies in Data Analytics - Marketing Analytics Option

Required Courses (9 credits)
Title	Abbreviation	Description	Credits
Foundations of Predictive Analytics	IE 575	Survey course on the key topics in predictive analytics. Prerequisite: STAT 500 or equivalent	3 credits
Data Mining	SWENG 545	Practical benefits of data mining will be presented; data warehousing, data cubes, and underlying algorithms used by data mining software.	3 credits
Applied Statistics	STAT 500	Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and two-way ANOVA, Chi-square tests, diagnostics. Prerequisite: one undergraduate course in statistics	3 credits

Marketing Analytics Option Required Courses (9 credits)
Title	Abbreviation	Description	Credits
Driving Business Success with Marketing Analytics	MKTG 811	Principles of applied marketing analytics, including marketing data sources, data quality, software, and fundamentals of statistics. Special focus on translating data into meaningful business insights and strategy.	3 credits
Evaluating Marketing Communications in the Digital World	MKTG 812	Introduction to data analytics for evaluating digital marketing communication, including assessment of mobile, website, and online shopper experiences; evaluation of digital campaigns, social media monitoring, and media mix modeling.	3 credits
Data-Driven Customer Acquisition and Retention	MKTG 813	Examination of data analytics to strategically drive targeting, acquiring, developing relationships with, and retaining customers. Prerequisite: MKTG 811	3 credits

Electives (Choose 9 credits)
Title	Abbreviation	Description	Credits
Principles of Demography	APDEM 801	This course examines fundamental concepts and ideas in demography, and U.S. and world population trends associated with these concepts.	3 credits
Data, GIS, and Applied Demography	APDEM 802	This course provides an overview of key demographic data sets, and promotes familiarity with, and appropriate use of, these data.	3 credits
Applications in Applied Demography	APDEM 803	This course provides an overview of applications in applied demography in business, government and public policy, health, and non-profit organizations.	3 credits
Data Collection and Cleaning	DAAN 822	Tools and techniques required for data collection and computational procedures to automatically or semi-automatically identify and eliminate errors in large datasets. Prerequisite: STAT 500 and INSC 521	3 credits
Network and Predictive Analytics for Socio-Technical Systems	DAAN 846	This course will study the inter-relatedness of cyber-social and cyber-technical aspects of an organization or society as a whole.	3 credits
Data Visualization	DAAN 871	This course provides a foundation in the principles, concepts, techniques, and tools for visualizing large data sets.	3 credits
Enterprise Analytics Strategies	DAAN 897	The course examines business intelligence in the era of big data. Emphasis is on the successful implementation of big data in large and small corporations that deliver extraordinary results.	3 credits
Demographic Techniques	SOC 573	Models and measures of vital processes (fertility, mortality, migration) and their effects on growth and age structure of human populations.	3 credits
Statistical Analysis System Programming	STAT 483	Introduction, intermediate, and advanced topics in SAS. Prerequisite: 3 credits in statistics	3 credits
Regression Methods	STAT 501	Analysis of research data through simple and multiple regression and correlation; polynomial models; indicator variables; step-wise, piece-wise, and logistic regression. Prerequisite: STAT 500 or equivalent; matrix algebra	3 credits
Applied Time Series Analysis	STAT 510	Identification of models for empirical data collected over time. Use of models in forecasting. Prerequisite – STAT 462 or STAT 501 or STAT 511	3 credits
Technical Project Management	SYSEN 505	Analysis and construction of project plans for the development of complex engineering products taken from a variety of problem domains.	3 credits
Decision and Risk Analysis in Engineering	SYSEN 536	Analysis of engineering decisions under uncertainty; problem identification, formulation, judgment, resolution; mitigation, risk analysis, quantification, and management.	3 credits

All students will complete their program of study with the capstone course to give students an opportunity to apply their knowledge of the theories, methods, processes, and tools of data analytics, learned throughout their program, in a culminating and summative experience.

Culminating Capstone Experience (3 credits)
Analytics for Brand Management and Customer Experience	MKTG 814	Review of analytics, addressing key marketing challenges, including brand positioning and differentiation, pricing and product strategy, brand equity, and customer satisfaction. Prerequisite: MKTG 811	3 credits

Course Availability

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