Courses

Through the 30-credit online MPS in Data Analytics — Business Analytics option curriculum, you can learn to explore and analyze large data sets to support data-driven business decisions through the complete spectrum of analytics activities: descriptive (what happened), diagnostic (why it happened), predictive (what will happen), and prescriptive (what should happen).

You will take 9 credits in the program's core courses, 9 credits specific to the business analytics option, and 9 credits of electives in consultation with your program adviser. You will then complete your studies with the 3-credit culminating capstone experience.

As key concepts build from one course to the next, prescribed courses (BAN) for the business analytics option must be taken in sequential order starting with BAN 530. BAN 530 is offered each fall, followed by BAN 840 in spring semesters, and BAN 550 in summer semesters. The capstone course, BAN 888, will only be available in fall semesters. This sequencing is specific to the BAN courses and does not necessarily impact core or elective courses, unless where a prerequisite is noted. As always, please consult the program office if you have questions.

Course List - Master of Professional Studies in Data Analytics - Business 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. 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

Business Analytics Option Prescribed Courses (9 credits)
Title	Abbreviation	Description	Credits
Business Strategies for Data Analytics	BAN 530	Data analytics problem-solving strategies applied to a real-world business context.	3 credits
Predictive Analytics for Business	BAN 840	Explores the use of predictive analytics tools and techniques throughout a wide range of business scenarios and problems; includes a subset of methods such as neural networks, machine learning, social media analytics, and more.	3 credits
Prescriptive Analytics for Business	BAN 550	Development of methods for prescriptive analytics with a focus on business supply side decisions and risk mitigation. Prerequisite: BAN 840	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
Analytics Programming in Python	DAAN 862	This course will explore the development of analytics systems and the application of best practices and established software design principles using the Python programming language and its several toolkits. Requires prior programming experience and permission from the program.	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

Culminating Capstone Experience (3 credits)
Title	Abbreviation	Description	Credits
Implementing Analytics for Business	BAN 888	Sets business analytics in real-world context. Explores project life cycle from business problem-framing to model lifecycle management. Prerequisite: BAN 530, BAN 550, and BAN 840	3 credits

Course Availability

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