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BUSA 8325 | 3 CREDIT HOURS

Provides students with a comprehensive background in the mathematical topics required for learning quantitative finance, business analytics, and data science. The mathematical topics covered include calculus, differential equations, linear algebra, and probability and statistics. Broad familiarity with linear algebra, statistics, stochastic process, finance, and economics is helpful but not required.

BUSA 8330 |  3 CREDIT HOURS
Provides an introduction into practical forecasting techniques. Students will acquire in depth knowledge of database construction, estimation, forecasting and evaluation. Employs the basic techniques of econometric modeling and time series analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, and multivariate statistics.  Introduction to Python programming techniques and its statistical applications.

BUSA 8335 | 3 CREDIT HOURS
Focuses on profit maximizing pricing strategies, through the employment of applied microeconomic theory. Emphasis will be on the use of information that is readily available at the firm level. This includes information on supply, demand, inventories, prices, market structure, profitability, and the relative competitiveness of the firm. Utilizes concepts from economics, finance, production, and operations management; thereby integrating the concepts of microeconomics with those of industrial engineering.

BUSA 8337 | 3 CREDIT HOURS

Introduction to the quantitative techniques and algorithms that are based upon large scale datasets, and the optimization techniques widely utilized in the business sector.  Prepares students for more rigorous analysis of large scale datasets, as well as introduces machine learning models and the data analytics that are most often employed in business intelligence.  Machine learning and statistical methods (to included Bayesian analysis) are used throughout this course.

BUSA 8339 | 3 CREDIT HOURS

Introduction to dashboards and scorecards for presenting and analyzing critical performance and operational data.  Developing such skills will provide students with the requisite knowledge/tools for translating business strategy into goals, objectives and indicators that are used as metrics in quantifying an organizations’ progress towards achieving its operational targets.  Introduction to dashboard functionality, characteristics and components, key elements, design principles, security, standards and best practices.

BUSA 8340 | 3 CREDIT HOURS
Provides student with the opportunity to apply what they have learned about data-driven business decision-making. Each student will frame a research project, by employing the analytical tools and methods from which they have developed throughout the program. The final capstone project will select from a cadre of possible scenarios which might emphasize developing optimal marketing strategies, revenue maximizing decision making and/or the development of strategies that maximize the efficient operations of a division of a firm. Students will work with a faculty member to assist them in their final project selection.

CISS 8302 |  3 CREDIT HOURS
Analysis, design and administration of databases using information systems development methodologies and tools. Overview of SQL, data warehouses, distributed access, and security.

ECON 8310 | 3 CREDIT HOURS
Utilizes the tools of microeconomic theory to analyze and understand the essential topics that are related to optimal business decision making. Topics included focus around the microeconomic factors which determine demand and profit maximizing pricing behaviors. Market structures and various aspects of industrial organization and consumers’ behaviors are covered. Introduction to the concepts of econometric analysis, as it is applied within a microeconomic context. Topics will be selected from health economics, IT sector pricing, energy, and transportation.