M.S. in Business Analytics

Development of a deep understanding of the organization, positions, purpose, methods, informational processes, and decision-making mechanisms of the corporation.

The ethical conduct of business organizations as specifically related to the gathering, storage, analysis, dissemination, and use of public and private data.

Survey of central issues related to corporate data storage and handling, and the role and value of data analytics in parsing large volumes of complex multi-source data to meet the decision-making needs of contemporary organizations.

The fundamentals of statistical exploration and visualization techniques, including descriptive statistics and probability distributions, inferential statistics, parametric and non-parametric hypothesis tests and regression analysis.

Hands-on use of modern analytical software, algorithms, and methodologies to solve discrete real-world case studies as key aids to rational decision-making in organizations.

Introduction to technologies, principles, and activities involved in corporate data management, primarily data warehousing.

Covers foundational analytics concepts using selected industry tools, eg. AZURE, and methods for interpreting business requirements, describing, summarizing, and presenting data, and making predictions using statistical analysis.

Techniques to intelligently extract and analyze useful information stored in large data sets using machine learning algorithms such as Locality Sensitive Hashing (LSH), web analytics and social network analysis, decision trees and their applications in business intelligence, are covered.

Introduction to R (an open-source programming language for statistics and graphics), widely used within corporations, non-profits, and government, and related languages.

Building upon the tools and techniques of the M.S. in Business Analytics curriculum, teams of three (or less) students will conduct an applied analytical research project to address an important industry-supplied issue.  Course should be completed in the final semester of study.

An  online  two-credit  course  designed  to  help  acclimate students to Regent University and online learning. It will provide the knowledge, resources and essential skills needed for success  at  the  graduate  level. Topics  include  academic  writing,  online  learning,  information  literacy,  and  advising  and support services. It may be required for some students as a condition of admission, and may substitute for UNIV LIB Information Research and Resources and/or ENGL 500 Graduate Academic Writing Seminar.

In this exploding age of information, it is the objective of the library faculty to prepare graduates to be on the cutting edge of information technology. Information literacy is the ability to effectively access information for problem solving and decision-making; thus, the knowledge and abilities you glean from this course will open doors to lifelong learning. It is imperative for graduate study research. Since the information learned in this course is a vital foundation for all other coursework, its completion is required within the first semester of study. The course takes approximately ten hours to complete.