Request Info
Business Intelligence & Analytics Management Certificate Courses & Tuition
Graduate Certificate <br />

Graduate Certificate

Business Intelligence and Analytics Management

Business Intelligence and Analytics Management Graduate Certificate Coursework

Our graduate certificate coursework is designed so that you can earn the credentials and core competencies you need to move forward in your career. You can earn a standalone graduate certificate or you can transfer the qualifying credit hours toward earning a master's degree.

Click on a course name below for its full description

Graduate certificate requires successful completion of eight courses including all of the following:

Applications of Business Analytics I

Applications of Business Analytics II

Developing and Managing Databases for Business Intelligence

Internet Analytics Strategies

Predictive Analytics

Applied Managerial Statistics

Managerial Applications of Information Technology

Applications of Business Analytics I
BIAM500 – 3 credit hours
This course focuses on the role of business intelligence in facilitating the implementation of business process changes. Constructing data-based models, as well as examining their impact on major business functions, are emphasized. Students use software tools to assess strengths and weaknesses of various models. The course also addresses handling large data sets, and analyzing text and network data.
Prerequisite: None
Applications of Business Analytics II
BIAM510 – 3 credit hours
Building on concepts presented in BIAM500, this course examines how to appropriately use business analytics tools. Topics covered include data warehousing, accessing data sources, customer profiling, customer churn and social network analysis. Understanding how business analytics fits into business processes is emphasized.
Prerequisite: BIAM500 and MATH533
Developing and Managing Databases for Business Intelligence
BIAM530 – 3 credit hours
This course addresses designing relational databases and building large database applications, including tables, queries, forms, reports and macros. Also addressed are implementing basic database security, backup and recovery procedures, the role of normalization and meeting business requirements. Data warehousing, implementation of data mining tools, data modeling and decision trees are also examined. Case studies are used throughout the course.
Prerequisite: None
Internet Analytics Strategies
BIAM540 – 3 credit hours
Based on analysis of an organization’s mission and goals for its web presence, students in this course explore strategies for implementing various Internet analytics tools to evaluate the effectiveness of the organization’s web presence, including its web and social media sites. Key performance indicators are examined. Students gain familiarity with several Internet analytics tools and data sources such as web logs, big data and social media.
Prerequisite: BIAM510
Predictive Analytics
BIAM560 – 3 credit hours
Students in this course examine exploratory data, cluster and association analyses with current and historical facts to make predictions. Also covered are logistic regression, text analytics and decision trees. Managerial issues of how to select models for specific business problems are examined.
Prerequisite: BIAM510
Applied Managerial Statistics
MATH533 – 3 credit hours
Applied Managerial Statistics stresses practical use of statistics in collecting, organizing, analyzing, interpreting and presenting data. Both descriptive and inferential techniques are covered.
Prerequisite: None
Managerial Applications of Information Technology
MIS535 – 3 credit hours
This course introduces structures, applications and management of corporate information systems. Coursework investigates how technology is changing the way we conduct communication, make decisions, manage people and improve business processes, as well as how it adds value to business. Students access the Internet to gather and use information, and analyze business decisions using decision support tools.
Prerequisite: None

And one of the following:

Modeling for Decision Making

Project Management Systems

Modeling for Decision Making
BIAM570 – 3 credit hours
This course introduces basic concepts of mathematical approaches to organizational decision-making and model development for formal decisions. Topics include model building, linear and nonlinear optimization, simulation, time series analysis, network models and decision analysis.
Prerequisite: BIAM510
Project Management Systems
PROJ586 – 3 credit hours
With an emphasis on planning, this course introduces project management fundamentals and principles from the standpoint of the manager who must organize, plan, implement and control nonroutine activities to achieve schedule, budget and performance objectives. Topics include project life cycles, organization and charters; work breakdown structures; responsibility matrixes; as well as planning, budgeting and scheduling systems. Planning and control methods such as PERT/CPM, Gantt charts, earned value systems, project management software applications and project audits are introduced.
Prerequisite: None

FINANCING OPTIONS

There are many scholarships and other financial aid options available for qualifying students that may help make your graduate education more affordable. Click one of the links below for more info.