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Information is the lifeblood of every company, as is the ability to identify, gather, extract, and analyze this raw data. Business Intelligence uses a variety of software applications to transform these facts and figures into useful information that can be used as a catalyst for constructive decision making, cutting costs, improving operations, and identifying new business opportunities. With a Business Intelligence / Analytics certificate you will make an immediate and valuable contribution to any company, with exceptional proficiency in the science of business modeling, database systems, data warehousing, data mining, and benchmarking.
Full-time professionals are available to discuss the business intelligence / analytics certificate curriculum with you in greater detail. Simply call 800.672.7223 Ext. 25168 or contact our Enrollment Services Staff.
Total credits: 15
|QNT 5470||Data Analytics for Business Management|
|MMIS 0630||Database Management and Applications|
|MMIS 0642||Data Warehousing|
|MMIS 0643||Data Mining|
|QNT 5495||Advanced Data Analytics for Business Management|
QNT 5470 Data Analytics for Business Management (3 cr.)
This course provides an overview of data analytics in business management and the technologies that can be used to enhance data-driven decision making. The course introduces data analytics frameworks and best practices for integrating data analytics into organizational business processes to be used to improve competitiveness, profitability, growth or operational efficiency. Students also gain experience with software tools used for data preparation, analysis, and reporting. Prerequisite: QNT 5160 or QNT 5040.
MMIS 0630 Database Systems (3 cr.)
The application of database concepts to management information systems. Design objectives, methods, costs, and benefits associated with the use of a database management system. Tools and techniques for the management of large amounts of data. Database design, performance, and administration. File organization and access methods. The architectures of database systems, data models for database systems (network, hierarchical, relational, and object-oriented model), client-server database applications, distributed databases, and object-oriented databases.
MMIS 0642 Data Warehousing (3 cr.)
This course includes the various factors involved in developing data warehouses and data marts: planning, design, implementation, and evaluation; review of vendor data warehouse products; cases involving contemporary implementations in business, government, and industry; techniques for maximizing effectiveness through OLAP and data mining. Prerequisite: MMIS 630 Database Systems.
MMIS 0643 Data Mining (3 cr.)
This course emphasizes the fundamental concepts and techniques of data mining. Concepts will be illustrated with case studies of real data mining examples. The focus is to find knowledge from huge amounts of data being handled electronically. Students will gain hands on experience using data mining tools on real data. Necessary background concepts in statistics and programming will be provided. Prerequisites: MMIS 671 Decision Support Systems or QNT 5040 Business Modeling, and MMIS 630 Database Systems.
QNT 5495 Advanced Data Analytics for Business Management (3 cr.)
This course integrates knowledge of data management, data mining techniques, predictive modeling, and business process models. Students will apply advanced data analytics techniques to real-world business problems and create and evaluate data-driven solutions to uncover new business strategies and improve organizational competitiveness. The effectiveness of data-analysis techniques and knowledge discovery methods in business applications is also discussed. Prerequisites: QNT 5470, MMIS 0630, MMIS 0642, MMIS 0643, and MMIS 0692.
Because Master's level study extends knowledge and skills acquired in both the classroom and workplace, the successful completion of the following foundation courses are required in order to enroll in this certificate program. Satisfactory completion of foundation courses requires a "C" grade or better in each.
ECN 5050 Economic Thinking (3 cr.)
Economic Thinking: Students will learn how to use economic thinking in making managerial decisions and motivating others to make decisions that increase the value of organizations. Prerequisites: ECNP 5003 and QNT 5040.
FINP 5008 Business Finance (3 cr.)
Business Finance: A survey of the essentials of finance and its environment. Financial management as it applies to organizations, ratio analysis, leverage, working capital management, capital budgeting, capital structure, and other concepts as they apply to business organizations. Course satisfies program prerequisite of finance for master's degree programs.
FIN 5080 Applying Managerial Finance (3 cr.)
Applying Managerial Finance: Students will gain a working knowledge of managerial finance by learning to develop a systematic approach to financial analysis; to apply techniques for planning, forecasting, and managing; as well as to evaluate and recommend improvements in the organization's financial performance. Prerequisites: FINP 5008 or equivalent, ECN 5050, and QNT 5040.
One of the following two courses:
QNT 5040 Quantitative Thinking (3 cr.)
Quantitative Thinking: The application of quantitative techniques has expanded rapidly in business decision-making. This course is an introduction to the potential usefulness, limitations, and format of various quantitative techniques used in the decision-making process in business. Lecture discussion and problem solution are used to present the concepts of descriptive statistics, theoretical probability distributions, confidence levels, simulation, hypothesis testing, correlation, regression, and forecasting techniques. Prerequisite: QNTP 5002 or equivalent.
FIN 5805 Financial Decisions for International Managers (3 cr.)
Financial Decisions for International Managers: Delivered online, Financial Decisions for International Managers examines basic accounting concepts and corporate financial statement components, and develops students financial decision-making abilities. The course is developed as a preliminary requirement for more advanced work in the courses, International Accounting and International Finance. Financial statement analysis is considered to consist of the application of analytical tools and techniques to financial statements and data in order to derive measurements and relationships that are significant and useful for decision-making. This analysis can be used for objectives such as screening for the selection of investments or merger candidates. It can also be used as a forecasting tool for future financial conditions and results; a process of diagnosis for managerial, operating, or other problem areas; and a tool for the evaluation of management. Overall, the course places a strong emphasis on improving managerial decision-making. Prerequisites: ACTP 5001 and FINP 5008 or equivalents.