Business Intelligence / Analytics Certificate
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.Class Formats:
- Weeknight classes on the main campus
Required CoursesTotal credits: 15
|QNT 5040||Business Modeling or MMIS 671 Decision Support Systems|
|MMIS 630||Database Systems|
|MMIS 642||Data Warehousing|
|MMIS 643||Data Mining|
|MMIS 692||Capstone Project in Business Intelligence|
QNT 5040 Quantitative Thinking (3 cr.)
This course covers the techniques of problem solving, optimization and business modeling using the concepts of statistics and management science in a spreadsheet environment. The course focuses on that practical application of quantitative analytical techniques. Prerequisites: FINP 5008 and QNTP 5002 or equivalents.
MMIS 671 Decision Support Systems (3 cr.)
This course examines concepts of decision support in both automated and non-automated environments. The focus is on application of decision theory, analytical modeling, and simulation techniques to solve organizational problems. Group decision support systems, executive information systems, and expert systems are also discussed. Case studies of existing systems are used to reinforce concepts discussed in class. A major component of the course is a project entailing the design, implementation, and evaluation of a decision support system.
MMIS 630 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 642 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 643 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.
MMIS 692 Capstone Project in Business Intelligence (3 cr.)
This capstone project requires students to employ the knowledge and skills assimilated in the four courses to design and develop a business intelligence application that leads to direct and measurable value for the students’ organization. Prerequisites: MMIS 630 Database Systems, MMIS 642 Data Warehousing, and MMIS 643 Data Mining.