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Graduate Certificate in Business Intelligence

Program Description:

In a knowledge-intensive economy, success depends on an organization's ability to understand trends in its data and exploit it to generate intelligence to gain or maintain competitive advantage. The Graduate Certificate in Business Intelligence (BI) Program is designed to meet the overwhelming need of the industry to transform raw data and information into business intelligence that is used to drive efficiency, maximize the technology investment and strengthen customer relationships.

This certificate program enables managers and system/business analysts to understand how information can be accessed from corporate databases and data warehouses, and how models can be built for a broad variety of decision problems. The modeling techniques that are covered in the program range from traditional statistical models and optimization models to cutting-edge techniques.

Degree at Glance

Degree at a Glance
Number of Credit Hours 18
Cost per Credit Hours $726.00
Total Tuition* $13,068.00
*(Estimated tuition does not include housing, additional fees or supplies, scholarships or transfer credit.)

Program Requirements

The Graduate Certificate program is composed of 6 courses (18 credit hours) in addition to program prerequisites. Students will take four core courses (12 credit hours) and choose two electives (6 credit hours). The Graduate Certificate can be completed within two semesters and courses are available both on campus and online

Area # of Courses Credit Hours
Core Courses 4 12
Electives Courses 2 6
Total 6 18

Sample Schedule

The following is a sample schedule of the possible sequencing of courses in the Graduate Certificate in BI program.

First Semester

Course Code Course Name Credits
CMP 553 Analysis, Modeling and Design 3
CMP 556 Database Systems 3
CMP XXX Program Elective 3
Total Credits 9

Second Semester

Course Code Course Name Credits
CMP 614 Management Information Systems in Supply Chain Management 3
CMP 640 Data Warehousing and Business Intelligence 3
CMP XXX Program Elective 3
Total Credits 9

Program Objectives

Graduates of this program will be able to:

  1. Understand the importance of business intelligence.
  2. Identify factors that can impact organizational competitive capability.
  3. Discuss how to manage information more effectively than competitors.
  4. Identify the importance of informational quality and timeliness.
  5. Use business analytics to improve business processes.

Prerequisite Courses

All new students in this certificate program need certain basic skills before they can enroll in the program. Students who do not have the requisite background in business administration and information technology need to take some or all of the prerequisite courses before they begin studying the courses in the program. In some cases, the program prerequisite courses may have course prerequisites to be taken before enrolling in the program prerequisite courses.

Course Code Course Name Credits
CMP 120
Prerequisite: None
This course introduces algorithmic thinking and problem solving without focusing on any particular language. Students will learn the basic constructs of programming, including variables, constants, expressions, control structures, functions pointers and arrays, and are introduced to functional, decision-based and iterative processing of data.
3
CMP 350
Prerequisite:None
This course introduces the fundamental concepts for design and development of database systems. Topics include: review of relational data model and the relational manipulation languages SQL and QBE; integrity constraints; logical database design, dependency theory and normalization; query processing and optimization; transaction processing, concurrency control, recovery, and security issues in database systems; object-oriented and object-relational databases; distributed databases; emerging database applications.
3
BUSS 301
Prequisite: None
This course surveys the theories and practices of management, including quantitative and behavioral approaches.
3
BUSS 210
Prerequisite: None
This course presents an introduction to the functioning of business enterprises within the US economic framework. Topics include developing a business vocabulary and learning the basic principles and practices of contemporary businesses. Upon completion, students should have an understanding of business concepts that will serve as a foundation for their further studies in the business field.
3

Core Courses

All students are required to take the following four core courses.

Course Code Course Name Credits
CMP 550
Prerequisite:None
3
CMP 553
Prerequisite: None
This course provides an overview of the systems development life cycle. It introduces tools and methods for the analysis and design of information systems and the management and organizational skills needed for their implementation. Information analysis in entity-relationship modeling and process modeling in data flow diagrams will be covered as the key skills in structured system analysis and design.
3
CMP 556
Prerequisite: CMP 350
This course provides an introduction to relational models, normalization, query facilities, transactions, indexing, security issues, relational algebra, SQL database design stages, distributed databases, data warehousing, data and database administration, the JSON data inter-change format, and Internet database environments. Students will learn about various DBMS software products and multi-user database environments and how they are controlled.
3
CMP 640
Prerequisite: CMP 556 Internship / CPT Qualified
This course is an introduction to decision support and Business Intelligence. These topics are combined with practical examples and methods from the real world. The topics covered in this course include: decision making, systems, modeling, and support, decision support systems concepts, methodologies, and technologies, modeling and analysis, business intelligence, data warehousing, data mining for business intelligence, business performance management, and text and web mining, collaboration, communication, group support systems, knowledge management, artificial intelligence and expert systems, and management support systems.
3

Elective Courses

All students must choose two of the following courses.

Course Code Course Code Credits
CMP 558
Prerequisite:CMP 550 or CMP 562
This course is an introduction to the key security concepts required for the design, use, and implementation of secure voice and data communications networks, including the Internet. The security topics covered include defense models, authentication and authorization controls including biometrics, firewalls, packet filtering, virtual private networks (VPNs), security policy development, introduction to wireless network security, cloud computing security, disaster planning, backups, and risks mitigation strategies.
3
CMP 591
Prerequisite: Completion of the Core courses or Dean's approval
This course represents an opportunity for students receive academic credit through supervised practical training and earn industry experience in an actual work environment. The internship course guides the learning contract established in the beginning of the term, on which students have to report at the end of term. Students are expected to work at least 135 hours per semester. Students are required to attend two meetings/seminars with their faculty advisor to determine learning objectives and assess how well learning objectives are being accomplished.
3
CMP 620
Prerequisite: None Internship / CPT Qualified
This course presents an integrated approach to IT governance. It discusses major roadmaps components and IT Governance strategies and frameworks. Topics include strategic alignment of IT with the business, use of assets and resources, delivering on plans and commitments, establishing and/or improving accountability of constituents, managing risk and contingencies, audits, compliance, performance measures and organizational maturity.
3
CMP 630
Prerequisite:: CMP 550/CMP 562 Internship / CPT Qualified
This course examines computer network forensics. The topics covered include digital evidence concepts relating to a digital crime scene; the identification, preservation, collection, examination, analysis, and presentation of evidence for prosecution purposes; network forensics investigative methodology (OSCAR); sources of network-based evidence; evidence acquisition, packet analysis, statistical flow analysis, and wireless network forensics; network intrusion detection and analysis, event log aggregation, correlation and analysis; and malware forensics. The course also studies auditing and compliance requirements and standards, strategies for achieving and maintaining the same, and the laws and ethics related to computer forensics and challenges in computer forensics.
3