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Graduate Certificate in Business Intelligence

Program Highlights

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 a competitive advantage. The online 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 online certificate program enables managers and system/business analysts to understand how information can be accessed from corporate databases and data warehouses the program also teaches 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 new techniques.

Degree at Glance

The online graduate certificate program is composed of six (6) courses (18 credit hours), in addition to program prerequisites. Students will take four (4) core courses (12 credit hours) and two (2) electives (6 credit hours).

Area # of Courses Credit Hours
Core courses 4 12
Elective courses 2 6
Total 6 18
GRADUATE CERTIFICATE IN BUSINESS INTELLIGENCE: Core Courses (4 Courses – 12 Credit Hours)
*All students are required to take the following four core courses.
Course Code Course Name Credit Hours
CMP 553

Analysis, Modeling, and Design


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

Database Management Systems I


Prerequisite: CMP 350
This course provides an introduction to hierarchical and relational models, normalization, query facilities, transactions, indexing, security issues, relational algebra, SQL database design stages, distributed databases, data warehousing, data and database administration, and internet database environments. Students will learn various DBMS software products and multi-user database environments and how they are controlled.
3
CMP 614

Management Information Systems in Supply Chain Management


Prerequisite: None
Internship / CPT Qualified
This course explores the following topics: Integrating information systems technology in manufacturing environments; the role of information systems in supporting manufacturing decision-making processes; manufacturing imposed issues in information processing; and emerging information systems technology affecting manufacturing operations.
3
CMP 640

Decision Support and Business Intelligence


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
Total Credit Hours Required 12
GRADUATE CERTIFICATE IN BUSINESS INTELLIGENCE: Elective Courses (2 Courses – 6 Credit Hours)
* Students are required to choose two (2) courses from the elective courses below:
Course Code Course Name Credit Hours
CMP 558

Network and Information Security


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

Graduate Internship Level I


Prerequisite: All Core courses and Academic Advisor'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

Information Technology Governance


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

Information Technology Audit and Forensics


Prerequisite: CMP 558
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
Total Credit Hours Required 6