Graduate Certificate in Information Technology
The Information Technology (IT) graduate certificate covers all aspects of technology infrastructure, including hardware, operating systems, applications, data storage and communication systems related to business. Companies are highly dependent upon information technology and the professionals that manage the organization’s information technology infrastructure. Critical to the program is the design of the business processes that take advantage of the technologies, the development of managerial procedures and policies to protect these assets and social, legal, financial, organizational and ethical issues in the context of the modern organization.
IT professionals provide customer service with a focus on technology. They work to meet the computer technology needs of business, government, healthcare, schools, and other kinds of organizations. Their emphasis is on the “technology” more than the content or information it conveys. The Information Technology certificate teaches these critical skills in the context of business and technology.
An emphasis is placed on tools and methods for the analysis and design of information systems and the management and organizational skills needed for their implementation. The program covers SAS Visual Analytics, Business Intelligence (BI) Reports, Data Visualization for Problem Solving and other technologies for multidimensional analysis, basic Online Analytical Processing (OLAP) for BI, and SQL with OLAP extensions.
Applicants interested in pursuing a graduate certificate in Information Technology must meet the general admission requirements for Graduate Admissions.
1-2 semesters / 4-8 months
Graduate Certificate in Information Technology Total
This course provides an introduction to the concepts of business process modeling. The concepts covered include encompassing the definition of a process, characteristics of a process-oriented application, business process
analysis, basic design patterns for process control flow used to assemble tasks, and standard graphical
representations used to model a process. The course focuses on the strategic role of information technology and information systems in today’s society. Other relevant and related issues include the identification of the challenges faced by managers of modern firms, the understanding of the technologies that will help them meet these challenges, the design of the business processes to take advantage of the technologies, and the development of managerial procedures and policies to protect these assets.
This course discusses the regulatory context and the ethical implications in which the digital enterprise operates.
Students investigate the context in which professionals work, the laws and the processes and procedures used to
create them, human aspects of running a company, software contracts and liability, intellectual property rights,
and the legislation that affects the way in which computers are used or misused. The course provides student with an opportunity to sharpen their understanding of social, legal, financial, organizational and ethical issues in the context of today’s business environment, as well as the role of professional codes of conduct and ethics, and regulatory requirements.
This course provides an overview of widely used techniques for the design and improvement of information systems and 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 dataflow diagrams will be covered as the key skills in
structured system analysis and design.
This course addresses tools that are used by decision-makers to develop a better understanding of their businesses and customers. Student have the opportunity to assess a broad field of decision support systems, which includes a thorough discussion of SAS Visual Analytics, Business Intelligence (BI) Reports, Data Visualization for Problem Solving and other technologies for multidimensional analysis, basic Online Analytical Processing (OLAP) for BI, and SQL with OLAP extensions.