ANLT5010
Foundations in Analytics
4 quarter credits
Students in this course apply data management fundamentals to data models. Students examine the concepts of data mining, ETLs, and data warehouses and also evaluate applied analytics in professional domains such as finance, marketing, and health care. Prerequisite(s): Completion of or concurrent registration in ANLT5002 or ITEC5020.
4 quarter credits
ANLT5020
Data Sources for Analytics
4 quarter credits
In this course, students explain database methodologies including relational databases, flat files, dimensional modeling, RSS feeds and multi-dimensional modeling. Students examine the impact of data quality on analytics and apply ETL techniques and processes. Finally, students evaluate the application of data warehouses, data marts, and multi-dimensional cubes to decision-making and action. Prerequisite(s): Completion of or concurrent registration in ANLT5010 or HMSV5500.
4 quarter credits
ANLT5030
Statistical Methods in Analytics
4 quarter credits
Students analyze the collection, organization, presentation, analysis, and interpretation of data using statistical methods. Students practice using appropriate tools to obtain a result using statistical methods and collaborate with team members to compare processes, techniques, and conclusions to understand various perspectives. Prerequisite(s): Completion of or concurrent registration in ANLT5020 or HMSV5510.
4 quarter credits
ANLT5070
Text Mining
4 quarter credits
Students in this course gain an understanding of the early stages of text mining. Students examine document management practices, text-scraping techniques, and various methods for modeling their findings as they solve text-based mining problems. Prerequisite(s): ANLT5030. Graduate certificate students in Advanced Analytics Using SAS® are exempt from this prerequisite.
4 quarter credits
ANLT5080
Advanced Analytics and Modeling
4 quarter credits
Students demonstrate advanced practice in applying the analytic life cycle to real-world organizational problems. Students use modern analytics tools to explore data, prepare and transform datasets, build and evaluate predictive models, and score analytic solutions to support decision-making. Emphasis is placed on applied modeling, interpretation of results, ethical use of analytics, effective communication of insights to stakeholders, and project management skills. Prerequisite(s): ANLT5050.
4 quarter credits
ANLT5090
Reporting Solutions with Analytics
4 quarter credits
In this course, students examine reporting solutions that use analytics. Students analyze, select, and apply reporting solutions to fit an organizational need and evaluate different reporting frameworks. Prerequisite(s): ANLT5030.
4 quarter credits
IAS5010
IT Security Fundamentals
4 quarter credits
Students explore foundational cybersecurity concepts and technologies that support the secure design, implementation, and operation of information systems throughout their life cycles. Students examine essential network architectures and components, analyze how data moves through interconnected systems, and assess how those components contribute to system functionality and security. The course introduces common network and security devices such as routers, switches, firewalls, virtual private networks (VPNs), and intrusion detection mechanisms and explains the protocols, controls, and configurations that enable their secure use. Through applied activities and hands-on exercises, students develop practical experience using network security and analysis tools, including an introduction to automation and artificial intelligence-supported security capabilities, to observe network behavior, identify potential weaknesses, and support effective security decision making.
4 quarter credits
IAS5015
Network Security Fundamentals and Cryptography
4 quarter credits
Students apply foundational concepts of cybersecurity and information assurance to select appropriate information security policies, procedures, and controls to defend enterprise information assets from breaches of confidentiality and integrity. Students identify specific points of vulnerability that may be mitigated through the use of administrative security policies and operational information security tools. Students also examine principles of cryptography and some of the security controls and methods that use it. Prerequisite(s): Completion of or concurrent registration in IAS5010 or ITEC5020.
4 quarter credits
IAS5020
Information Security Regulatory and Legal Environment
4 quarter credits
Students apply cyber-defense and information assurance controls in context of the rules and guidelines that influence them and with an understanding of the security standards, responsibilities, rules, regulations, and issues that impact a particular organization. Students identify laws and policies related to cyber-defense and how they relate to the storage and transmission of data. Students also study basic concepts of audit, evidence collection, and chain of custody rules. Prerequisite(s): Completion of or concurrent registration in IAS5015.
4 quarter credits
IAS5025
Operating System Defense
4 quarter credits
Students in this course explore the fundamental security issues related to operating system (OS) defense. Students also employ best practices to harden operating systems and associated software applications using various tools as a part of a layered defense-in-depth strategy. Prerequisite(s): Completion of or concurrent registration in IAS5020.
4 quarter credits
IAS5030
Identifying and Managing Risk
4 quarter credits
Students examine information security risk management principles and methodologies used to identify, analyze, and manage risk within organizational environments. Students evaluate common risk analysis approaches, including their characteristics, advantages, limitations, and practical applications. The course explores diverse sources of risk such as external threat actors, intentional and unintentional insider actions, system misconfigurations, and environmental or structural factors. Students identify vulnerabilities across hardware, software, cloud environments, data assets, and operational procedures that contribute to organizational risk. Through applied labs and scenario-based activities, students perform qualitative and quantitative risk assessments; apply vulnerability testing tools; and evaluate the role of policies, controls, and emerging automation and artificial intelligence-supported techniques in reducing and monitoring cybersecurity risk. Prerequisite: IAS5025
4 quarter credits
IAS5201
Artificial Intelligence in Cybersecurity
4 quarter credits
Students explore how artificial intelligence (AI) capabilities can be used by a cybersecurity team to improve their security process operations. Students take a practitioner focus on how the capabilities can be leveraged. Students present an overview of AI concepts and uses and study various use cases on automating aspects of security processes such as threat intelligence, malware detection, and network security. Other topics include protecting the models themselves, ethical considerations, and emerging trends in AI as they relate to cybersecurity.
4 quarter credits
ITEC5025
Application Development and AI
4 quarter credits
Students use their knowledge of fundamental and advanced programming concepts, skills, programming languages, and Artificial Intelligence (AI) to develop applications. Students apply the essential skills to develop an interface, integrate a database, and incorporate an AI model, to build a sophisticated and intelligent application. Prerequisite(s): ITEC5020.
4 quarter credits
PM5332
Project Management Planning, Execution, and Control
4 quarter credits
This course covers the components of project management within the project planning, executing, monitoring, and controlling process groups. Students identify project requirements and develop a project plan that considers project scope, time, and cost in managing competing project requirements. Students also demonstrate the application of various project management tools including activity estimation, resource assignment, work breakdown structure (WBS) creation and the development of a project management schedule. Prerequisite(s): PM5018, or completion of or concurrent registration in PM5331.
4 quarter credits
PM5333
Project Budgeting, Procurement, and Quality
4 quarter credits
Students investigate project cost, quality, and procurement in business or information technology (IT) project context. Students analyze the fundamental concepts and principles of the following project management knowledge areas: project cost management, project quality management, and project procurement management by demonstrating the application of tools, techniques, and methodologies within these areas of study. Students apply various tools and techniques, in an integrative manner, to manage interdependencies among project management process groups. Prerequisite(s): PM5018 or PM5331, or completion of or concurrent registration in PM5332.
4 quarter credits
PM5334
Project Risk Assessment and Control
4 quarter credits
Students in this course examine and demonstrate their knowledge of the components of project risk management including assessing project risk identification and mitigation strategies; evaluation of risk impact analysis methods; and evaluation of risk analysis techniques to ensure project success. Students also assess project risk management certifications and professional development activities to identify future project risk management professional opportunities. Prerequisite(s): PM5018 or PM5331, or completion of or concurrent registration in PM5333.
4 quarter credits
PM5335
Project Leadership and Management
4 quarter credits
In this course, students examine the role and skills required of project leaders across organizations by exploring a wide range of leadership roles, including manager, problem solver, facilitator, trainer, communicator, and advocate. Students analyze how each of these roles affects the ability to create a cohesive project team, and synthesize a step-by-step approach to leadership and team-building. Finally, students demonstrate an understanding of leadership ethics, leadership and project strategy, and the relationship between leadership and project management politics.
4 quarter credits
PM5336
Agile Project Management Theory and Practice
4 quarter credits
In this course, students apply the Agile Project Management (APM) methodology, which emphasizes an iterative process and adaptation to change in a more flexible and timely manner, achieving higher stakeholder satisfaction, and increasing team morale, collaboration, and results ownership. Students apply Agile practices to address business needs, project goals, and requirements and use Agile to anticipate and manage project risks to achieve successful projects.
4 quarter credits