Purdue University Global 2022-2023 Catalog  

  |    1

INFORMATION SYSTEMS AND IN505M1: Security Issues for Data Analytics

Identify security-related issues in big data system architecture.

TECHNOLOGY (IN/IT) Quarter Credit Hours: 1 | Prerequisite: None

IN505M2: Big Data Security and Privacy Risks
Analyze security and privacy risks in big data analytics systems and big
IN500: Survey of Modern Data Analytics
data processing.
In this course, you will examine current methods and tools for the
Quarter Credit Hours: 1 | Prerequisite: None
collection, storage, processing, and analysis of data in modern
organizations. You will study industry-relevant technologies such as IN505M3: Managing Security Risks in Data Analytics
Hadoop; MapReduce; structured, semi-structured, and unstructured data Evaluate methods to prevent or minimize security risks in data analytics
sources; distributed data systems; relational and NoSQL databases; and systems.
analytics software platforms. Data selection, retrieval, and formatting are Quarter Credit Hours: 1 | Prerequisite: None
also covered. Additionally, you will examine the V's of Big Data - volume, IN505M4: Protecting Big Data
velocity, variety, veracity, valence, and value - and will learn how each Apply techniques to protect big data during processing.
impacts data collection, monitoring, storage, analysis, and reporting. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 4 | Prerequisite: None
IN506: Data Visualization and Knowledge Representation
IN501: Fundamentals of Computer Programming This course integrates data modeling, aggregation, selection, mapping
This course is designed to teach the fundamentals of computer to graphical representations, and visual presentation to enable
programming. You will learn about data types, variables, decisions, interpretation of data and problem-solving. A variety of datasets will be
iteration, input/output, and data structures. Also, you will learn about used to answer questions and report the information appropriately. You
algorithms and how to create them. The Python programming language will examine strengths and weaknesses of various visual choices and will
is used to apply the fundamentals learned in this course. Secure think critically about design choices, such as color schemes, shape and
programming techniques are also emphasized throughout the course. chart/graph types, and presentation options. Industry-wide tools are used
Quarter Credit Hours: 4 | Prerequisite: None to prepare data analysis to make thoughtful decisions.
IN502: Python and R and Statistics Tools Quarter Credit Hours: 4 | Prerequisite: None
This course is designed for you to use Python and R and additional IN507: Data Curation
add-on tools to analyze multiple datasets using standard statistical In this course, you will examine the processes of extracting, transforming,
methods. Standard statistical methods include descriptive statistics, and loading (ETL) data from multiple, seemingly unrelated datasets.
linear and logistic regression, and probability, including Bayes theorem. You will examine the new data to identify and discover new context
The datasets used will be of varying sizes and multiple questions will be and new meanings from the resultant datasets. Additionally, you will
addressed related to the datasets. explore the integration of multi-sourced and independent structured
Quarter Credit Hours: 4 | Prerequisite: None and semi-structured data for analytics. Topics include ETL techniques,
IN503: Introduction to AI transactional databases, data warehouses, data marts, and semi-
This course provides an introduction to the broad field of artificial structured and unstructured data sources.
intelligence. You will gain hands-on experience building machine learning Quarter Credit Hours: 4 | Prerequisite: IN506
models using industry-standard python libraries. The course also covers IN508: Advanced Machine Learning and Artificial Intelligence
important topics such as data preparation pipelines for downstream This course surveys algorithms used in machine learning packages,
machine learning. tree-based methods, clustering, and neural networks. You will complete
Quarter Credit Hours: 4 | Prerequisite: IN504 and IN555 a small project applying, and modifying as necessary, one of these
IN504: Advanced Applications of Python algorithms to a dataset, finishing with a presentation of the project. The
This course furthers your ability to examine large datasets and answer focus will be more in-depth than simply applying the packages, such that
significant questions related to these datasets. You will delve deeper you understand the pseudocode or math used to build the algorithm.
into the use of Python and the related add-ons to resolve more complex Quarter Credit Hours: 4 | Prerequisite: IN503
inquiries and problems. You will learn object-oriented concepts in Python, IN509: Advanced Deep Learning
explain and apply analytical libraries, and review how to integrate Python This course provides an overview of deep learning. You will gain hands-on
programs into the technical ecosystem. experience building deep learning models using industry-standard Python
Quarter Credit Hours: 4 | Prerequisite: None libraries.
IN505: Security for Analytics Quarter Credit Hours: 4 | Prerequisite: IN508
This course focuses on the security issues that are unique to big data IN510: Secure Software Design
and analytics. Some of these security issues include distributed data This course will introduce you to secure software design principles used
and distributed processing, non-relational databases that are designed to develop secure software applications. You will learn to incorporate
more for flexibility than security, broad access to data required, and security into all phases of the development life cycle. Additionally, you will
big data processing in cloud environments. You will explore the data explore well-known software algorithms that can be used when designing
security considerations related to storing and mining big data and will software.
learn methods to properly secure big data. Emphasis will also be paid to Quarter Credit Hours: 4 | Prerequisite: Completed undergraduate degree in
securing data warehouses and data lakes. STEM or approval from the Dean
Quarter Credit Hours: 4 | Prerequisite: None
2   |    Information Systems and Technology (IN/IT)

IN511: Secure Coding IN517: AWS Academy Cloud Developing

This course will introduce you to secure coding practices. You will learn Amazon Web Services (AWS) Academy Cloud Developing is designed
how to avoid coding vulnerabilities and how to implement security to help you gain technical expertise in development using cloud
controls. You will be introduced to a variety of software vulnerabilities technologies and prepare you to take the AWS Certified Developer -
resulting from insecure coding. You will develop various types of Associate exam. The curriculum is delivered through instructor-led
programs demonstrating secure coding standards and will examine classes, knowledge assessments, and hands-on labs. You will also
existing code to detect and fix vulnerabilities. have access to course manuals, online knowledge assessments, a free
Quarter Credit Hours: 4 | Prerequisite: IN510 practice certification exam, and a discount voucher for the certification
exam. While the course may provide you with the knowledge necessary
IN512: Advanced Secure Coding
to sit for an examination, the University cannot guarantee your eligibility
In this course you will learn advanced secure coding techniques. This
either to take an exam or to become certified.
includes advanced programming concepts and secure coding standard
Quarter Credit Hours: 4 | Prerequisite: None
usage. You will also learn to use secure coding practices to prevent
various types of vulnerabilities. IN518: AWS Academy Data Analytics Lab
Quarter Credit Hours: 4 | Prerequisite: IN511 Amazon Web Services (AWS) Academy Data Analytics is a series of lab
exercises that teach you how to conduct big data analysis with practical,
IN513: System and Security Testing
This course introduces you to software testing techniques. This includes real-world examples. You will learn how to analyze extremely large data
sets and create visual representations of that data using a case-study
techniques to adequately verify the security of software applications.
approach.
Some topics covered will be unit testing, functional testing, regression
Quarter Credit Hours: 4 | Prerequisite: None
testing, load testing, vulnerability scanning, and penetration testing.
Quarter Credit Hours: 4 | Prerequisite: IN512 IN519: AWS Academy Cloud Operations
Amazon Web Services (AWS) Academy Cloud Operations is designed to
IN514: Secure Development and Operations - SecDevOps
prepare you to pursue entry-level DevOps, support, and cloud operations
This course introduces you to the collaboration of development and
roles. It will also help prepare you to take the AWS SysOps Administrator
operations teams and how the integration of security in all facets of
- Associate exam. Emphasizing best practices in the AWS Cloud and
the software lifecycle results in secure development and operations
recommended design patterns, this course will teach you how to solve
(SecDevOps). By implementing SecDevOps in an organization, you will
problems and troubleshoot various scenarios. The course will show you
help to deliver software that is more secure and of quality. In addition,
how to create automatable and repeatable deployments of networks
you will learn about supply chain analysis and procurement and how this
and systems on AWS and covers specific AWS features and tools
plays a part in delivering secure software systems.
related to configuration and deployment. Through case studies and
Quarter Credit Hours: 4 | Prerequisite: IN513
demonstrations, you will learn how some AWS customers design their
IN515: AWS Academy Cloud Foundations infrastructures and implement various strategies and services. You will
Amazon Web Services (AWS) Academy Cloud Foundations is intended also have the opportunity to build a variety of infrastructures via guided,
to help you seek an overall understanding of cloud computing concepts, hands-on activities. While the course may provide you with the knowledge
independent of specific technical roles. It provides a detailed overview necessary to sit for an examination, the University cannot guarantee your
of cloud concepts, AWS core services, security, architecture, pricing, and eligibility either to take an exam or to become certified.
support. Quarter Credit Hours: 4 | Prerequisite: None
Quarter Credit Hours: 4 | Prerequisite: None
IN530: Blockchain Fundamentals
IN516: AWS Academy Cloud Architecting This course introduces you to a high-level overview of important
Amazon Web Services (AWS) Academy Cloud Architecting covers the concepts of blockchain technology. This includes exploring the Bitcoin
fundamentals of building information technology (IT) infrastructure and Ethereum protocols and decentralized peer-to-peer networks, the
on AWS. The course is designed to teach solutions architects how to distributed ledger and trust models that define a blockchain. In addition,
optimize their use of the AWS Cloud by understanding AWS services and you will learn about underlying algorithms used for the components
how they fit into cloud-based solutions. Although architectural solutions of blockchain such as transaction, block, block header, chain, and
can differ depending on the industry, type of application, and size of the operations like verification, validation, and the census model. Finally, you
business, this course emphasizes best practices for the AWS Cloud that will learn how cryptography and hashing are essential for a blockchain.
apply to all of them. It also recommends various design patterns to help Quarter Credit Hours: 4 | Prerequisite: None
you think through the process of architecting optimal IT solutions on
IN531: Smart Contracts and the Solidity Programming Language
AWS. Throughout the course, you will explore case studies that showcase
In this course, you will learn about the power of smart contracts. Smart
how some AWS customers have designed their infrastructures and the
contracts provide a computational element of blockchain technology that
strategies and services that they have implemented. Finally, this course
is not possible through the typical cryptocurrency (Bitcoin/Litecoin, etc.)
provides opportunities for you to build a variety of infrastructures through
protocols. You will be introduced to the Solidity programming language.
a guided, hands-on approach.
Solidity is used to properly design, implement, and test conditions, rules,
Quarter Credit Hours: 4 | Prerequisite: None
and policies for smart contract applications on Ethereum blockchain.
Quarter Credit Hours: 4 | Prerequisite: IN530
 Purdue University Global 2022-2023 Catalog    |    3

IN532: Developing Decentralized Applications (dApps) IN563: Secure Supply Chain

In this course, you will learn about designing, developing/coding, testing, Supply chains are increasingly complex, interconnected, and dependent
and deploying an end-to-end decentralized application (dApp). By doing on digitization and modern technologies, exposing them to unique
this, end-users will be able to access blockchain features and services. cybersecurity risks and the need for new regulatory requirements. This
Also, you learn about the architecture of a dApp, which includes the course explores domestic and global supply chain evolution and how
end-user interface powered by blockchain smart contracts. You will be this evolution affects supply chain cybersecurity. You will analyze real-
exposed to development and testing tools. Finally, you will learn about world supply chain security scenarios, evaluate threats, and recommend
emerging standards and technology to ensure that dApps function as mitigation approaches.
designed. Quarter Credit Hours: 4 | Prerequisite: IN554
Quarter Credit Hours: 4 | Prerequisite: IN531 IN564: Critical Infrastructure Sector Security
IN554: Introduction to Critical Infrastructure Security There are sixteen critical infrastructure sectors that are considered so
This course introduces definitions and core principles relevant to vital to the U.S. that the destruction of assets, systems, and networks in
critical infrastructure cybersecurity. The course will explore the National these sectors would debilitate national economic security, cybersecurity,
Infrastructure Protection Plan as a framework for understanding critical national public health and safety, or all potential combinations.
infrastructure security. The sixteen sectors of critical infrastructure, as The sixteen sectors include (1) commercial facilities, (2) critical
defined by Cybersecurity and Infrastructure Security Agency (CISA), will manufacturing, (3) communication, (4) chemical, (5) defense, (6)
be explored in terms of specific threats, vulnerabilities, and mitigations. dams, (7) emergency services, (8) food and agriculture, (9) energy, (10)
The 16 sectors are Chemical; Commercial Facilities; Communications; financial, (11) government, (12) healthcare and public health, (13) nuclear,
Critical Manufacturing; Dams; Defense Industrial Base; Emergency (14) information technology, (15) transportation, and (16) water and
Services; Energy; Financial Services; Food and Agriculture; Government wastewater. This class will take a case-study approach to understanding
Facilities; Healthcare and Public Health; Information Technology; Nuclear and analyzing security needs within each sector.
Reactors, Materials, and Waste; Transportation Systems; and Water and Quarter Credit Hours: 4 | Prerequisite: IN554
Wastewater Systems. Industrial Control Systems (ICS) and Operational IN565: Critical Urban Infrastructure Security
Technology will also be explored in-depth. The course will answer who This course looks at urban critical infrastructure and related security
the actors and agents are in critical infrastructure and what security needs for critical assets, systems, and networks in cities and towns.
technologies and processes are needed to protect critical infrastructure. Quarter Credit Hours: 4 | Prerequisite: IN554
You will learn how to perform a cybersecurity vulnerability assessment
for critical infrastructure. IN569: Global Cyber Defense
Quarter Credit Hours: 4 | Prerequisite: None The expanding nature of cybercrime, cyber warfare, and malicious cyber-
attacks that emerge from and are related to pandemics, wars, geopolitics,
IN555: Statistics for Analytics and expanded global crimes is driving the need for a cooperative global
This course provides you with an introduction to statistics. Topics include cyber defense approach. While countries have national cybersecurity
descriptive statistics, slopes and lines, correlation and linear regression, regulations and laws, there is a need for a collaborative discussion
probability, confidence testing and hypothesis testing, and Chi-square about international norms that guide responsible cyberspace behavior
inference and ANOVA. You will use software to develop skills in data- at a global level. The Cybersecurity & Infrastructure Agency (CISA), the
based problem solving. Joint Cyber Defense Collaborative (JCDC), the Center for Strategies
Quarter Credit Hours: 4 | Prerequisite: None and International Studies (CSIS), and NATO are organizations currently
IN560: Open Source Operating System Administration working toward this goal. This course will examine the existing global
This course provides you with comprehensive coverage of topics threats and global defense strategies in the following categories: national
related to the administration of an open-source operating system, strategies, military strategies, digital content, personal data privacy,
including distributions, installation, administration management, cloud critical infrastructure, digital commerce, and cybercrime. The course
technologies, networking, and security. will also explore how global cyberspace norms can be promoted and
Quarter Credit Hours: 4 | Prerequisite: None implemented, and you will learn about the organizations active in making
this happen. The course will prepare you to become global cybersecurity
IN561: Cloud Computing
leaders and prepare you to support and enable improved global cyber
This course provides you with a wide overview of vendor-independent
defense.
cloud computing technology concepts and methods. Specific topics
Quarter Credit Hours: 4 | Prerequisite: None
include cloud architecture and design, cloud security, deployment,
operations and support, and cloud troubleshooting. IN596: Master's-Level Data Analytics Internship I
Quarter Credit Hours: 4 | Prerequisite: None The internship provides you with an opportunity to learn about careers in
the field of data analytics through practical, real-world experiences and
IN562: Cyber Threat Intelligence
mentoring from data analytics professionals. This experience will improve
In this course, you will determine the benefits of threat intelligence
your professional skills and your understanding of the expertise needed
within an organization. You will examine the intelligence cycle to include
for career success.
planning, collecting, processing and exploitation, and dissemination and
Quarter Credit Hours: 2 | Prerequisite: Second to last term and good
feedback. Your intelligence findings will enable you to illustrate a threat
academic standing, or the permission of the Dean of the School of
actor's targets, motives, and attack behaviors and to formulate a cyber
Business and Information Technology
threat intelligence program to help an organization be more proactive
with security situations.
Quarter Credit Hours: 4 | Prerequisite: None
4   |    Information Systems and Technology (IN/IT)

IN597: Master's-Level Data Analytics Internship II IT510M3: System Physical Attributes

The internship provides you with an opportunity to learn about careers in Evaluate physical attributes of networks and web presence for a system.
the field of data analytics through practical, real-world experiences and Quarter Credit Hours: 1 | Prerequisite: IT504
mentoring from data analytics professionals. This experience will improve IT510M4: Written Proposals for System Analysis and Design
your professional skills and your understanding of the expertise needed Defend systems analysis and decision-making through a formal written
for career success.
proposal.
Quarter Credit Hours: 2 | Prerequisite: IN596 Quarter Credit Hours: 1 | Prerequisite: IT504
IN599: Master's Capstone in Data Analytics
IT511: Information Systems Project Management
This course synthesizes knowledge gained throughout all courses in
This course prepares you to be successful with project planning and
your degree plan, and its comprehensive applied project demonstrates
execution. The topics are aligned with the approaches most commonly
your mastery of this knowledge, as well as your relevant skills and
used in organizations, which include predictive (traditional), agile, and
abilities. The project will address an analytics case study in either the
hybrid project management. You will learn key project planning and
research community or industry and will indicate what you now offer to
execution concepts and apply those concepts to an IT project of your
the industry upon completion of this program.
own design.
Quarter Credit Hours: 4 | Prerequisite: Last term or permission from the
Quarter Credit Hours: 4 | Prerequisite: IT504
Dean
IT511M1: Project Management Approaches for Information Technology
IT504: Managing Information Technology in a Business Environment Investigate project management approaches.
Business strategies, organizational structures, and information Quarter Credit Hours: 1 | Prerequisite: IT504
technology must be aligned to achieve organizational goals. In this
course, you will identify innovative solutions to business problems. IT511M2: Project Planning Principles
Specific topics include the analysis of cost and benefits found in Explain principles for planning projects.
emerging technologies, the legal and regulatory implications of Quarter Credit Hours: 1 | Prerequisite: IT504
various information technology infrastructure strategies, and the IT511M3: Project Execution Principles
complexity enterprises face in integrating new technology with existing Explain principles for executing projects.
infrastructure (humans, machines, and processes). Quarter Credit Hours: 1 | Prerequisite: IT504
Quarter Credit Hours: 4 | Prerequisite: None
IT511M4: Information Systems Project Plan
IT504M1: Business Strategies in Information Technology Develop an information systems project plan.
Assess business strategies as aligned to technology needs through Quarter Credit Hours: 1 | Prerequisite: IT504
appropriate communication techniques.
IT513: Research and Writing for the IT Professional
Quarter Credit Hours: 1 | Prerequisite: None
This course helps you develop the ability to research, synthesize,
IT504M2: Laws, Rules, Regulations, and Ethical Principles in Information evaluate, discuss, and write about a variety of information technology
Technology concepts. Accurate grammar, suitable organization of ideas, and a
Defend laws, rules, regulations, and ethical principles relating to formal writing style appropriate for IT professionals are emphasized, as
technology and the workplace. well as the application of American Psychological Association (APA)
Quarter Credit Hours: 1 | Prerequisite: None style guidelines for writing, formatting, and citation/referencing. You
IT504M3: Technical Documentation will receive a comprehensive introduction to graduate-level writing and
Prepare documentation for hardware, software, and other client-related research while investigating technology topics of interest to you.
technology decisions. Quarter Credit Hours: 4 | Prerequisite: None
Quarter Credit Hours: 1 | Prerequisite: None IT513M1: Using Professional Language
IT504M4: Organizational Functions in Information Technology Illustrate information technology ideas with professional language and
Determine hiring, funding, and other functions within an organization. attribution.
Quarter Credit Hours: 1 | Prerequisite: None Quarter Credit Hours: 1 | Prerequisite: None

IT510: Systems Analysis and Design IT513M2: Preparing Research

This course provides a detailed overview of system analysis and design Prepare high-level research into information technology concepts with
methodologies. You will examine techniques to develop systems more critical assessment and proper attribution.
efficiently, such as the system development life cycle (SDLC) and other Quarter Credit Hours: 1 | Prerequisite: None
processes. System requirements, functional design, display, and end-of- IT513M3: Developing Research
project conclusions and analysis are studied and practiced through a Develop academic research, idea organization, writing, and formatting
variety of activities. standards for a professionally written outcome on an information
Quarter Credit Hours: 4 | Prerequisite: IT504 technology topic.
IT510M1: System Planning, Analysis, and Logic Processes Quarter Credit Hours: 1 | Prerequisite: None
Assess commonly used systems planning, analysis, and logic processes. IT513M4: Synthesizing Solutions
Quarter Credit Hours: 1 | Prerequisite: IT504 Synthesize solutions to clients' technology problems using research,
IT510M2: Data Organization Process appropriate writing styles, and a suitable business format.
Draft data organization using a variety of industry-standard methods. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 1 | Prerequisite: IT504
 Purdue University Global 2022-2023 Catalog    |    5

IT521: Decision Support Systems IT523M2: Data Warehouse Development Techniques

This course provides a detailed overview of decision-making systems, Develop data warehouse development techniques by developing a
models, and support in business. The course covers many fundamental dimensional data model.
topics including: analysis and development of decision support systems, Quarter Credit Hours: 1 | Prerequisite: None
business intelligence, knowledge acquisition and representation, IT523M3: Working With Unstructured Data
knowledge management, intelligent systems over the Internet, and Examine data warehousing techniques, tools, and environments for
advanced intelligent systems. working with unstructured data.
Quarter Credit Hours: 4 | Prerequisite: None Quarter Credit Hours: 1 | Prerequisite: None
IT521M1: Decision Support Systems Methodologies IT523M4: Advanced Data Warehouse Topics
Compare decision support systems methodologies. Examine advanced data warehouse topics.
Quarter Credit Hours: 1 | Prerequisite: None Quarter Credit Hours: 1 | Prerequisite: None
IT521M2: Business Intelligence Systems IT525: Database Design and Data Modeling
Analyze business intelligence systems. This course discusses the main tasks in designing a database and will
Quarter Credit Hours: 1 | Prerequisite: None use entity-relationship diagram (ERD) tools in this process. The course
IT521M3: Artificial Intelligence Systems covers fundamental design topics including: data modeling, entity-
Examine artificial intelligence systems. relationship diagrams, enhanced entity-relationship diagrams, the top-
Quarter Credit Hours: 1 | Prerequisite: None down database design methodology, the bottom-up database design
methodology, functional dependencies, and the normalization process.
IT521M4: Knowledge Management Concepts
The course will also introduce you to advanced topics of database
Assess the role of knowledge management in decision support.
management.
Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 4 | Prerequisite: None
IT522: Knowledge-Based Management Systems
IT525M1: Data Modeling Concepts
This course provides a detailed overview of knowledge-based systems
Use data modeling concepts.
techniques and applications. Topics include symbolic structures and
Quarter Credit Hours: 1 | Prerequisite: None
semantics, knowledge representation models, search techniques
related to problem solving, knowledge engineering, knowledge and IT525M2: Designing Databases Using Entity-Relationship Diagrams
domain classification models, configuration models, and diagnosis and Use entity-relationship diagrams in the design of a database.
troubleshooting methodologies. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 4 | Prerequisite: IT521 IT525M3: Three Normal Forms
IT522M1: Knowledge Concepts Construct relations in first, second, and third normal form.
Examine the meaning, creation, and use of knowledge. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 1 | Prerequisite: IT521 IT525M4: Advanced Concepts in Database Design
IT522M2: Knowledge Management Systems Impacts Analyze advanced database concepts.
Evaluate how organizations are impacted by knowledge management Quarter Credit Hours: 1 | Prerequisite: None
systems. IT526: SQL Query Design
Quarter Credit Hours: 1 | Prerequisite: IT521 This course covers the Structured Query Language (SQL) programming
IT522M3: Knowledge Management in Organizations language and its use to retrieve and modify data in a relational database.
Explain how knowledge is generated, transferred, represented, and Methods of ensuring data isolation and consistency are explored.
exchanged in an organization. Designing queries for optimum performance is emphasized. Query
Quarter Credit Hours: 1 | Prerequisite: IT521 execution plans will be used as a tool for creating appropriate indexes to
improve query performance.
IT522M4: The Case for Knowledge Management
Quarter Credit Hours: 4 | Prerequisite: IT525
Recommend a knowledge management system business case.
Quarter Credit Hours: 1 | Prerequisite: IT521 IT526M1: Using a Relational Database Management System
Use a Relational Database Management System (RDBMS) for effective
IT523: Data Warehousing Design and Development
database installation and manipulation.
This course discusses data warehousing. Topics covered in this
Quarter Credit Hours: 1 | Prerequisite: IT525
course include: data warehousing architectures; data warehouse
design; data warehouse dimensional modeling; data preparation and IT526M2: SQL Single Table Query Commands
pre-processing; extraction, translation, and load (ETL) processing; Apply SQL single table query commands effectively.
business intelligence; executive information systems; dashboards; Quarter Credit Hours: 1 | Prerequisite: IT525
scorecards; drill up/drill down; slice and dice; managing unstructured IT526M3: Composing Structured Query Language Queries
data warehouses; terminologies, taxonomies, and ontologies and Compose Structured Query Language (SQL) queries for database
advanced data warehousing concepts. Advanced data warehousing information analysis.
concepts will include data warehouse appliances, big data, and big data Quarter Credit Hours: 1 | Prerequisite: IT525
technologies.
Quarter Credit Hours: 4 | Prerequisite: None IT526M4: Designing Structured Query Language Syntax
Design Structured Query Language (SQL) syntax to summarize and group
IT523M1: Data Warehouse Design Concepts data.
Review data warehouse architectures and modeling techniques. Quarter Credit Hours: 1 | Prerequisite: IT525
Quarter Credit Hours: 1 | Prerequisite: None
6   |    Information Systems and Technology (IN/IT)

IT527: Foundations in Data Analytics IT530: Computer Networks

This course is intended to equip you with foundational skills in data This course introduces data communications and networking
analytics. These skills include problem/question definition, data technologies from the business perspective by heavily utilizing case
identification and preparation, statistical and/or logical modeling, and studies and the decision-making process. Topics consist of network
evaluation and deployment. The course covers both categorization operating systems, local and wide area networks, and voice and wireless
and prediction modeling, along with selecting the most appropriate networks, as well as security and the internet. The focus will be on
methods for a given question and data set. The course uses industry practical applications of these concepts, including support issues,
standard software to enable you to learn analytical approaches, such administration, and management.
as descriptive and inferential statistics, clustering and correlation, Quarter Credit Hours: 4 | Prerequisite: None
significance testing, power analysis, and other useful analytic techniques. IT530M1: Business Impact of Virtualization
Quarter Credit Hours: 4 | Prerequisite: None Examine the business impact of virtualization.
IT527M1: Documenting Business Problems Quarter Credit Hours: 1 | Prerequisite: None
Outline a business problem to document the sources and types of data IT530M2: Centralized Server Architecture
needed to address the issue. Explore a centralized server architecture (client-server model).
Quarter Credit Hours: 1 | Prerequisite: None Quarter Credit Hours: 1 | Prerequisite: None
IT527M2: Dataset Quality and Formatting IT530M3: Security Groups and Access
Describe the quality and formatting of datasets used in investigating Analyze scenarios involving security groups and access to network
business problems. resources.
Quarter Credit Hours: 1 | Prerequisite: None Quarter Credit Hours: 1 | Prerequisite: None
IT527M3: Preparing Datasets for Analysis IT530M4: Protocols and Topologies
Prepare a dataset for analysis by formatting, augmenting or reducing, and Explore management aspects of protocols and topologies.
transforming variables and observations. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 1 | Prerequisite: None
IT535: Advanced Network Management
IT527M4: Constructing Data Analytics Models
Today's challenges in networking are focused on the design of cost-
Construct useable and effective data analytics models incorporating
effective networks and keeping pace with emerging technologies. Topics
industry-recognized software and standard algorithms.
include analysis and design models, Quality of Service (QoS), high-speed
Quarter Credit Hours: 1 | Prerequisite: None
protocols, Voice over IP, and optical networks. This course will include the
IT528: Quantitative Risk Analysis applied management perspective of advanced networking protocols as it
This course teaches you methodologies for using data analytics to pertains to administration and maintenance of networks.
detect, identify, and mitigate risk in a variety of forms. A variety of Quarter Credit Hours: 4 | Prerequisite: None
different quantitative risk assessment techniques are presented, IT535M1: Routing Protocols
including Failure Mode and Effects Analysis, fault tree analysis, expected Analyze switching, LAN, and internet routing protocols.
payoffs, decision trees, and more. The case method is utilized to show Quarter Credit Hours: 1 | Prerequisite: None
real-world applications in finance, engineering, project management, loss/
theft, loans, and fraud. The course will focus on formal risk processes. IT535M2: Technology Integration Planning
Issues of risk analysis ethics will also be included. Construct a plan to integrate technology into a computer network.
Quarter Credit Hours: 4 | Prerequisite: IN501 or IT527 Quarter Credit Hours: 1 | Prerequisite: None

IT528M1: Common Risks and Their Ramifications IT535M3: Network Analysis and Design Modeling
Enumerate common types of risks and their potential ramifications for Create an analysis and design model for a computer network.
modern business. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 1 | Prerequisite: IN501 or IT527 IT535M4: Network Security Problems
IT528M2: Assessing Risks Assess the impact of network security problems.
Apply quantitative and qualitative methods to assess, prioritize, and Quarter Credit Hours: 1 | Prerequisite: None
report risks. IT537: Introduction to Cybersecurity
Quarter Credit Hours: 1 | Prerequisite: IN501 or IT527 This course provides an overview of cybersecurity concepts including
IT528M3: Addressing Risks data confidentiality, integrity, and availability, and an understanding
Develop appropriate action plans that address risks. of systems and applications software necessary for foundational
Quarter Credit Hours: 1 | Prerequisite: IN501 or IT527 understanding of cybersecurity. You will examine methods for network
situational awareness and dynamic decision-making for predicting and
IT528M4: Addressing Ethical Pitfalls
assessing the impact of various cyberattacks. Aspects of cyber-strong
Recommend proactive measures to address ethical pitfalls to risk
organizational structures and mitigation are emphasized. The course
analytics activities.
will also cover various risk assessment methodologies necessary for
Quarter Credit Hours: 1 | Prerequisite: IN501 or IT527
understanding cyber risk, organizational preparedness and gap areas,
and identifying improvement processes for an organization's decision
makers.
Quarter Credit Hours: 4 | Prerequisite: None
 Purdue University Global 2022-2023 Catalog    |    7

IT537M1: Cybersecurity Processes IT542M4: Addressing Security Vulnerabilities

Assess appropriate cybersecurity processes for addressing appropriate Recommend security solutions to address discovered vulnerabilities.
outcomes. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 1 | Prerequisite: None
IT543: Cryptography Concepts and Techniques
IT537M2: Cybersecurity Threats and Risk Assessment Never before has the use of cryptography been so wide spread or so
Synthesize cybersecurity threats and their potential consequences to necessary. In this course, you will learn how to protect susceptible
assess risk. networks from attack by implementing encryption techniques. You will
Quarter Credit Hours: 1 | Prerequisite: None examine encryption algorithms, substitution and transposition, block
IT537M3: Cybersecurity Scenario Strategies ciphers versus stream ciphers, public key cryptography, hash functions,
Analyze technical scenario elements to determine strategy. digital signatures, and authentication protocols. The course offers hands-
Quarter Credit Hours: 1 | Prerequisite: None on projects using modern cryptographic tools.
Quarter Credit Hours: 4 | Prerequisite: None
IT537M4: Effective Cybersecurity Solutions
Relate cybersecurity risk or vulnerabilities to effective security solutions. IT543M1: Development and Principles of Cryptography
Quarter Credit Hours: 1 | Prerequisite: None Examine the historical development and basic principles of cryptography.
Quarter Credit Hours: 1 | Prerequisite: None
IT540: Management of Information Security
IT543M2: Cryptographic Methods
IT professionals must focus on a wide range of security-related issues
Evaluate various cryptographic methods.
and develop security systems that address constantly changing threats.
Quarter Credit Hours: 1 | Prerequisite: None
This course takes the approach that security components and business
functions work in tandem. Topics like asset identification, human factors, IT543M3: Cryptographic Methods for Secure Communications
compliance with regulations, personnel security, risk assessment, and Develop secure communications using cryptographic methods.
ethical considerations are covered, as well as computer and network Quarter Credit Hours: 1 | Prerequisite: None
security tools and methods.
IT543M4: Implementing Cryptographic Methods
Quarter Credit Hours: 4 | Prerequisite: None Design an implementation of cryptographic methods for an organization.
IT540M1: Security Policies Quarter Credit Hours: 1 | Prerequisite: None
Implement a computer network security policy.
IT544: Platforms, Applications, and Data Security
Quarter Credit Hours: 1 | Prerequisite: None
In this course you will appraise platform/operating system software
IT540M2: Securing Data configuration strategies and techniques as related to cybersecurity.
Secure computer network data. You will examine secure application development techniques and the
Quarter Credit Hours: 1 | Prerequisite: None role of application security throughout the software development life
IT540M3: Disaster Recovery Planning cycle (SDLC). This course will also include strategies and techniques for
Develop a computer network disaster recovery plan. securing data at rest and in motion.
Quarter Credit Hours: 1 | Prerequisite: None Quarter Credit Hours: 4 | Prerequisite: None

IT540M4: Regulatory Compliance IT544M1: Systems and Software Vulnerabilities

Assess computer networks for regulatory compliance. Determine vulnerabilities in both systems and application software
Quarter Credit Hours: 1 | Prerequisite: None configurations.
Quarter Credit Hours: 1 | Prerequisite: None
IT542: Ethical Hacking and Network Defense
IT544M2: Cybersecurity Software Development Life Cycle
An ethical hacker is a security expert who attacks a system on behalf
Analyze the cybersecurity software development life cycle (SDLC).
of the system's owners. This course focuses on discovering network
Quarter Credit Hours: 1 | Prerequisite: None
vulnerabilities that a malicious hacker can exploit. The course explores
penetration testing, footprinting and social engineering, scanning and IT544M3: Cybersecurity Mitigation Strategies
enumeration, operating system weaknesses, and the methods used to Assess appropriate cybersecurity mitigation strategies that are specific
hack web servers and wireless networks. You will perform hands-on to software systems.
projects using state-of-art hacking tools and techniques. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 4 | Prerequisite: None IT544M4: Solutions for Securing Software Systems
IT542M1: Methods for Reconnaissance and Social Engineering Relate cyber risk or vulnerabilities to effective solutions for securing
Analyze the methods used by ethical hackers to perform reconnaissance software systems.
and social engineering. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 1 | Prerequisite: None
IT545: Wireless, Mobile, and Cloud Security
IT542M2: Vulnerability Testing This course examines strategies for managing the administration of
Perform vulnerability tests using computer and network tools and wireless, mobile, cloud, and disruptive technological environments,
utilities. such as social networking and the Internet of Things, in the context of
Quarter Credit Hours: 1 | Prerequisite: None cybersecurity.
IT542M3: Best Practices to Address Threats Quarter Credit Hours: 4 | Prerequisite: None
Develop best practices to address web server and wireless network
threats.
Quarter Credit Hours: 1 | Prerequisite: None
8   |    Information Systems and Technology (IN/IT)

IT545M1: Wireless, Mobile, and Cloud Cybersecurity Processes IT590M4: Case Studies on Ethical Issues
Assess appropriate cybersecurity processes for wireless, mobile, and Evaluate ethical issues in information technology case studies.
cloud infrastructures, as well as disruptive technologies. Quarter Credit Hours: 1 | Prerequisite: IT513 or GB512
Quarter Credit Hours: 1 | Prerequisite: None
IT591: IT Security Auditing and Assessments
IT545M2: Wireless, Mobile, and Cloud Cybersecurity Threats In this course you will appraise all standards and information
Synthesize knowledge of cybersecurity threats to assess risk in wireless, technology (IT) security audit processes, evaluate security controls, and
mobile, and cloud infrastructures, as well as disruptive technologies. examine governance of compliance and control responsibilities. Most
Quarter Credit Hours: 1 | Prerequisite: None organizations are required to comply with IT security regulations and/or
IT545M3: Wireless, Mobile, and Cloud Cybersecurity Strategies standards resulting from the establishment of the Sarbanes-Oxley Act,
Analyze scenarios related to wireless, mobile, and cloud infrastructures, General Computing Controls, the Gramm-Leach-Bliley Act (GLBA), the
as well as disruptive technologies, to determine cybersecurity strategies. Federal Information Security Management Act (FISMA), and the Payment
Quarter Credit Hours: 1 | Prerequisite: None Card Industry Data Security Standard (PCI DSS), and you will become
familiar with these standards and regulations.
IT545M4: Wireless, Mobile, and Cloud Cybersecurity Solutions Quarter Credit Hours: 4 | Prerequisite: None
Analyze cybersecurity risks or vulnerabilities within wireless, mobile,
and cloud infrastructures, as well as disruptive technologies, to develop IT591M1: IT Security Governance
effective cybersecurity solutions. Develop an IT governance strategy for an organization.
Quarter Credit Hours: 1 | Prerequisite: None Quarter Credit Hours: 1 | Prerequisite: None
IT591M2: Cybersecurity Industry Standards and Regulations
IT550: Computer Forensics and Investigations
Assess cybersecurity industry standards, compliance, regulations, and
This course explores the expertise required to conduct digital forensic
laws.
investigations. Topics include investigation methods, problem-solving
Quarter Credit Hours: 1 | Prerequisite: None
techniques, current forensics analysis tools, digital evidence acquisition
and control, and impact of ongoing technological changes on digital IT591M3: IT Security Auditing Processes
forensics. Student projects include scenario-based investigations in Apply auditing processes within a technical scenario.
investigating cybersecurity breaches. Quarter Credit Hours: 1 | Prerequisite: None
Quarter Credit Hours: 4 | Prerequisite: None IT591M4: IT Security Compliance Strategies
IT550M1: Forensic Methods for Investigating Breaches Analyze technical scenario elements for industry standards, compliance
Analyze forensic methods used to investigate cybersecurity breaches. regulations, and laws to determine strategy.
Quarter Credit Hours: 1 | Prerequisite: None Quarter Credit Hours: 1 | Prerequisite: None
IT550M2: Scenario-Based Investigations IT592: Financial Decision-Making in IT and Security
Perform scenario-based investigations for cybersecurity breaches. This course introduces you to budgetary and financial decision-making
Quarter Credit Hours: 1 | Prerequisite: None tools applicable to an organization's information technology and security
IT550M3: Forensic Analysis Tools strategy. Effective use of these decision-making tools will enable future
Evaluate forensic analysis tools for acquiring and preserving digital information technology and security leaders to justify resources needed
evidence during the e-discovery process. for information technology and security solutions.
Quarter Credit Hours: 1 | Prerequisite: None Quarter Credit Hours: 4 | Prerequisite: IT540; IT528 recommended

IT550M4: The Impact of Technological Changes IT592M1: Financial Tools for Technical Environments
Analyze the impact of technological changes on digital forensics Analyze effective financial tools for technical environments.
techniques. Quarter Credit Hours: 1 | Prerequisite: IT540; IT528 recommended
Quarter Credit Hours: 1 | Prerequisite: None IT592M2: IT Financial and Business Risks
Synthesize financial and business risks to develop long- and short-term
IT590: Legal and Ethical Issues in IT
strategic plans.
This course provides a detailed discussion of the legal and ethical issues
Quarter Credit Hours: 1 | Prerequisite: IT540; IT528 recommended
associated with the information technology age. Topics covered in
this course include: ethical theories related to information technology, IT592M3: IT Finance Technical Strategies
protection of intellectual property, privacy, computer and network security, Create technical strategies to allow an organization to meet its financial
cybercrimes, and ethical behavior for working in the computer industry. objectives.
Quarter Credit Hours: 4 | Prerequisite: IT513 or GB512 Quarter Credit Hours: 1 | Prerequisite: IT540; IT528 recommended
IT590M1: Law and Ethics Issues IT592M4: IT Finance Strategic Alignment
Analyze legal and ethical issues in the field of information technology. Evaluate the components of technical plans or frameworks for strategic
Quarter Credit Hours: 1 | Prerequisite: IT513 or GB512 alignment with an organization's mission.
Quarter Credit Hours: 1 | Prerequisite: IT540; IT528 recommended
IT590M2: Laws and Ethical Computing
Discuss recent legislation related to ethical computing.
Quarter Credit Hours: 1 | Prerequisite: IT513 or GB512
IT590M3: The Relationship of Ethical Conduct to Culture
Compare ethical conduct related to information technology across
different cultures.
Quarter Credit Hours: 1 | Prerequisite: IT513 or GB512
 Purdue University Global 2022-2023 Catalog    |    9

IT593: Master's-Level Cybersecurity Management Internship I

The internship provides you with an opportunity to learn about careers
in the field of cybersecurity management through practical, real-world
experiences and mentoring from cybersecurity professionals. This
experience will improve your professional skills and your understanding
of the expertise needed for career success.
Quarter Credit Hours: 2 | Prerequisite: Second to last term and good
academic standing, or the permission of the Dean of the School of
Business and Information Technology
IT594: Master's-Level Cybersecurity Management Internship II
The internship provides you with an opportunity to learn about careers
in the field of cybersecurity managements through practical, real-world
experiences and mentoring from cybersecurity professionals. This
experience will improve your professional skills and your understanding
of the expertise needed for career success.
Quarter Credit Hours: 2 | Prerequisite: IT593
IT595: Master's Capstone in Cybersecurity Management
The Master's Capstone in Cybersecurity Management synthesizes
knowledge gained throughout all courses in the degree plan, and its
comprehensive project demonstrates your mastery of this knowledge.
The project will address a cybersecurity problem in either the research
community or industry, and will indicate what you now offer to the
industry, upon completion of this program.
Quarter Credit Hours: 4 | Prerequisite: Last term or permission from the
Dean
IT596: IT Graduate Capstone Extension Course
This course should only be taken after IT 595: Master's Capstone in
Cybersecurity Management or IT 599: Master's Capstone in Information
Technology for the specific purpose of capstone project or thesis
completion.
Quarter Credit Hours: 0 | Prerequisite: None
IT597: Master's-Level Information Technology Internship I
The internship provides you with an opportunity to learn about IT careers
through practical, real-world experiences and mentoring from an IT
professional. This experience will improve your technology skills and your
understanding of the expertise needed for career success.
Quarter Credit Hours: 2 | Prerequisite: Second to last term and good
academic standing, or the permission of the Dean of the School of
Business and Information Technology
IT598: Master's-Level Information Technology Internship II
The internship provides you with an opportunity to learn about IT careers
through practical, real-world experiences and mentoring from an IT
professional. This experience will improve your technology skills and your
understanding of the expertise needed for career success.
Quarter Credit Hours: 2 | Prerequisite: IT597
IT599: Master's Capstone in Information Technology
This course synthesizes knowledge gained throughout all courses in your
degree plan, and its comprehensive applied project demonstrates your
mastery of this knowledge, as well as your relevant skills and abilities.
The project will address an information technology problem in either the
research community or industry and will indicate what you now offer to
the industry upon completion of this program.
Quarter Credit Hours: 4 | Prerequisite: Last term or permission from the
Dean