Master of Science in Information Technology IT Analytics courses
IT Analytics coursework overview
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- total quarter credits: 48
- Quarter length: 10 weeks
- Course length: 10 weeks
- Break: 3 weeks between quarters
Course requirements
- Core 5 courses
- Specialization 5 courses
- Capstone 2 courses
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ITEC5002
Core Information Technology and System Trends
4 quarter credits
Students in this course examine current information technologies and trends, emphasizing the areas of technical focus. Students gain the strategic underpinnings of contemporary technology and emerging trends, as well as the communication skills and requirements of an IT professional. This course also presents self-assessments and career development activities designed to support lifelong learning and workforce success. Must be taken during the first quarter by students who have been admitted to the MS in Information Technology degree program. Cannot be fulfilled by transfer or credit for prior learning.
4 quarter credits
ITEC5010
Core Security and Enterprise Networks
4 quarter credits
In this course, students develop an understanding of the core security principles that apply throughout networked systems. Students examine the concepts of enterprise network design, core network infrastructure hardware, configuration, and the architecture of contemporary computing networks and cloud platforms. Students also gain an understanding of network security and threat vectors in the context of enterprise systems, firewalls, VPNs, and network protocols. Finally, students explore enterprise network governance, security risk assessment and development of internal controls, and implementation and management for cloud computing environments. Prerequisite(s): Completion of or concurrent registration in ITEC5002.
4 quarter credits
ITEC5025
Core 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
ITEC5020
Core Database Development and AI
4 quarter credits
Students use their knowledge of designing and developing both relational and non-relational databases, and fundamental concepts of Artificial Intelligence (AI) to create databases. Students apply the necessary skills and knowledge to create robust databases that leverage AI models to achieve goals efficiently and effectively.
4 quarter credits
PM5018
Core Project Management Foundations
4 quarter credits
In this cross-disciplinary course, students analyze the fundamentals of project management and gain an overview of project management standards and their applicability to managing projects, with an emphasis on management methodologies and frameworks, including those defined by the Project Management Institute (PMI®). Students have the opportunity to participate in experiential learning by bringing in a workplace project, or they may use the project provided in the course. Students cultivate effective project management leadership skills, including project politics and ethics and collaboration.
4 quarter credits
ANLT5010
Specialization Course 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
Specialization Course 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
Specialization Course 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
ITEC5040
Specialization Course Predictive Models and Classification Methods
4 quarter credits
Students gain the skills to utilize historical data to predict future outcomes, as well as identify patterns in current data that can be used to classify or group future observations. Students complete their own analytics project through hands-on statistical techniques coupled with a broad understanding of contemporary predictive modeling and analytics classification methods. Throughout the course, students utilize AI as a support tool for coding, troubleshooting, and understanding outputs. Students remain responsible for verifying results and ensuring their analysis is accurate.
4 quarter credits
ANLT5100
Specialization Course Visual Analytics
4 quarter credits
Students demonstrate the value of analytic storytelling to stakeholders using visualization. Students investigate the appropriate presentation of types of data and apply best practices for the design of effective visualizations. Students also develop skills for presenting data to stakeholders in a succinct and relevant manner. Throughout the course, students utilize AI as a support tool for coding, troubleshooting, and understanding outputs. Students remain responsible for verifying results and ensuring their analysis is accurate. Prerequisite(s): ANLT5030.
4 quarter credits
ITEC5900
Capstone Applied Information Technology Project 1
4 quarter credits
In this first of a two-course sequence, students further enhance their professional collaboration and communication skills to identify and select a project that addresses an IT problem or opportunity in an organizational or societal context. Students apply IT evaluation frameworks and the RFP process to elicit and evaluate requirements and possible technology solutions. Students also explore IT consulting skills to address technical, product, and related economic factors valuable for in-house and external consulting engagements. For MS in Information Technology students only. Cannot be fulfilled by transfer or credit for prior learning. Prerequisite(s): Completion of or concurrent registration in ITEC5020 and IAS5030 or ITEC5040 or ITEC5060 or PM5335.
4 quarter credits
ITEC5905
Capstone Applied Information Technology Project 2
4 quarter credits
In this second of a two-course sequence, student teams implement their project plan to address an IT problem or opportunity in an organizational or societal context. Teams finalize project requirements and complete tasks associated with the project, including regular status reporting, production of intermediate deliverables, on-going communication with key stakeholders, and developing an optimal IT solution that meets the requirements and solution context. Students also complete a written report and conduct a final presentation that describes the solution and its implementation. Upon project conclusion, students review and update their personal, technical, and soft skills development plan created at the beginning of the program. For MS in Information Technology students only. Cannot be fulfilled by transfer or credit for prior learning. Prerequisite(s): ITEC5900 and completion of or concurrent registration in ANLT5100 or IAS5110 or or IAS5220 or ISTM5112 or PM5336.
4 quarter credits
Show all descriptions
ITEC5002
Core Information Technology and System Trends
4 quarter credits
Students in this course examine current information technologies and trends, emphasizing the areas of technical focus. Students gain the strategic underpinnings of contemporary technology and emerging trends, as well as the communication skills and requirements of an IT professional. This course also presents self-assessments and career development activities designed to support lifelong learning and workforce success. Must be taken during the first quarter by students who have been admitted to the MS in Information Technology degree program. Cannot be fulfilled by transfer or credit for prior learning.
4 quarter credits
PM5018
Core Project Management Foundations
4 quarter credits
In this cross-disciplinary course, students analyze the fundamentals of project management and gain an overview of project management standards and their applicability to managing projects, with an emphasis on management methodologies and frameworks, including those defined by the Project Management Institute (PMI®). Students have the opportunity to participate in experiential learning by bringing in a workplace project, or they may use the project provided in the course. Students cultivate effective project management leadership skills, including project politics and ethics and collaboration.
4 quarter credits
ITEC5025
Core 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
ITEC5010
Core Security and Enterprise Networks
4 quarter credits
In this course, students develop an understanding of the core security principles that apply throughout networked systems. Students examine the concepts of enterprise network design, core network infrastructure hardware, configuration, and the architecture of contemporary computing networks and cloud platforms. Students also gain an understanding of network security and threat vectors in the context of enterprise systems, firewalls, VPNs, and network protocols. Finally, students explore enterprise network governance, security risk assessment and development of internal controls, and implementation and management for cloud computing environments. Prerequisite(s): Completion of or concurrent registration in ITEC5002.
4 quarter credits
ITEC5020
Core Database Development and AI
4 quarter credits
Students use their knowledge of designing and developing both relational and non-relational databases, and fundamental concepts of Artificial Intelligence (AI) to create databases. Students apply the necessary skills and knowledge to create robust databases that leverage AI models to achieve goals efficiently and effectively.
4 quarter credits
Show all descriptions
ANLT5020
Specialization Course 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
ANLT5100
Specialization Course Visual Analytics
4 quarter credits
Students demonstrate the value of analytic storytelling to stakeholders using visualization. Students investigate the appropriate presentation of types of data and apply best practices for the design of effective visualizations. Students also develop skills for presenting data to stakeholders in a succinct and relevant manner. Throughout the course, students utilize AI as a support tool for coding, troubleshooting, and understanding outputs. Students remain responsible for verifying results and ensuring their analysis is accurate. Prerequisite(s): ANLT5030.
4 quarter credits
ITEC5040
Specialization Course Predictive Models and Classification Methods
4 quarter credits
Students gain the skills to utilize historical data to predict future outcomes, as well as identify patterns in current data that can be used to classify or group future observations. Students complete their own analytics project through hands-on statistical techniques coupled with a broad understanding of contemporary predictive modeling and analytics classification methods. Throughout the course, students utilize AI as a support tool for coding, troubleshooting, and understanding outputs. Students remain responsible for verifying results and ensuring their analysis is accurate.
4 quarter credits
ANLT5010
Specialization Course 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
ANLT5030
Specialization Course 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
Show all descriptions
ITEC5900
Capstone Applied Information Technology Project 1
4 quarter credits
In this first of a two-course sequence, students further enhance their professional collaboration and communication skills to identify and select a project that addresses an IT problem or opportunity in an organizational or societal context. Students apply IT evaluation frameworks and the RFP process to elicit and evaluate requirements and possible technology solutions. Students also explore IT consulting skills to address technical, product, and related economic factors valuable for in-house and external consulting engagements. For MS in Information Technology students only. Cannot be fulfilled by transfer or credit for prior learning. Prerequisite(s): Completion of or concurrent registration in ITEC5020 and IAS5030 or ITEC5040 or ITEC5060 or PM5335.
4 quarter credits
ITEC5905
Capstone Applied Information Technology Project 2
4 quarter credits
In this second of a two-course sequence, student teams implement their project plan to address an IT problem or opportunity in an organizational or societal context. Teams finalize project requirements and complete tasks associated with the project, including regular status reporting, production of intermediate deliverables, on-going communication with key stakeholders, and developing an optimal IT solution that meets the requirements and solution context. Students also complete a written report and conduct a final presentation that describes the solution and its implementation. Upon project conclusion, students review and update their personal, technical, and soft skills development plan created at the beginning of the program. For MS in Information Technology students only. Cannot be fulfilled by transfer or credit for prior learning. Prerequisite(s): ITEC5900 and completion of or concurrent registration in ANLT5100 or IAS5110 or or IAS5220 or ISTM5112 or PM5336.
4 quarter credits