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Master of Science in Information Technology IT Analytics courses
IT Analytics coursework overview
Coursework tailored to your learning preferences
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Planning for your degree
- 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
Example program course sequence
This example course sequence takes course prerequisites into account, so it can be helpful as a general guide when you register for courses. In GuidedPath, the number of courses you take in a quarter and time it takes to complete your program can vary. Your academic coach can help answer any course registration questions.
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ITEC5002
Core Information Technology and System Trends
4 quarter credits
Learners in this course examine current information technologies and trends, emphasizing the areas of technical focus. Learners 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 learners 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, learners develop an understanding of the core security principles that apply throughout networked systems. Learners examine the concepts of enterprise network design, core network infrastructure hardware, configuration, and the architecture of contemporary computing networks and cloud platforms. Learners also gain an understanding of network security and threat vectors in the context of enterprise systems, firewalls, VPNs, and network protocols. Finally, learners 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
Learners use their knowledge of fundamental and advanced programming concepts, skills, programming languages, and Artificial Intelligence (AI) to develop applications. Learners apply the essential skills to develop a user interface, integrate a database, and incorporate an AI model, to build a sophisticated and intelligent application. Prerequisite: ITEC5020
4 quarter credits
ITEC5020
Core Database Development and AI
4 quarter credits
Learners use their knowledge of designing and developing both relational and non-relational databases, and fundamental concepts of Artificial Intelligence (AI) to create databases. Learners 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 , learners 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®). Learners have the opportunity to participate in experiential learning by bringing in a workplace project, or they may use the project provided in the course. Learners 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
Learners in this course apply data management fundamentals to data models. Learners 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, learners explain database methodologies including relational databases, flat files, dimensional modeling, RSS feeds and multi-dimensional modeling. Learners examine the impact of data quality on analytics and apply ETL techniques and processes. Finally, learners 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
In this course, learners study the collection, organization, presentation, analysis, and interpretation of data using statistical methods. Learners 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
Learners 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. Learners complete their own analytics project through hands-on statistical techniques coupled with a broad understanding of contemporary predictive modeling and analytics classification methods.
4 quarter credits
ANLT5100
Specialization Course Visual Analytics
4 quarter credits
In this course, learners articulate the value of visualization to telling the analytic story to stakeholders. Learners explore the appropriate presentation of types of data and apply best practices for the design of effective visualizations. Learners also develop skills for presenting data to stakeholders in a succinct and relevant manner. Prerequisite(s): ANLT5030.
4 quarter credits
ITEC5900
Capstone Applied Information Technology Project 1
4 quarter credits
In this first of a two-course sequence, learners 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. Learners apply IT evaluation frameworks and the RFP process to elicit and evaluate requirements and possible technology solutions. Learners 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 learners only. Prerequisite(s): Completion of or concurrent registration in ITEC5020 and IAS5030 or ITEC5040 or ITEC5060 or PM5335. Cannot be fulfilled by transfer or credit for prior learning.
4 quarter credits
ITEC5905
Capstone Applied Information Technology Project 2
4 quarter credits
In this second of a two-course sequence, learner 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. Learners also complete a written report and conduct a final presentation that describes the solution and its implementation. Upon project conclusion, learners review and update their personal, technical, and soft skills development plan created at the beginning of the program. For MS in Information Technology learners only. Prerequisite(s): ITEC5900 and completion of or concurrent registration in ANLT5100 or IAS5110 or or IAS5220 or ISTM5112 or PM5336. Cannot be fulfilled by transfer or credit for prior learning.
4 quarter credits
Total
At least 48 quarter credits
One or more courses in this program may require a prerequisite(s). Refer to the course descriptions for details.
Learners who do not complete all program requirements within quarter credit/program point minimums will be required to accrue such additional quarter credits/program points as are associated with any additional or repeat coursework necessary for successful completion of program requirements.
Multiple specializations available (must be within the same degree program)
Core course requirements
Complete at least 20 quarter credits in the core courses category. Choose from the courses shown below.
Show all descriptions
ITEC5002
Core Information Technology and System Trends
4 quarter credits
Learners in this course examine current information technologies and trends, emphasizing the areas of technical focus. Learners 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 learners 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 , learners 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®). Learners have the opportunity to participate in experiential learning by bringing in a workplace project, or they may use the project provided in the course. Learners 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
Learners use their knowledge of fundamental and advanced programming concepts, skills, programming languages, and Artificial Intelligence (AI) to develop applications. Learners apply the essential skills to develop a user interface, integrate a database, and incorporate an AI model, to build a sophisticated and intelligent application. Prerequisite: ITEC5020
4 quarter credits
ITEC5010
Core Security and Enterprise Networks
4 quarter credits
In this course, learners develop an understanding of the core security principles that apply throughout networked systems. Learners examine the concepts of enterprise network design, core network infrastructure hardware, configuration, and the architecture of contemporary computing networks and cloud platforms. Learners also gain an understanding of network security and threat vectors in the context of enterprise systems, firewalls, VPNs, and network protocols. Finally, learners 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
Learners use their knowledge of designing and developing both relational and non-relational databases, and fundamental concepts of Artificial Intelligence (AI) to create databases. Learners apply the necessary skills and knowledge to create robust databases that leverage AI models to achieve goals efficiently and effectively.
4 quarter credits
Total
At least 48 quarter credits
One or more courses in this program may require a prerequisite(s). Refer to the course descriptions for details.
Learners who do not complete all program requirements within quarter credit/program point minimums will be required to accrue such additional quarter credits/program points as are associated with any additional or repeat coursework necessary for successful completion of program requirements.
Multiple specializations available (must be within the same degree program)
Specialization course requirements
Complete at least 20 quarter credits from the specialization courses shown below.
Show all descriptions
ANLT5020
Specialization Course Data Sources for Analytics
4 quarter credits
In this course, learners explain database methodologies including relational databases, flat files, dimensional modeling, RSS feeds and multi-dimensional modeling. Learners examine the impact of data quality on analytics and apply ETL techniques and processes. Finally, learners 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
In this course, learners articulate the value of visualization to telling the analytic story to stakeholders. Learners explore the appropriate presentation of types of data and apply best practices for the design of effective visualizations. Learners also develop skills for presenting data to stakeholders in a succinct and relevant manner. Prerequisite(s): ANLT5030.
4 quarter credits
ITEC5040
Specialization Course Predictive Models and Classification Methods
4 quarter credits
Learners 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. Learners complete their own analytics project through hands-on statistical techniques coupled with a broad understanding of contemporary predictive modeling and analytics classification methods.
4 quarter credits
ANLT5010
Specialization Course Foundations in Analytics
4 quarter credits
Learners in this course apply data management fundamentals to data models. Learners 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
In this course, learners study the collection, organization, presentation, analysis, and interpretation of data using statistical methods. Learners 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
Total
At least 48 quarter credits
One or more courses in this program may require a prerequisite(s). Refer to the course descriptions for details.
Learners who do not complete all program requirements within quarter credit/program point minimums will be required to accrue such additional quarter credits/program points as are associated with any additional or repeat coursework necessary for successful completion of program requirements.
Multiple specializations available (must be within the same degree program)
Capstone courses
In your final quarter, complete a capstone course for a total of 8 quarter credits.
Show all descriptions
ITEC5900
Capstone Applied Information Technology Project 1
4 quarter credits
In this first of a two-course sequence, learners 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. Learners apply IT evaluation frameworks and the RFP process to elicit and evaluate requirements and possible technology solutions. Learners 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 learners only. Prerequisite(s): Completion of or concurrent registration in ITEC5020 and IAS5030 or ITEC5040 or ITEC5060 or PM5335. Cannot be fulfilled by transfer or credit for prior learning.
4 quarter credits
ITEC5905
Capstone Applied Information Technology Project 2
4 quarter credits
In this second of a two-course sequence, learner 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. Learners also complete a written report and conduct a final presentation that describes the solution and its implementation. Upon project conclusion, learners review and update their personal, technical, and soft skills development plan created at the beginning of the program. For MS in Information Technology learners only. Prerequisite(s): ITEC5900 and completion of or concurrent registration in ANLT5100 or IAS5110 or or IAS5220 or ISTM5112 or PM5336. Cannot be fulfilled by transfer or credit for prior learning.
4 quarter credits
Total
At least 48 quarter credits
One or more courses in this program may require a prerequisite(s). Refer to the course descriptions for details.
Learners who do not complete all program requirements within quarter credit/program point minimums will be required to accrue such additional quarter credits/program points as are associated with any additional or repeat coursework necessary for successful completion of program requirements.
Multiple specializations available (must be within the same degree program)
What can I expect in the courseroom?
Each unit consists of readings, discussions and other activities you will be expected to complete throughout the week. Most deadlines for coursework occur on Thursdays and/or Sundays but may vary by program and course. In each course, you will receive a detailed scoring guide that describes expectations for every graded assignment.
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How will I be graded?
Grades are based on your participation in weekly reading discussions and completion of assignments, based on criteria outlined in the rubric. You will also be assessed on your ability to demonstrate an understanding of expected outcomes for your program or specialization. These outcomes are based on the needs and performance standards of your field or discipline.