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MS in Information Technology, Analytics

School of Business, Technology, and Health Care Administration

The Analytics master’s specialization provides learners the knowledge needed to work with, understand, and transform data to support decision making. Learners develop solutions that address applied organizational and technical problems in a global environment. Learners also evaluate and select tools and methods to design systems and applications, while obtaining a working knowledge of analytics tools to analyze business problems, complete data projects, and adhere to ethical standards.

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Twelve Required Courses

 

 

At least 48 quarter credits

Core courses:

ITEC5002
Information Technology and System Trends

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 *
Security and Enterprise Networks

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 *
Application and Database Development

In this course, learners use their knowledge of user requirements, user interface design, program design, programming logic, and testing processes to develop a professional-quality application suitable for front-end and web platforms. Learners apply methods for relational database design, administration, and the use of structured query language (SQL) to store, retrieve, and update information for use in applications.  Prerequisite(s): Completion of or concurrent registration in ITEC5030.

4 quarter credits
ITEC5030 *
Emerging Technologies

In this course, learners gain an understanding of new and disruptive technologies that are poised to have a significant impact on individuals, industry, technology, and society. Learners explore strategies for identifying and researching emerging technologies to determine their value-added application to the organization and examine models that help predict technology growth and proliferation.  Prerequisite(s): ITEC5010.

4 quarter credits
PM5018
Project Management Foundations

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

Specialization courses:

ANLT5010 *
Foundations in Analytics

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 HMSV5002 or PM5018​.

4 quarter credits
ANLT5020 *
Data Sources for Analytics

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.

4 quarter credits
ANLT5030 *
Statistical Methods in Analytics

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.

4 quarter credits
ANLT5100 *
Visual Analytics

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 *
Predictive Models and Classification Methods

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. Prerequisite(s): ANLT5030.

4 quarter credits

Taken during the learner’s final quarters:

ITEC5900 *
Applied Information Technology Project 1

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 IAS5030 or ITEC5040 or ITEC5060 or PM5335. Cannot be fulfilled by transfer or credit for prior learning.

4 quarter credits
ITEC5905 *
Applied Information Technology Project 2

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 IAS5220 or ISTM5112 or PM5336. Cannot be fulfilled by transfer or credit for prior learning.

4 quarter credits

 

 

Total

 

 

At least 48 quarter credits

* Denotes courses that have prerequisite(s). Refer to the descriptions for further 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)