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IT Analytics Specialization Master of Science in Information Technology

School of Business and Technology

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Twelve Required Courses

 

 

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 prior learning assessment.

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 *
Database and Application Development

In this course, learners apply methods for relational database design, administration, and the use of structured query language (SQL) to store and retrieve information for use in application programs. Learners use and apply knowledge of user requirements, user experience and program design, programming logic and constructs, and testing processes to the development of an application suitable for both web and mobile platforms using modern tools.  Prerequisite(s): ITEC5010.

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): Completion of or concurrent registration in ITEC5020.

4 quarter credits
PM5331 *
Project Management Fundamentals

This course focuses on the processes and knowledge areas found in the project management profession. Learners develop and demonstrate their understanding of the project management concepts as defined by the Project Management Institute’s (PMI) A Guide to the Project Management Body of Knowledge (PMBOK© Guide), which includes knowledge of the ten project management knowledge areas, including the domains of initiating, planning, executing, monitoring and controlling, and closing projects, along with professionalism and ethics.  Prerequisite(s): MS in Information Technology learners must have completed ITEC5030.

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 PM5331 or ANLT5002.

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 or ITEC5040. 

4 quarter credits
ITEC5040 *
Predictive Models and Classification Methods

This course focuses on predicting future outcomes based on historical data, as well as identifying 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 prior learning assessment.

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 IAS5110 or ISTM5112 or PM5336. Cannot be fulfilled by transfer or prior learning assessment.

4 quarter credits

 

 

Total

 

 

48 quarter credits

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

What Can I Expect?

Each unit consists of readings, discussions, and other activities you will be expected to complete throughout the week. Assignments are due on Sundays, though not every course requires an assignment each week.

In each course, you will receive a detailed scoring guide that describes expectations for every graded assignment.

Grades are based on your participation in weekly reading discussions and completion of assignments. 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.

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Transfer Credits

There are many ways to reduce tuition costs, including transferring credits which may help save time and money. You can transfer up to 12 credits into this specialization.

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Whether you're completing additional credits for your own education, want to see if online learning is right for you, or are simply interested in a specific topic, you can enroll in many of Capella's online courses without committing to a degree program. We recommend speaking with an enrollment counselor to discuss your goals and ensure that the credits you earn now may be applicable to a Capella degree program.

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