Collecting, organizing and interpreting statistical information is the job of a data analyst. The online Master of Science in Information Technology with a concentration in Data Analytics at Southern New Hampshire University will prepare you to do just that. SNHU's data analytics concentration within the IT master's focuses on big data, how it's relevant, and how to present it in a meaningful, captivating way. With this niche expertise within an IT master's, you'll gain the specialized intelligence to synthesize sets of raw information, interpret your findings to reveal trends and then deploy effective tools and techniques to communicate insights and influence major IT decisions by leveraging the power of big data.
SNHU's MS in IT Data Analytics program is recognized by the Professional Science Master's (PSM) national office as a Professional Science Master's program.* The PSM is an innovative degree designed to allow students to pursue advanced training in science or mathematics while developing workplace skills valued by employers.
In the online MS in Information Technology with a concentration in Data Analytics, you'll examine the concepts of data analysis and how it influences business decisions. You'll learn how to develop solid research questions, identify and verify data sources, then retrieve, scrub and manipulate data and identify data elements that are relevant for a given audience. You'll also hone your technical writing, presentation and programming skills, which will help you become more marketable in the job market.
As a private, nonprofit university, SNHU has one mission – to help you see yourself succeed. The benefits of earning your master's in information technology degree at SNHU include:
Acceptance decisions are made on a rolling basis throughout the year for our 5 graduate terms. You can apply at any time and get a decision within days of submitting all required materials. To apply, simply contact an admission counselor, who can help you explore financial options. Your counselor can also walk you through the application process, which involves completing a graduate application ($40 fee) and providing undergraduate transcripts.
Candidates must also submit a professional resume.
The demand for data experts is increasing as more companies turn to data analysis to make informed business decisions. The U.S. Bureau of Labor Statistics projects that many IT careers will grow through 2026, including operations research analyst (27%), market research analyst (32%) and computer systems analyst (9%).*
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Our IT data analytics concentration begins with a solid foundation of IT principles, and then dives deep into the specifics of analytics, measurement and reporting. Courses are taught by knowledgeable faculty with years of real-world experience.
We live in a world where substantial amounts of data are available at the touch of a button. While this may be a very empowering prospect, it can also be overwhelming. In this course, students will examine the status of Big Data and its impact on the business world, framing analytics challenges using a structured life cycle approach to data analytics problems. Emphasis will be placed upon the verification of data, analytic techniques and open source tools for analyzing data, the role of regulatory organizations, and the privacy and ethics issues that surround its use.
The role of many analysts is as much about interpreting the results of data analysis as it is about gathering the data and "crunching the numbers." In this course, students will learn how to evaluate data in context, interpret data trends, and receive an overview of decision support management techniques such as predictive modeling, risk assessment and optimization, and analytics algorithms, which will set the stage for more advanced study in subsequent courses. Concepts from enterprise data management, including data warehousing and business intelligence, will provide a foundation for examining the topics of data mining, advanced and dimensional data modeling, and decision support system development as techniques for an organization's competitive advantage.
In addition to the gathering and interpretation of data, today's business environment calls upon the analyst to communicate the results of data analysis to a variety of audiences. In this course students will learn how to synthesize the technical components of data analysis into reports, presentations, and visual dashboards that are meaningful for the intended audience and deliver those components in a coherent, convincing format.
This course focuses on the principles and practices underlying the analysis, design, implementation and management of information technology systems. Topics include information system development methodologies, systems planning, requirements analysis, systems implementation, software engineering, project management, and interface, database and process design.
This course provides a comprehensive introduction to the principles and practices of object- oriented software development and provides a foundation for developing quality software. Students develop skills in applying object- oriented concepts to solve software problems and implement solutions. The course also teaches the concepts and design of algorithms for problem solving and includes the topics of data structures as they are related to the algorithms that use them. The course provides the technical foundation necessary to handle the material covered in the subsequent IT courses.
In this course, students strengthen their understanding of leadership theory and ethical frameworks in the context of a technology enterprise. Students will apply this understanding to business cases that reflect the need for innovative technology solutions in today's workplace in order to transform the thinking of an organization when change is required or to develop ideas that enable new business strategies.
The course focuses on the essential oral and written technical communication skills needed for producing technical documentation and presentations in many different forms for varying business situations. The course enables students to understand the needs of stakeholders in order to develop different technical documents such as white papers, design specifications, project plans, test plans, user manuals, etc. The ability to communicate research findings using appropriate academic formatting will also be addressed.
This course focuses on computer architecture and the operating systems of digital computers. Students learn about the operational methods of hardware; the services provided by operating systems' software; acquisition, processing, storage and output data; and the interaction between computers. Topics include widely used operating systems such as DOS, Windows, and UNIX.
This course introduces the students to the principles and practices necessary to be an effective IT project manager. The course covers project scope, time, cost, quality and human resource management techniques as applied to the kinds of project management problems and issues unique to the IT environment. Students learn how to design an actual IT project structure and will obtain hands-on experience using project management software. Emphasis is on the techniques of project management, leadership, teamwork and project risk management as applied to the IT environment. Case work is an important part of this course.
Telecommunications is a business resource that must be well managed. This includes the technical aspects and the application of telecommunications technology to solve specific business problems and enhance the strategic position of a business enterprise. Topics include the importance of telecommunication in today's business environment, the analysis, design and implementation of telecommunications systems, the scope of the telecommunications industry and current trends; telecommunications hardware, the Open Systems Interconnection (OSI) network model, networking technologies and telecommunications software, protocols and standards.
This course is a study of the design, development and implementation of database management systems (DBMS) that emphasize relational DBMS architecture using SQL. Students will design and implement projects and complete case exercises as they are introduced to new developments in database design.
This capstone course is the culminating experience for the M.S. in Information Technology program. The aim of the capstone is to assess students' ability to synthesize and integrate the knowledge and skills they have developed throughout their coursework, rather than introducing new concepts. This course is structured to support student success in fulfilling program requirements.
Total Credits: 36
CD/DVD drive. External hard drive. Extra power cord. Headphones/earbuds
Tuition rates for SNHU's online degree programs are among the lowest in the nation. We offer a 25% tuition discount for U.S. service members, both full and part time, and the spouses of those on active duty.
*Tuition Rates are subject to change and are reviewed Annually.
$40 Application Fee, $150 Graduation Fee, Course Materials ($ varies by course)
Southern New Hampshire University is a private, nonprofit institution accredited by the New England Commission of Higher Education as well as several other accrediting bodies. More...