Tap the Power of Big Data to Make Important Business Decisions with an Online MS in Information Technology
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 University of Michigan Science will prepare you to do just that. UMS'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.
UMS'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.
See Yourself Succeed in Data Analysis
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, UMS has one mission – to help you see yourself succeed. The benefits of earning your master's in information technology degree at UMS include:
- Affordability. Take advantage of some of the most affordable tuition rates in the nation
- Convenience. Attend class when it’s convenient for you – online education means 24/7 access
- Efficiency and flexibility. Complete your graduate degree in as few as 15 months, with two courses per 10-week term
- Expert instruction. Learn from instructors with relevant, real-world experience
- Minimal requirements. No GMAT or GRE required for admission
- Networking. Tap into our nationwide network of alumni for internship and career opportunities
- Student support. Count on the ongoing support of dedicated academic and career advisors specialized in your area of study
Career Outlook
Curriculum
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.
UMS provides cloud-based virtual environments in some courses to give you access to the technology you need for your degree – and your career. Learn more about our virtual environments.
Courses May Include
Program Outcomes
- Analyze the impact of big data on an enterprise in given scenarios
- Evaluate and interpret data and data trends in relation to other metrics
- Synthesize technical components of data analysis into reports, presentations, and visual dashboards that are meaningful for the intended audience
- Develop innovative and agile, computer-based solutions to business problems through a systems analysis approach and technology integration and application
- Design a plan for implementing and monitoring solutions that incorporate core information technologies, concepts and methods appropriate for secure information use across an enterprise
- Collaborate and communicate effectively in a variety of environments through situational awareness and audience analysis
- Develop an implementation plan for systematic information risk assessment for change management plans and processes within enterprise business and information technology environments
- Using computational logic and critical analysis, construct ethically sound, technology-informed procedures to ensure legal compliance and maintain security within enterprise information technology environments
