MS in Data Analytics

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Think big. Learn how to harness big data to drive strategic decisions.

How many terabytes of Tweets, petabytes of purchase transactions and quadrillions of call detail records do you think the world generated today? More importantly, how will the enterprises that use all that big data collect it, clean it, manipulate it, store it, keep it secure and trust it enough to act on it – especially given the breakneck speed at which it's created? That’s the domain of data scientists, and it’s never been more critical.

The future of business depends on harnessing big data – in all its myriad unstructured formats and disparate sources – faster than the competition, and then using it to make better, more consistent and more fact-based decisions. But there’s a talent gap for data analysts with the specialized skills and broad-based knowledge to meet this growing demand. According to McKinsey Global Institute, the demand for deep analytical talent in the U.S. could be 50-60% greater than its projected supply by 2018. (Source: McKinsey Global Institute, Big Data: The Next Frontier for Innovation, Competition and Productivity)

SNHU's master's program in Data Analytics is recognized by the Professional Science Master's (PSM) national office as a Professional Science Master's program. The PSM is an innovative graduate degree designed to allow students to pursue advanced training in science or mathematics while developing workplace skills highly valued by employers. PSM graduates are prepared to assume high-level careers with science/technology-based employers that have a strong emphasis on areas such as management, policy and entrepreneurship.

Enter Southern New Hampshire University's master's in Data Analytics.

By focusing on the advanced uses of data analytics across a broad range of industries, this 36-credit online data analytics master's program prepares students to be a strategic asset to any enterprise, from government, retail, IT and security firms to communications and media, finance, healthcare, manufacturing organizations and any other organization with big potential for big data. Students will learn to:

  • leverage “big data” for competitiveness, risk-assessment, mission-critical decision-making and organizational effectiveness
  • gain command of advanced technologies for data mining, visualization, modeling and optimization while understanding the requirements and needs of the organizational environment through business research and in-depth analysis
  • understand ethical uses of data and ensure appropriate security measures for data collection and storage by adopting advanced techniques for protecting the integrity and privacy of data, organizations and consumers

The 12-course master's in data analytics core includes foundations of data; mathematics and statistics for business; principles of database design; presentation and visualization of data; optimization and risk assessment; predictive analytics; and project management courses. Upon completion of the capstone in data analytics, you’ll come away knowing how to leverage big data quickly and effectively, plus something even more valuable: how to help a wide variety of industries make mission-critical decisions, assess risk, operate more efficiently and compete more successfully.

Advantages of the Online Master’s in Data Analytics Degree:

  • One of the most convenient, flexible and affordable data analytics master's degrees available
  • No residency requirement; 100% online
  • No GMAT or GRE required for admission  
  • Quick application review/notification process
  • Classes taught and developed by real-world experts
  • Designed to be completed in as few as 15 months, with two courses per 10-week term
  • Offered by a private, nonprofit, fully accredited university, the only university on Fast Company’s 2012 World’s Most Innovative Companies list

Admission Requirements for the Online Data Analytics Master’s Degree:

Students will be exempted out of all foundation courses if they have an undergraduate GPA of 2.75 in one of the following undergraduate degrees in:

  • Statistics
  • Mathematics
  • IT (or Computer Science) with a focus on Databases
  • Business Administration with a focus on Quantitative Analysis

Students who can provide evidence for two years of work experience in analytics can be exempted out of all foundation courses.

All other students will be assessed individually against each foundation course.

Admission Requirements

Acceptance decisions are made on a rolling basis throughout the year for our five 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 are also required to submit a resume.

University Accreditation

SNHU is a fully accredited university. Access our list of accreditations. More...

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Email: enroll@snhu.edu