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SNHU graduate, Chris Eldridge working on a computer. With the text Chris Eldridge '15

Master's in Data Analytics Online Master of Science (MS)

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Register By: July 24 Classes Start: July 26

Earn Your Online Data Analytics Master's

  • $627/credit (36 credits total)
  • Transfer up to 12 graduate credits
  • Finish in as few as 15 months
  • Develop skills in Python, SQL, R and Tableau
  • Learn to identify and apply data solutions
  • Build a professional portfolio of work

Master's in Data Analytics Online Program Overview

Organizations of every size in every industry use data analytics – from small businesses to state departments, nonprofits to global corporations.

Airlines use it to improve operational efficiency and the passenger experience. Food manufacturers review production data to reduce waste. Government agencies critically analyze data to solve public health issues. Retail companies incorporate data analysis to forecast inventory needs. Wall Street evaluates historical data to predict the stock market.

SNHU’s Master of Science (MS) in Data Analytics lets you dive deep into this area of study, honing one of the most coveted skill sets in today’s workforce. You’ll learn how to use advanced statistical techniques and tools in data and information management to collect and analyze large data sets. You'll also learn how to apply your computational, analytical and modeling skills to provide decision support to key stakeholders.

As you pursue your online master’s in data analytics, you’ll gain proficiency in identifying and evaluating data solutions. Upon completion of the capstone, you’ll understand how to help businesses leverage information to make smart, data-driven decisions, operate with greater efficiency and compete more successfully.

You’ll come away from the program with a highly marketable skill – knowing how to interpret the stories that data has to tell.

The program’s core covers:

  • Decision Methods and Modeling
  • Presentation and Visualization of Data
  • Optimization and Risk Assessment
  • Predictive Analytics

Whether you're already working in data analytics or you’re in a field that could benefit from it, SNHU’s comprehensive online data analytics master’s program can help put you in position to succeed at your next career move.

Learn how to:

  • Evaluate data sources to verify data using the data analytics lifecycle
  • Compile and interpret big data to design more effective business systems
  • Use data to make predictions, assess risk and solve problems
  • Report data findings and present solutions to key stakeholders
  • Be a strategic asset to organizations in a wide range of industries

Career Outlook

As the world’s reliance on data escalates, demand for professionals in the data analytics and data science fields shows no signs of slowing down. “Data scientist” took the #3 spot on Glassdoor’s “50 Best Jobs in America for 2020” list. “Data analyst” and “data engineer” also made the list.1 Meanwhile, LinkedIn ranked "data scientist" #1 on its “Most Promising Jobs of 2019” list.2

SNHU’s master's in data analytics online prepares you for these roles and many others. The program also furnishes you with the top skills cited by the LinkedIn study for data analytics jobs,2 including:

  • Data science
  • Data mining
  • Data analysis
  • Python
  • Machine learning

Susan McKenzie with the text Susan McKenzieDr. Susan McKenzie, associate dean of STEM programs at SNHU, believes that in addition to strong mathematical and statistical abilities, successful data analysts have this key skill set:

  • Analytical skills to evaluate, model and interpret data
  • Problem-solving skills to make predictions, assess risk and solve problems
  • Decision-making skills to think critically and identify solutions
  • Technical skills including software and scripting languages to interpret and present data

McKenzie also stresses the need for business soft skills. She points to active listening, communication, collaboration and attention to detail as the most important business skills. Data analysts call on these skills regularly when determining which factors affect organizational growth, such as customers, competitors and workers.

“Ultimately, the work of a data analyst provides insights to corporate organizations that can transform how the business moves forward and grows successfully,” said McKenzie.

Graduates of the MS in Data Analytics program can pursue a variety of data-focused roles, including these 6 high-growth occupations:

  • Data analysts analyze data and apply mathematical and statistical techniques to help solve real-world problems across every industry. The role requires advanced mathematics skills and, in fact, the BLS classifies data analysts under mathematicians and statisticians. The BLS projects 30% job growth for this occupation through 2028 and a median salary of $92,030.3
  • Data scientists, like data analysts, fall into the mathematicians and statisticians category and share a similar job description. However, data scientists tend to focus on looking into the future to project an organization’s needs. Harvard Business Review called this the “Sexiest Job of the 21st Century.” 4 The BLS projects 30% job growth for this occupation through 2028 and a median salary of $92,030.3
  • Operations research analysts use advanced mathematical and analytical methods to help businesses solve problems and make better decisions. According to the BLS, they are involved in all aspects of an organization, from resource allocation and production schedules to managing the supply chain and setting prices. The BLS projects 26% job growth for this occupation through 2028 and a median salary of $84,810.3
  • Statisticians analyze data and apply mathematical and statistical techniques to help solve real-world problems across every industry. However, the BLS notes that the greatest demand for statisticians tends to be in government, healthcare and R&D. The BLS projects 30% job growth for this occupation through 2028 and a median salary of $92,030.3

Common industries that employ data analysts and related roles include:

  • Education
  • Government
  • Healthcare
  • Manufacturing
  • Professional, scientific and technical services

McKenzie notes that organizations in many industries have even created cross-functional analytics teams. In addition to data analysts, these roles include database administrators, data scientists, data architects, database managers and data engineers, as well as their business counterparts.

“In the current marketplace, people can begin a data analytics career with a degree in any academic field by completing a master’s in data analytics,” McKenzie says.

“With the increase in the amount of data available and advanced technical skills, obtaining a university degree specifically in data analytics provides the ability to mold any discipline in the current marketplace,” she said.

Start Your Journey Toward an Online Data Analytics Degree

Courses & Curriculum

Demand for data analytics-related roles is at an all-time high. If you can measure data using your mathematics skills, lead strong dynamic teams and stay on budget, you'll have an edge in the job market.

SNHU’s master's in data analytics online develops this skill set, reinforcing the strategic and advanced uses of data analytics across a wide range of industries. Coursework covers all key topics, from data mining, visualization and modeling to the ethical uses of data. And because it’s an online program, you’ll build relationships with a diverse group of students in your class discussions and projects – and enhance your “soft skills” while you’re at it.

Two courses make up the MS in Data Analytics foundation. (Note: Students who can demonstrate requisite skills in these areas may waive out of these courses.)

Data and Information Management

Master key concepts and tools in data and information management. Learn skills required for data assessment and validation for creating data structures and data analysis reports. Gain exposure to common data and information management technologies that organizations use for decision support.

Foundations in Statistics

Develop a foundation of basic statistical literacy. Assess the role of statistics in quantitative research and mixed methodologies and learn the relationship between computation and interpretation. Conduct real-world analytical research that illustrates the process of interpreting the underlying meaning of data and how to use statistics to address important questions.

Caitlin Glennen with the text Caitlin GlennenSNHU Innovation Analyst Cait Glennen notes that “business as a whole is moving towards quantitative data and qualitative analysis and employers are seeking people who have a strong grasp on data and its interpretation.

“Graduates with these skill sets tend to work in roles where they are interpreting and manipulating existing data in order to provide concrete business insights versus just working with the databases themselves,” said Glennen.

As you complete your online master’s in analytics, you’ll dive deeper into data-driven decision making, explore project management and predictive analytics, and develop communication and leadership skills.

You’ll also get to participate in Graduate Experiential Learning, an invaluable opportunity to gain hands-on experience with cloud computing and real-world data analysis. SNHU provides cloud-based virtual environments in select courses to give you access to the technology you need. Learn more about our virtual environments.

Paulitia Sheldon with the text Paulitia SheldonPaulitia Sheldon, an instructor of data analytics at SNHU and recipient of the 2019 Distinguished Online Teaching Award, sums up the program’s value with her own perspective.

“One thing I tell students is that these programs give you a terrific foundation of knowledge you need to succeed," she said. "However, as with most things, to differentiate, you have to commit to yourself that you will keep learning. … I think that is how you continue to separate from others. Find what you love and do it well.”

Earn Credits for What You Already Know 

  • Earn transfer credits for IT certifications and credentials: If you've earned IT certifications through organizations like Cisco, CompTIA, (ISC)2, Oracle or Thinkful, you may be eligible to receive credit toward your degree program. Or If you’re seeking certification, some IT and computer science courses can help you prepare for specific exams.
  • Earn credits for work and life experience: Did you know certain work and life experience - like industry-recognized certifications, law enforcement training and math knowledge - could save you time and money at SNHU? Learn how you could get credit for work or life experience.

Tuition & Fees

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.

Online Graduate Programs Per Course Per Credit Hour Annual Cost for 15 credits 
Degree/Certificates $1,881 $627 $9,405 
(U.S. service members, both full and part time, and the spouses of those on active duty)
$1,410 $470 $7,050 

Tuition rates are subject to change and are reviewed annually.

Additional Costs:
$150 Graduation Fee, Course Materials ($ varies by course)

Frequently Asked Questions

University Accreditation

Southern New Hampshire University is a private, nonprofit institution accredited by the New England Commission of Higher Education (NECHE) as well as several other accrediting bodies.