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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: January 01 Classes Start: January 03

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.

Data analytic skills are becoming more important in this constantly changing ecosystem. The National Football League is analyzing data in live time to help predict the next play on the field, the FBI is scanning large amounts of data every minute to predict possible events and Wall Street has implemented new technology to help consumers predict a stock’s next best action. Data is becoming more available and more complex.

SNHU’s Master of Science (MS) in Data Analytics takes a deep dive into the study of analyzing data, allowing you to hone 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.

"I was able to use what I have learned within my role," said Luanne Dexter '20G. "I am currently working on a project that will apply what I learned in my capstone course."

You’ll come away from the program with a highly marketable skill – knowing how to interpret the stories that data has to tell. "It really has helped me to understand data analytics and has opened doors for me in my career," said Dexter. "I have [been] promoted since earning my degree as well as transitioned to a role as a data, analytics and insight manager."

The program’s core covers:

  • Descriptive Statistics and Analytics
  • Predictive Analytics
  • Data Visualization and Presentation
  • The Data Analytics Life Cycle
  • Agile Scrum Management Techniques

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 position you to succeed at your next career move.

"I was able to transition to a role where I can use the skills I learned and move into a career path that was more in line with my passion," said Dexter. "[The program] gave me the credibility and knowledge I needed to do that."

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 #2 spot on Glassdoor’s “50 Best Jobs in America for 2021” 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 4 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 33% job growth for this occupation through 2029 and a median salary of $93,290.3
  • 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 33% job growth for this occupation through 2029 and a median salary of $93,290.3
  • 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 25% job growth for this occupation through 2029 and a median salary of $86,200.3
  • 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 35% job growth for this occupation through 2029 and a median salary of $92,270.3

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 analyze data using your statistical skills, lead strong dynamic teams and monitor progress, 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.

Adam Jahn with the text Adam Jahn"I wanted to study data analytics because I've always been interested in statistics and how to explain the world based on evidence and data," said student Adam Jahn. "The program provided a foundation to advance in the field, and I supplemented my learning with the resources provided by instructors during each class."

The MS in Data Analytics program includes two foundation courses, which are designed for individuals that are new to statistics and data management. (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.

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. Examples of experiential learning courses may include Amazon Web Services (AWS) Cloud Foundations, Structured Query Language (SQL) and Introduction to Scripting Languages Using Python.

SNHU also 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.”

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 
Degree/Certificates
(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.

References