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
- 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
Why SNHU for Your Master's in Data Analytics
Flexible
With no set class meeting times, you can learn on your schedule and access online course materials 24/7.
Affordable
Take advantage of some of the lowest online tuition rates in the nation, plus financial aid for those who qualify. We also make it easy to transfer to SNHU by accepting up to 12 graduate credits from your previous institution.
Respected
Founded in 1932, SNHU is a private, nonprofit institution with over 100,000 graduates across the country. Southern New Hampshire University is accredited by the New England Commission of Higher Education (NECHE) — which means our 200+ associate, bachelor's and master's programs meet high academic standards. In addition, many bachelor's degree programs also carry specialized programmatic accreditation. For example, SNHU's business programs are accredited by the Accreditation Council for Business Schools and Programs (ACBSP).
To be regionally accredited, one of 7 regional accreditation organizations recognized by the Council for Higher Education Accreditation (CHEA) has determined that the university meets its high academic standards and expectations. Most nonprofit institutions are regionally accredited.
In addition, Southern New Hampshire University has been nationally recognized for its efforts to lead the way toward more innovative, affordable and achievable education:
- “Most Innovative” regional university honors from U.S. News & World Report each year since 2015
- A $1 million grant from Google.org to explore soft skills assessments for high-need youth
- Recognition as a 2017 Digital Learning Innovator by the Online Learning Consortium
Experience
We're committed to helping students succeed – even when they step outside the classroom. That's why we offer a number of experiential learning opportunities to help you gain the skills you need to succeed in the real world. Like the completion of a portfolio, which can show employers the tools you've mastered and the problems you've solved.
Network
At Southern New Hampshire University, you'll have access to a powerful network of more than 200,000 students, alumni and staff that can help support you long after graduation. Our instructors offer relevant, real-world expertise to help you understand and navigate your industry. Plus, with our growing, nationwide alumni network, you'll have the potential to tap into a number of internship and career opportunities.
Opportunities to prepare you for your career
- Technology Conferences: As a university dedicated to leveling the field for all learners, we recognize the power in making connections – particularly in STEM fields. That's why you'll find our students and alumni at major networking events like the Grace Hopper Celebration and the Teradata University analytics challenge. Because we believe that, no matter where you're from or hope to go, you deserve a seat at the table.
96.5% of students would recommend SNHU.5 Discover why SNHU may be right for you.
Admission Requirements
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.
Online master's degree candidates must also submit a personal resume. Students with an undergraduate GPA below 2.75 are eligible for provisional acceptance.
To apply, use the online application.
How to Apply
Simply contact an admission counselor, who can help you explore financial options, answer all your questions, and walk you through the application process, which includes:
- Completing a graduate application
- Providing undergraduate transcripts
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.
“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.
“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.
| View Full Curriculum in the Catalog |
|---|
| MS in Data Analytics |
| Courses May Include | ||
|---|---|---|
| MS in Data Analytics Online | ||
| DAT 510 | Foundations of Data | 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. |
| DAT 515 | Enterprise Data Management | Understanding the complexity of current data management systems and the ever evolving technology necessary to leverage such data is essential in making sound data-driven decisions. In this course, students will examine the issues in managing data and information from an enterprise perspective, and explore data management as an essential resource to organizational success through a deeper understanding of the concepts and techniques for managing the design, development, and maintenance of all the components of enterprise information management. The course will examine the roles and responsibilities of the various professionals that manage data and information in an organization. |
| DAT 520 | Decision Methods and Modeling | 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. |
| DAT 530 | Presentation and Visualization of Data | 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. |
| DAT 610 | Optimization and Risk Assessment | In the competitive business world, using data to its best advantage becomes all the more crucial. In this course, students will learn how to discern the levels of relevancy of data and the impact it has on operations as well as hone their ability to identify macro and micro level risk and evaluate risk management programs, policies, and strategies. |
| DAT 640 | Predictive Analytics | Building on prior coursework in decision methods and modeling, students will get a deeper understanding of the art and science of predictive analysis. Students will examine the elements that contribute to building reliable predictive models that result in actionable performance predictions such as identifying the variables that have the most predictive power and developing and deploying predictive models currently in use. |
| DAT 650 | Advanced Data Analytics | This course will emphasize the employment of advanced analytic strategies over the entire life cycle of the data analysis process. Using a comprehensive case-studies approach, students will logically extend and add definition to their existing analytic skill set, resulting in the development of a project proposal that will serve as preparation for the capstone experience. |
| DAT 690 | Capstone in Data Analytics | This capstone course is the culminating experience for the M.S. in Data Analytics 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. |
| QSO 640 | Project Management | This course includes the study of concepts, tools, and practices of project management. The course adopts a managerial process approach to Project Management, which consists of initiating, planning, executing, controlling and closing the project. Major topics will include project scope, project time, project cost, project quality, project risk, project resources, project communications and how to be an effective project manager. Cases are utilized to integrate the learning in the course and provide decision- making experience for the student. |
| Total Credits: 36 | ||
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
What is a master's in data analytics?
As data proliferates and more and more of it moves to the cloud, today’s organizations need analysts who know how to use data to help improve an organization’s performance.
A master's in data analytics deepens your expertise in this area of study. It also keeps you current on the latest data methods and analysis techniques.
With this degree, you’ll hone your ability to help organizations gather and interpret data and improve their operational efficiency. You'll also learn how to apply your analytical skills in the workplace, including how to present your findings and manage data-driven projects.
SNHU’s online master’s in analytics program is designed to provide you with a well-rounded marketable skill set that’s in high demand across virtually every industry.
What can you do with a master's in analytics?
A master's in data analytics gives you the technical skills and business acumen to take on a variety of data-related roles, including:
- Data analyst
- Data scientist
- Operations research analyst
- Statistician
The work of data analysts and related occupations cuts across every industry, from automobile manufacturing to retail. They analyze operations, consumer behavior, health statistics, weather patterns and more.
Data analysts help organizations in the public and private sectors solve problems, improve operational efficiencies, cut costs and increase profits. They are critical to economic growth in every corner of the world.
Is an online master's in data analytics worth it?
Absolutely! An online master’s in data analytics is every bit as comprehensive, rigorous and worthwhile as the traditional campus degree. In fact, it’s one of the most valuable degrees you can earn – especially if you consider that a growing number of companies now conduct business partly or even entirely online.
SNHU’s master's in data analytics online can position you for a wide variety of roles in today’s fastest-growing industries.
Data analysts play an important role in every modern company, helping to understand the business and advise leadership on ways to move forward.
“Ultimately, the work of a data analyst provides insights to the organization that can transform how the business moves forward and grows successfully,” said Dr. Susan McKenzie, associate dean of STEM programs at SNHU.
At $627 per credit, SNHU’s master’s in data analytics is one of the most affordable in the nation. The program is designed to complete within as few as 15 months. However, you have the flexibility to progress through the program at your own pace, based on your work and life obligations.
How hard is data analytics?
That depends. Like anything, if you have practical experience and a natural aptitude for the discipline’s core skills – in this case, math, analytical thinking and technical abilities – you may take to it easily.
Dr. 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
SNHU’s 36-credit MS in Data Analytics features 9 core courses in information technology, including advanced coursework and a capstone. Foundation coursework explores the fundamentals of statistics and data and information management.
Are data analysts in demand?
The U.S. Bureau of Labor Statistics projects up to 30% job growth for data-related roles through 2028. Operations research analysts earn a median salary of $84,810 while computer and information research scientists command a median salary of $122,840.4 Salaries for other roles fall within this range.
Industries with the greatest need for advanced skills in data analysis include:
- Education
- Government
- Healthcare
- Manufacturing
- Professional, scientific and technical services
How do I become a data analyst?
If you’re eager to advance in the data analytics field, a master’s in data analytics can expand your options. The degree may help you qualify for senior-level positions and open more doors.
Another tangible benefit of this program is the experiential learning opportunities it offers. Some projects bring students together with employers to solve real-world problems while others help you gain critical job skills. Opportunities like this are invaluable, because they help bridge the gap between coursework and the hands-on experience employers are looking for.
What's the difference between data analytics and data science?
A data scientist will design new methods, models and algorithms to find innovative solutions and predict future patterns. Both data analysts and data scientists organize, interpret and present data, but data analysts focus on current data sets.
“While many data scientists also perform those tasks, in many organizations they are also charged with pioneering, where they apply their unique skill sets to 'peer into the future' and help leaders understand what questions should be asked in the first place,” Kamyck said.
Related Articles
References
Sources & Citations (1, 2, 3, 4, 5)
1Glassdoor, “50 Best Jobs in America for 2020,” on the internet, at: https://www.glassdoor.com/List/Best-Jobs-in-America-LST_KQ0,20.htm (viewed June 8, 2020).
2LinkedIn, “The Most Promising Jobs of 2019,” on the internet, at: https://blog.linkedin.com/2019/january/10/linkedins-most-promising-jobs-of-2019 (viewed June 8, 2020).
3Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, on the internet, at:
- https://www.bls.gov/OOH/math/mathematicians-and-statisticians.htm (viewed June 8, 2020)
- https://www.bls.gov/OOH/math/mathematicians-and-statisticians.htm (viewed June 8, 2020)
- https://www.bls.gov/OOH/math/operations-research-analysts.htm (viewed June 8, 2020)
- https://www.bls.gov/OOH/math/mathematicians-and-statisticians.htm (viewed June 8, 2020)
Cited projections may not reflect local and/or short-term economic or job conditions and do not guarantee actual job growth.
4Harvard Business Review, “Data Scientist: The Sexiest Job of the 21st Century,” on the internet, at: https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century (viewed June 8, 2020).
5According to more than 9,200 SNHU online students in survey responses from the fall of 2019.