Earn Your Data Analytics Degree Online
- $320/credit (120 total credits)
- Transfer up to 90 credits
- Accredited by NECHE
- Solve real-world analytical problems
- Master professional analytical tools
- Present findings that inform decisions
Data Analytics Degree Program Overview
Using data to inform business decisions is critical to the success of organizations. As businesses become smarter, more efficient and savvier at predicting future opportunities and risks through data analysis, the need for professionals in this field continues to rise – and with it, so does the value of a Bachelor of Science in Data Analytics.
Southern New Hampshire University's data analytics degree online program will position you to capitalize on this critical business requirement, and by doing so, can help you become crucial to finding the solutions for organizational challenges.
In addition to learning data navigation, validation and techniques, you’ll develop the soft skills necessary to be a vital decision-maker within an organization. And to ensure that you fully understand the hard and soft skills needed to become an effective data analyst, SNHU offers data students extensive support such as online tutoring.
What You'll Learn
- Tools like Python, SQL, Tableau, SAS and R
- Quantitative/qualitative data analytics methods
- Analytical requirements
- Data analytics standards and policies
- Digital portfolio creation
How You'll Learn
At SNHU, you'll get support from day 1 to graduation and beyond. And with no set class times, 24/7 access to the online classroom, and helpful learning resources along the way, you'll have everything you need to reach your goals.
Project Management for STEM
Dive into the methodologies and tools necessary for managing projects effectively in terms of time, cost, quality, risk and resources with a Bachelor of Science in Data Analytics with a concentration in Project Management for STEM (Science, Technology, Engineering and Math) from Southern New Hampshire University.
According to the U.S. Bureau of Labor Statistics, operation research analyst occupations are projected to grow 23% through 2031.1 A concentration in project management in STEM can help graduates gain the knowledge and skills they need to stand out, and ultimately break into an entry-level role.
The project management concentration explores crucial aspects for managing analytical projects and teams effectively through the unique lens of a data analytics degree program.
Students will also develop the skills of an experienced project manager by creating detailed project plans for real-life scenarios, focusing on project risk, project integration, quality and procurement. Business processes and goals and necessary techniques are emphasized using authentic scenarios to ensure that business results are achieved.
Courses may include:
- Project Management
- Resource Estimating and Scheduling
- Critical Business Skills for Success
Upon completion of the data analytics degree online bachelor's program, you can explore a wide range of career options across public, private and nonprofit sectors, including:
Gather data, and use it to create insightful reports that tell a story. Data analysts work in all industries, making it easier for you to find a career you're passionate about.
Identify problems and solutions for your organization. Evaluate and review processes, and present recommendations to key stakeholders and leaders.
Discover inefficiencies in processes within your company, and implement strategies to improve business. Use simulations or predictive modeling to review information.
Often a consulting role, management analysts may interview personnel and conduct observations to make recommendations. They'll also follow up to ensure changes are productive.
A data analyst is good with numbers – but make no mistake, they're a lot more than a number cruncher. Analysts actually review data and determine how it can be used to solve problems, learn key insights about a business's customers and boost profits. Analysts also work to communicate this information with key stakeholders, including company leadership.
If you plan to continue your education, and potentially open up opportunities in management-level roles, SNHU's online master's in data analytics can offer a seamless next step to help you get there.
Job Growth and Salary
Data is big business today. And because organizations want all the data that can help them make the right decisions, it's no wonder that these jobs are both in demand and well paid.
Through 2031, the U.S. Bureau of Labor Statistics projects 31% projected job growth for statisticians and mathematicians through 2031 – much faster than the average for all occuprations.1 In addition, roles for operations research analysts are projected grow 23% and market research analyst jobs may see 19% growth in the same time period.1
The BLS reports that the median annual salary in 2021 was $96,280 for statisticians and mathematicians.1 That's more than double the median pay for all workers.
Start Your Journey Toward an Online Data Analytics Degree
Why SNHU For Your Data Analytics Degree
With no set class meeting times, you can learn on your schedule and access online course materials 24/7.
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 90 credits from your previous institution.
Founded in 1932, Southern New Hampshire University is a private, nonprofit institution with over 160,000 graduates across the country. SNHU is accredited by the New England Commission of Higher Education (NECHE), a regional accreditor, which advocates for institutional improvement and public assurance of quality.
Recently, SNHU has been nationally recognized for leading 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
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 the field. Plus, with our growing, nationwide alumni network, you'll have the potential to tap into a number of internship and career opportunities.
96.5% of students would recommend SNHU.2 Discover why SNHU may be right for you.
Part of our mission to expand access to quality higher education means removing the barriers that may stand between you and your degree. That’s why you can apply at any time and get a decision within days of submitting all required materials.
Acceptance decisions are made on a rolling basis throughout the year for our 6 (8-week) undergraduate terms.
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. Start by:
- Completing a free undergraduate application
- Providing previous institutions attended – so we can retrieve transcripts for you at no cost
Test scores are not required as part of your application.
Prepare for Your Career
Dr. Susan McKenzie, Associate Dean of STEM Programs at SNHU
"Data analysts are in high demand across many industries and fields as data has become a very large component of every business. The undergraduate degree in data analytics provides an entry place into many of these careers depending on the skills of the individual."
Courses & Curriculum
The curriculum for SNHU's undergraduate data analytics degree was created to address the onslaught of data that organizations face every day. Each course was designed to prepare you for a particular element of a successful data analytics career.
You'll learn from expert instructors who will facilitate meaningful discussions in the online classroom. Paulitia Sheldon, a data analytics instructor at SNHU, is one of them.
"I found Southern New Hampshire University in 2014, and from day one have just felt connected to the mission of learning," Sheldon said.
"I am just always so impressed with the careers and life experiences our students share and how they also balance their master's program," she continued. "I have had the opportunity to be involved with hundreds of students during my time at SNHU, and we have so many amazing learners."
Curriculum Requirements & Resources
Degree Specific Courses
The bachelor's in data analytics coursework combines data mining and structure with modeling and communication to build a broad and thorough education that will serve you well throughout your career.
All bachelor's students are required to take general education classes. Through these foundation, exploration and integration courses, students learn to think critically, creatively and collaboratively, giving you the edge employers are looking for.
We provide 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.
Earn Math Credits
Save time and tuition with our Pathways to Math Success assessments. Depending on your scores, you could earn up to 12 math credits – the equivalent of 4 courses – toward your degree for less than $50 per assessment. For additional information, or to register for a Pathways to Math Success assessment, contact your admission counselor or academic advisor today.
|View Full Curriculum in the Catalog|
|BS in Data Analytics|
|Courses May Include|
|BS in Data Analytics Online|
|DAT 205||Role of Data Analysis in Organizations||Students will analyze the role of data analysis and data analysts within organizations. Students will also gain an understanding of the various areas of data analysis as well as the industries in which it is used, and explore the types of professional roles that exist in the world of data.|
|DAT 223||Gathering Requirements and Collecting Data||Students will examine methods for diagnosing organizational problems in order to determine the data requirements to solve them. In addition, students will learn how to gather data and supporting documentation necessary for effective data analysis.|
|DAT 260||Emerging Technologies and Big Data||Students will explore contemporary systems and technologies impacting the field of data analytics, including the cloud, AI, and machine learning. Students will also gain exposure to areas of technology that provide opportunities for future professional specialization, such as emerging Big Data technologies that can support the work of data analysts.|
|DAT 375||Data Analysis Techniques||Students will apply common methods that data analysts use to perform data analysis. Students will also use critical tools and technology to draw conclusions from the analysis that are relevant to organizational challenges.|
|DAT 430||Leveraging Data Analysis for Organizational Results||Students will learn how data analysis can be leveraged for the advancement of organizational initiatives through effective collaboration with organizational stakeholders. Students will also explore data visualization tools and techniques that help data analysts communicate the results of their work in ways that make those results actionable.|
|DAT 475||Applied Data Analysis||Students will discover how data analysis is applied in organizational scenarios to gain insight from even imperfect data. Students will also explore more advanced data analytics methods such as collaborating on hypothesis testing and performing root cause analysis, and they will practice presenting visualizations of data analysis that highlight the insights gained from analysis.|
|MAT 225||Calculus I: Single-Variable Calculus||Calculus is the mathematical study of change that has widespread applications in science, engineering, economics and business. This course provides a rigorous introduction to single-variable calculus. Topics include limits, continuity, differentiation and integration of algebraic, trigonometric, exponential, and logarithmic functions, applications of derivatives, and integration, including the Fundamental Theorem of Calculus. This course will encourage students to think beyond memorizing formulas and to work towards understanding concepts.|
|MAT 243||Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM)||Students will examine STEM applications of statistical inferential techniques. Students will learn how to solve statistical problems using a scripting language. Additionally, students will learn how to apply various statistical techniques such as probability distributions, sampling distributions, estimation, hypothesis testing, and linear regression.|
|Total Credits: 120|
Minimum Hardware Requirements
PC (Windows OS)
Apple (Mac OS)
Currently supported operating system from Microsoft.
Currently supported operating system from Apple.
8GB or higher
8GB or higher
100GB or higher
100GB or higher
Required for campus students. Strongly recommended for online students.
Required for campus students. Strongly recommended for online students.
SNHU Purchase Programs
5 Mbps Download, 1 Mbps Upload and less than 100 ms Latency
5 Mbps Download, 1 Mbps Upload and less than 100 ms Latency
- Laptop or desktop? Whichever you choose depends on your personal preference and work style, though laptops tend to offer more flexibility.
- Note: Chromebooks (Chrome OS) and iPads (iOS) do not meet the minimum requirements for coursework at SNHU. These offer limited functionality and do not work with some course technologies. They are not acceptable as the only device you use for coursework. While these devices are convenient and may be used for some course functions, they cannot be your primary device. SNHU does, however, have an affordable laptop option that it recommends: Dell Latitude 3301 with Windows 10.
- Office 365 Pro Plus is available free of charge to all SNHU students and faculty. The Office suite will remain free while you are a student at SNHU. Upon graduation you may convert to a paid subscription if you wish. Terms subject to change at Microsoft's discretion. Review system requirements for Microsoft 365 plans for business, education and government.
- Antivirus software: Check with your ISP as they may offer antivirus software free of charge to subscribers.
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.
Tuition & Fees
As a private, nonprofit university, we’re committed to making college more accessible by making it more affordable. That’s why we offer some of the lowest online tuition rates in the nation.
We also offer financial aid packages to those who qualify, plus a 30% tuition discount for U.S. service members, both full and part time, and the spouses of those on active duty.
|Online Undergraduate Programs||Per Course||Per Credit Hour||Annual Cost for 30 credits|
|Degree/Certificates (U.S. service members, both full and part time, and the spouses of those on active duty)*||$675||$225||$6,750|
Tuition Rates are subject to change and are reviewed annually. *Note: students receiving this rate are not eligible for additional discounts.
Additional Costs No Application Fee, $150 Graduation Fee, Course Materials ($ varies by course)
Frequently Asked Questions
What is a data analytics degree?
The BS in data analytics is an online degree program from SNHU – a private, nonprofit, accredited university. It is specifically designed for learners looking to break into a data analysis role.
According to Susan McKenzie, associate dean of STEM programs at Southern New Hampshire University, data analysts play an important role in today's workforce.
"Ultimately, the work of a data analyst provides insights to the organization that can transform how the business moves forward and grows successfully," she said.
Read more about what data analytics is.
Is a data analytics degree worth it?
Depending on your desired career track, a data analyst degree could help you build both the technical and soft skills employers want to see.
For Paulitia Sheldon, a data analytics instructor at Southern New Hampshire University, a degree is important – not just for the credential, but as a way to establish a lifelong habit of exploration and learning.
"One thing I tell students is that these programs give you a terrific foundation of knowledge you need to succeed," Sheldon said. "However, as with most things, to differentiate, you have to commit to yourself that you will keep learning. There is so much information and places online you can practice and grow your skills. I think that is how you continue to separate from others. Find what you love and do it well."
For Chelsey Blowe, a degree in data analytics presented an opportunity to open up her future.
"I was drawn to the BS in Data Analytics at SNHU because I see data as the way of the future," Blowe said. "Companies are relying on data now more than ever to find innovative ways to help consumers. I want to be a part of that innovation."
Earning a degree hasn't always been easy for Blowe, a working mom who's struggled with school in the past. But with a supportive faculty and flexible class times, she discovered new ways to start unlocking her full potential.
"My most memorable learning experience at SNHU was my data policy class," she said. "I tend to overthink my assignments and I was struggling to complete my project. But my instructor called me personally to let me know that I'm on track. It was the encouragement I needed to push through and complete my project. That support reassured me that I made the right choice attending SNHU."
This support became a catalyst to keep going. And before she knew it, she was being recognized for her hard work.
"My proudest accomplishment so far is being on the dean’s list and then being invited to be a part of the honor society at SNHU. School was a struggle for me when I was growing up, and being recognized for my grades while working and being a mom is such a rewarding feeling."
These milestones are just the beginning. Today, Blowe has her sights set on making a bigger impact with her current employer.
"This degree has opened doors by allowing me to be invited to initiatives that use data analytics to enhance our customer experience," she said.
What qualifications do you need to be a data analyst?
"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 master the necessary skills for the current marketplace," said Susan McKenzie, associate dean of STEM programs at Southern New Hampshire University.
The U.S. Bureau of Labor Statistics reaffirms this, reporting that typical entry-level education for operations research analysts and market research analysts is a bachelor's degree.1 For mathematicians and statisticians, typical entry-level education is a master's.1
Successful data analysts must possess strong mathematical and statistical skills, as well as:
- Analysis skills to gather, view and analyze information
- Numerical skills to measure and statistically analyze data
- Technical skills including software and scripting languages to organize and present data
- Communication skills to relay findings and possible solutions to company stakeholders and leadership
- Critical-thinking skills to identify and interpret trends or opportunities for improvement within data
What can you do with a data analytics degree?
As a data analyst, you can use data to make a major impact in a variety of industries. For example, you might use data and statistics to help recruit talented up-and-comers for a professional soccer team. On the other hand, you might work for a large financial institution, helping to manage and assess consumer databases.
Massive amounts of data are becoming a reality for large and small businesses alike. For this reason, the need for data analysts appears to be on the rise. The U.S. Bureau of Labor Statistics predicts significant job growth for market research analysts (150,300) and operations research analysts (104,200) through 2031.1
Along with data analysts, many organizations are introducing information analyst teams, with data-focused roles such as database administrators, data scientists, data architects, database managers and data engineers.
What is the difference between a data analytics degree and a data science degree?
While the terms data analyst and data scientist are often used interchangeably, the roles do differ significantly.
Put in simple terms:
- Data analysts gather, analyze and present data
- Data scientists develop statistical models and apply scientific methods to make predictions
Weather indicators are one good example. In this case, the data analyst will likely be responsible for gathering temperature, humidity or barometric pressure. On the other hand, the data scientist would likely be tasked to use that data to predict an incoming weather event, like a tropical storm.
"They're looking at the data to identify patterns and to decide scientifically what the result is," said Susan McKenzie, associate dean of STEM programs at Southern New Hampshire University. "The data analyst works on a subset of what the data scientist does."
Dr. Brian Letort, adjunct instructor of data analytics at SNHU, adds another key differentiator: “A data analyst is a storyteller. When you look at the data, you look for ways to present it visually to other stakeholders as a narrative, considering the visuals you might use to make the data accessible to them,” he said.
He breaks it down this way: “If you like programming and writing code and learning about machine learning and algorithms you’ll probably like data science better. If you like visualization, storytelling, people and business processes in addition to working with data, you’ll probably like data analytics better.”
Another important distinction between the two is that data scientists are often expected to have a minimum master's-level education. By contrast, many entry-level data analyst roles typically require a bachelor's – although graduates of a master's program may open doors to roles in leadership.
What should I major in to become a data scientist?
In many cases, entry-level education for a data scientist is a master's degree in data or a related field.
Fortunately, if you know you'd like to work your way up to a data science role, SNHU offers an online MS in Data Analytics. There are several benefits to starting and continuing your education at SNHU, including:
- Some of the lowest online tuition rates in the nation
- A seamless admission process, with no GMAT or GRE scores required
- The ability to earn a master's in as few as 15 months – saving you time and tuition
- Multiple term starts per year
Is data analysis an IT job?
Not necessarily. IT jobs often require a number of skills that aren't always part of a data analyst's toolkit. Typical skills for IT professionals include:
- Computer programming
- UX and systems design
- Systems security, evaluation and risk management
- Web-oriented services
- Computing as a service
It's important to note that the BS in Data Analytics program is laser-focused on data skills, including data collection, validation, analysis and visualization – none of which are mandatory for a typical IT job. If, however, you're specifically looking for a program that combines a foundation in information technology with data analysis concepts, check out our online IT degree with a concentration in data analytics.
What is the salary of a data analyst?
Like any occupation, the salary of a data analyst will vary by industry, region, education and experience.
That said, the U.S. Bureau of Labor Statistics, reported that the median annual pay for mathematicians and statisticians was $96,280 in 2021.1 In that same time frame, the median annual salary was $82,360 for operations research analysts and $63,920 for market research analysts.1
With promising salary prospects, as well as faster-than-average projected job growth, data analysts appear to have a bright future.
What is the difference between data analytics and business analytics?
While data analysts and business analysts share similar roles and responsibilities, there are key differences between the two.
While data analysts are hunter-gatherers of data tasked with telling stories via reports and data visualization software, they often don't take an active role in what happens next. In many cases, their insights are handed off to another team that can use the information to solve various business challenges.
A business analyst, on the other hand, uses data findings to push initiatives that can help make organizations run smoother. They are agents of change – whether it's providing support for a new product, measuring and improving the success of a marketing campaign, or identifying ways to optimize process. At the end of the day, their bottom line is to actively make their business better.
With increased demand for those who can source, interpret and tell stories through data, both data analysts and business analysts are finding opportunities in a number of different industries.
According to a 2019 survey from the International Institute of Business Analytics, the top industries for business analysts were information technology; finance and insurance; business, professional services and consulting; government and the public sector; and healthcare and social services.3
Sources & Citations (1, 2, 3)
1 Bureau 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 Oct. 21, 2022)
- https://www.bls.gov/ooh/math/operations-research-analysts.htm (viewed Oct. 21, 2022)
- https://www.bls.gov/ooh/business-and-financial/market-research-analysts.htm (viewed Oct. 21, 2022)
Cited projections may not reflect local and/or short-term economic or job conditions and do not guarantee actual job growth.
2 According to survey responses from over 9,200 SNHU online students conducted in the fall of 2019.
3 International Institute of Business Analytics, 2019 Global BA Salary Survey Infographic, on the internet, at https://www.iiba.org/globalassets/professional-development/career-centre/global-ba-salary-survey/files/2019/specialist-survey-infographic.pdf (viewed May 11, 2021)