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Round table of data analysts reviewing documents. With Text Amanda Stites '16

Data Analytics Degree Online Bachelor of Science

  • Program Highlights
  • Career Outlook
  • Curriculum
  • Tuition & Fees
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Register By: January 4 Classes Start: January 6

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

 

Request InfoApply Now

Data Analytics Degree Program Overview

Using data to inform business decisions is critical to the success of organizations. And 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, you can become crucial to finding the solutions for organizational challenges.

Benefits of a data analytics degree from SNHU

  • Median annual salary of $88,190 for statisticians and mathematicians*
  • 33% projected job growth for statisticians and mathematicians through 2026*
  • Master industry-standard tools like Python, SQL, Tableau, SAS and R for scripting, data manipulation, visualization and statistical analysis
  • Create a digital portfolio of your projects to share with employers
  • Take advantage of student support that includes tutoring in math, statistics and programming
  • Multiple term starts throughout the year - complete your degree at your own pace
  • 24/7 online accessibility - attend class when and where it's convenient
  • One of the lowest tuition rates in the nation

The undergraduate data analytics degree online combines facets of business, information technology and mathematics using data mining, simulation and optimization. You’ll use industry-standard tools – like Python, SQL, Tableau, SAS and R – that focus on scripting, data manipulation, visualization and statistical analysis.

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. Communication, storytelling, problem solving, visualization – your degree can help you succeed in all aspects of a data analysis role.

Upon earning your BS in Data Analytics, you'll be able to:

  • Solve business problems and communicate solutions to technical and non-technical audiences
  • Apply data analytics standards and policies to meet the security needs of organizations
  • Work with teams to provide the data needed to inform business decisions
  • Use industry tools to gather, interpret and visualize data techniques most appropriate for a given challenge
  • Use quantitative and qualitative data analytics methods to respond to a variety of business challenges

To launch your data analytics career, you’ll compile work throughout your degree program for a data analytics portfolio. 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 like online tutoring.

Concentration Options

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 from Southern New Hampshire University.

According to the U.S. Bureau of Labor Statistics, operation research analysts occupations are projected to grow 26% through 2028.2 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
  • Operations Management
  • Leveraging Data Analysis for Organizational Results

Career Outlook

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:

  • Data analyst
  • Business analyst
  • Data engineer
  • Marketing analyst
  • Financial analyst

According to the U.S. Bureau of Labor Statistics, demand for mathematicians and statisticians tops the list at 30% growth through 2028.2 The need for operations research analysts is projected at 26%, and market research analyst growth is projected to see 20% growth.2

Start Your Journey Toward an Online Data Analytics Degree

Why SNHU For Your Data Analytics Degree

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 90 credits from your previous institution.

Respected

Founded in 1932, Southern New Hampshire University is a private, nonprofit institution with over 100,000 graduates across the country. SNHU is regionally accredited by the New England Commission of Higher Education (NECHE), 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

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. Students of the BS in Data Analytics program, for example, may participate in the Teradata University's annual Network Data Analytics challenge – where past SNHU students have received two honorable mentions and one top 10 placement.

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 the field. Plus, with our growing, nationwide alumni network, you'll have the potential to tap into a number of internship and career opportunities.

See why 96% of students would recommend SNHU.*

Admission Requirements

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.

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 who's been teaching at SNHU since 2014, is one of them.

"I am just always so impressed with the careers and life experiences our students share and how they also balance their master's program," Sheldon said. "I have had the opportunity to be involved with hundreds of students during my time at SNHU, and we have so many amazing learners."

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. In addition, students can elect to learn SAS or SQL modeling techniques.

Curriculum Requirements & Resources

  • General education courses: All bachelor's students are required to take general education classes, if not obtained in prior coursework. Through these foundation, exploration and integration courses, students learn to think critically, creatively and collaboratively, giving you the edge employers are looking for.
  • Technology resources: 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 for what you already know: Save time and tuition with our Pathways to Math Success assessments. Show your knowledge of the materials in your program's math courses, and you could earn up to 9 math credits – at less than $50 for each course assessment.

View Full Curriculum in the Catalog

BS in Data Analytics

Courses May Include

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)
Examine STEM applications of statistical inferential techniques using scripting languages. Learn how to solve statistical problems through the use of advanced statistical computer coding. Develop in-depth knowledge of probability distributions, sampling distributions, estimation, hypothesis testing, and linear regression.
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
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.

Total Credits: 120

Program Outcomes

  • Integrate appropriate tools and technology in the development of analytical algorithms and models that meet various business and industry requirements
  • Employ accurate and detailed analysis throughout the life cycle of data analytics initiatives to ensure the integrity and validity of reports
  • Evaluate requirements and specifications of business problems to recommend possible solutions provided by data analytics initiatives
  • Apply appropriate data warehousing and database management solutions to meet the security, quality, storage, and privacy needs of organizations
  • Apply quantitative techniques, including probability, statistics, optimization, and simulation to deploy appropriate models for prediction and analysis
  • Collaborate on multi-functional teams throughout the life cycle of data analytics initiatives to improve the quality and input of projects
  • Protect the integrity and privacy of data, organizations, and consumers through technology solutions and ethical practices in all aspects of the profession
  • Design and deliver presentations, reports, and recommendations that effectively translate technical results and are coherent and persuasive to a variety of stakeholders internal and external to an organization

Tuition & Fees

Tuition rates for SNHU's online degree programs are among the lowest in the nation. We 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*
Degree/Certificates $960 $320
Degree/Certificates
(U.S. service members, both full and part time, and the spouses of those on active duty)
$675 $225

*Tuition Rates are subject to change and are reviewed annually.

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 analyst degree worth it?

Depending on your desired career track, a data analyst degree could help you build 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 some, like SNHU data analytics student Maria Corral, finding what she loved took years of reinvention.

"After 10 years [as a clinical research assistant], I still felt that I needed to grow more professionally to put into practice all my knowledge in this field," Corral said.

Eventually she took that skillset to a university, where she was hired as an associate research scientist for a research group. In that capacity, she was suddenly expected to learn more about data information and technology. What may have seemed an obstacle to some became a game-changing opportunity.

"I decided to study to be more knowledgeable in this field. [So] I applied [at SNHU]. When I was notified that I was accepted I was very happy, and I think this was a big accomplishment for me because it opened up a new path in my professional career."

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," McKenzie said.

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.* For mathematicians and statisticians, typical entry-level education is a master's.*

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 accessible to 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 (681,900) and operations research analysts (109,700) through 2028.2

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 and analyze data, while
  • 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," McKenzie explained. "The data analyst works on a subset of what the data scientist does."

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.

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.

More

Related Articles

A team of two exploring data analyticsWhat Is Data Analytics? Female business analyst reviewing data on a tabletWhat Does a Data Analyst Do? Paulitia SheldonData Analytics Instructor Paulitia Sheldon: A Faculty Q&A

*According to a survey of over 12,000 SNHU online students conducted in the fall of 2018.

2 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 Nov. 8, 2019)
  • https://www.bls.gov/ooh/math/operations-research-analysts.htm (viewed Nov. 8, 2019)
  • https://www.bls.gov/ooh/business-and-financial/market-research-analysts.htm (viewed Nov. 8, 2019)

Cited projections may not reflect local and/or short-term economic or job conditions and do not guarantee actual job growth.

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