Become a Critical Part of Any Business with a Data Analytics Degree Online
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.
Why earn a data analytics degree at 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
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 6 math credits – at less than $50 for each course assessment.
Concentrations
Project Management
Dive into the methodologies and tools necessary for managing projects effectively in terms of time, cost, quality, risk and resources. Learn to create detailed project plans for real-life scenarios, focusing on project risk, project integration, quality and procurement.
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See Yourself Succeed in Data Analytics
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:
- Identify and define data challenges in a variety of industries
- Collect and organize information from many sources
- Communicate with workers and subject-matter experts who are involved in both the broad-based and industry-specific situations
- Examine data and determine what is relevant and how to analyze it
- Use statistical analysis, simulation and optimization to analyze data and develop applicable, real-world solutions
- Advise decision-makers and stakeholders on the best courses of action
- Communicate findings and recommendations for managers, executives and other officials
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.
As a private, nonprofit university, SNHU has one mission – to help you see yourself succeed. The benefits of earning your bachelor’s in data analytics at SNHU include:
- Affordability. Take advantage of some of the most affordable tuition rates in the nation
- Convenience. Attend class when it’s convenient for you – online education means 24/7 access
- Efficiency and flexibility. Complete your undergraduate degree at your own pace, over six 8-week terms per year
- Expert instruction. Learn from instructors with relevant, real-world experience
- Networking. Tap into our nationwide network of alumni for internship and career opportunities
- Simple application process. Just fill out an online undergraduate application, and we’ll retrieve U.S. transcripts from your previous institutions and automatically complete an official credit evaluation. Plus, there’s no application fee
- Student support. Count on the ongoing support of dedicated academic and career advisors specialized in your area of study
- Transfer-friendly enrollment. Transfer up to 90 credits toward an undergraduate degree
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 market researcher, statistician, data miner, analyst and information technology specialist.
According to the U.S. Bureau of Labor Statistics, demand for mathematicians and statisticians tops the list at 33% growth through 2026.* The need for operations research analysts is projected at 27%, and market research analyst growth is projected to see 23% growth.*
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.
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.
New students are eligible to participate in Pathways to Match Success, a math assessment that allows you to earn math credits toward your degree. Learn more today.
Courses To Prepare You For Your Career
SNHU's bachelor's in data analytics program includes:
- General education
- Degree-specific courses
General Education Program
Our programs are designed to equip you with the skills and insights you need to move forward. In recent years, employers have stressed the need for graduates with higher order skills - the skills that go beyond technical knowledge - such as:
- Writing
- Communication
- Analysis
- Problem solving
MAT 136 - Introduction to Quantitative Analysis, MAT 140 - Precalculus and MAT 243 - Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM) are dictated courses for the general education program.
All bachelor's students are required to take general education classes. Through foundation, exploration and integration courses, students learn to think critically, creatively and collaboratively, giving you the edge employers are looking for.
View Full Curriculum in the Catalog
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.
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)
University Accreditation
Southern New Hampshire University is a private, nonprofit institution accredited by the New England Commission of Higher Education as well as several other accrediting bodies. More...
*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, https://www.bls.gov/ooh/math/operations-research-analysts.htm and https://www.bls.gov/ooh/business-and-financial/market-research-analysts.htm (viewed online June 13, 2019). Cited projections may not reflect local and/or short-term economic or job conditions and do not guarantee actual job growth.