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Associate in Data Analytics Online AS Degree Program

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Cost per credit $330

Total courses 20

Term length 8 weeks

Program Overview Why get an associate in data analytics?

Learn how to use data to solve business problems in the online Associate of Science (AS) in Data Analytics degree program from Southern New Hampshire University. This program is designed to meet the needs of today’s workforce, providing foundational data analytics knowledge and skills that are valuable across many technical areas, roles and industries.

Skills you'll learn:

  • Solve organizational problems with data
  • Communicate findings to technical and non-technical audiences
  • Apply data analytics standards to meet security, storage and privacy standards
  • Use quantitative and qualitative data analytics methods to respond to business challenges
Raymond Gammon, who earned a dgree from SNHU in 2020, holding a cell phone to his right ear and pointing to his laptop screen on his lap.

Courses & Curriculum Online AS Data Analytics courses for building your career

The associate in data analytics program is perfect for anyone looking to learn fundamental principles and skills used in data analytics. Whether you're new to the field or you already have experience, an associate degree in analytics could help you gain new knowledge and insights while qualifying your skills with a resume-worthy credential.

It can also provide a seamless pathway to a bachelor's, as all 60 credits may be transferred to our BS in Data Analytics program.

Degree Courses

Online AS Data Analytics degree courses

In the data analytics associate program, you'll gain an understanding of the various technical areas of data analysis as well as the industries in which it is used. You'll explore critical IT and data analytics concepts with courses that cover the role of data analytics in organizations, gathering requirements and collecting data, data policy and decision-making, emerging technologies and Big Data, data validation and how to get the right data.

Plus, all 60 credits of your completed associate degree will stack right into SNHU's BS in Data Analytics. Credits can also be applied to a variety of programs and concentration areas such as business management, cybersecurity, project management and software development.

Courses may include:

Course ID: DAT 205
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.
Course ID: DAT 220
A large portion of data analytics focuses on identifying meaningful patterns in data. Using a case studies approach, students will examine effective strategies that blend both hypothesis testing and data-driven discovery methods to identify meaningful data patterns and apply that knowledge to common business problems. Emphasis will be placed on data-mining tasks such as classification, clustering, and sequential pattern discovery.
Course ID: DAT 223
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.
Course ID: DAT 250
Students will explore the emergence of data governance at both the legal/regulatory and organizational policy levels, with a focus on its implications for data analytics. Students will also learn how data analysts can act ethically when confronted with data privacy and security concerns.
Course ID: IT 140
Students will learn the fundamentals of programming concepts including data types, variables, decision statements, loops, functions and file handling. By developing simple scripts, students will understand how to use common scripting language constructs including lists, literals, and regular expressions to build useful applications.

Visit the course catalog to view the full AS in Data Analytics curriculum.

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Upcoming term starts: March 3, 2025 | May 5, 2025

Next term starts:
Jan. 6, 2025

Online Student Experience What’s it like going to SNHU?

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Accreditations

SNHU is accredited by the regional accreditor the New England Commission of Higher Education (NECHE). The university also carries specialized accreditations for some programs.

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Tuition Cost & Savings College can be more affordable than you think

As a nonprofit university, SNHU offers some of the lowest online tuition rates in the country. And when you work with our Financial Services team, we'll explore ways to help you save even more on your education – and customize a payment plan that works for you.

Online associate tuition

Student
Cost per credit
Cost per course
Cost for 60-credit degree*
Full- and part-time students
$330
$990
$19,800
Active-duty military and spouses | Full- and part-time students**
$231
$693
$13,860

*before previously earned credits are applied

Tuition rates are subject to change and are reviewed annually.

**Note: Students receiving this rate are not eligible for additional discounts.

Additional costs: Course materials vary by course.

Transfer credits and lower your cost by:

$3,960 $7,920 $11,880 $14,850
Transfer credits and lower your cost by:

If 12 of your prior learning credits ($330/credit) are accepted toward your associate degree.

Your remaining tuition cost: $15,840

If 24 of your prior learning credits ($330/credit) are accepted toward your associate degree.

Your remaining tuition cost: $11,880

If 36 of your prior learning credits ($330/credit) are accepted toward your associate degree.

Your remaining tuition cost: $7,920

If 45 of your prior learning credits ($330/credit) are accepted toward your associate degree.

Your remaining tuition cost: $4,950

How we estimate your tuition cost:

We look at the cost per credit multiplied by the number of credits you need to earn for an associate degree. Most associate degrees require 60 credits. SNHU allows you to transfer in up to 45 credits, requiring a minimum of 15 credits to be taken at SNHU. This is only a tuition estimator and doesn't account for other fees that may be associated with your program of choice.

Career Outlook What can I do with an associate in data analytics?

Earning your associate in data analytics can help you gain foundational skills needed take on junior-level roles in industries like finance and insurance, federal government, manufacturing and professional, scientific and technical services. If you're already in a job you love, completing the program could help you take on more data analysis responsibilities and qualify the knowledge and skills you already have.

That said, if you're looking to position yourself for a higher-level role, the AS in Data Analytics can provide a strong pathway to a bachelor's degree in a variety of STEM areas.

Occupations

While many employers say they require a minimum of a bachelor’s degree for a data analytics job, an associate degree can position you for many entry-level roles jobs in data – especially if, at the same time, you’re also pursuing a bachelor’s degree in data analytics. You may find junior roles for jobs like:

Analyze organizational processes and systems to provide data-driven insights and recommendations for improving efficiency, productivity and profitability.

Collect and analyze complex data sets to identify trends, patterns and opportunities that inform decision-making and strategic planning within an organization.

Utilize statistical methods and tools to interpret data, uncover insights and communicate findings that support business objectives and drive informed decision-making.

Manage data collection, storage and retrieval processes, ensuring data integrity and availability while supporting the development and maintenance of data infrastructure.

Evaluate operational processes and performance metrics to identify areas for improvement, optimize resource allocation and enhance organizational effectiveness and efficiency.

33,500

Average math-related job openings projected each year through 2032 by the U.S. Bureau of Labor Statistics.1

18%

Higher median weekly earnings for associate degree holders when compared to those with a high school diploma, according to 2023 data from the BLS.1

Understanding the numbers
When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, geographic location, worker skill and economic conditions. Cited projections do not guarantee actual salary or job growth.

Frequently Asked Questions

The key difference between a bachelor's and associate degree in data analytics is the depth of the topics covered. Put simply, a bachelor's degree picks up where an associate degree leaves off.

With an associate degree in data analytics, you'll be better equipped to understand and share accurate information with stakeholders at a company.

A bachelor's will build upon those foundational skills.

"The BS in Data Analytics will expand your learning with technical abilities and professional skills," said Dr. Susan McKenzie, senior associate dean of STEM programs. You'll gain skills to help organizations leverage data through innovative practices and help inform decision-making. In addition, you'll learn about aspects of data science including data management and security. Upon graduation, you'll become skilled in interpreting business questions through a data lens, collecting and cleaning data, visualizing data and communicating analytical results and recommendations.

Typically, an associate in data analytics takes about 2 years to complete. A bachelor's takes 4 years. But here's what's great about earning your data analytics associate degree at SNHU: Once you finish, you can transfer all your credits toward your online bachelor's degree. That means, in 4 years, you can still earn your BS in Data Analytics, but also get an associate credential halfway through.

This is helpful not only as a way to show employers what you've learned, but also as a personal benchmark on the road toward reaching your goals.

While it might be easy to confuse data analytics and data science, they are different. It helps to think about it in terms of what data analysts and data scientists actually do.

Simply put:

  • Data analysts gather and analyze data
  • Data scientists develop statistical models and apply scientific methods to make predictions

Take weather forecasts, for example. A data analyst would be in charge of collecting data such as humidity, temperature and barometric pressure. Then, that data would be handed off to a data scientist who would use it to predict a weather event, like a blizzard.

"They're looking at the data to identify patterns and to decide scientifically what the result is," said Dr. Susan McKenzie, senior associate dean of STEM programs. "The data analyst works on a subset of what the data scientist does."

Depending on your desired career track, a data analytics degree could help you build skills employers want to see.

Paulitia Sheldon, a data analytics instructor at Southern New Hampshire University, notes that 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 are a few different ways you can use an associate degree in data analytics. First, you can use it to pursue entry-level roles in data analysis or data management.

Your second option is to use your associate degree as a stepping-stone for further education. According to the U.S. Bureau of Labor Statistics, job growth and salary projections for data roles with a minimum entry-level of a bachelor's appear promising in the coming years.1 Operations research analysts, for example, reportedly earned a median salary of $83,640 in 2023, and these occupations are set to grow 23% through 2032 – far faster than the national projections for all occupations.1

An associate degree can be the start of a rewarding journey toward career advancement. Each step can represent a new level of opportunity, with a bachelor's and above paving the way for roles such as operations research analyst, mathematician or statistician and market research analyst.

Perhaps not surprisingly, there is also evidence to show a correlation between level of education and earning potential. In 2023, the BLS reported weekly median earnings of $899 for high school diploma holders across all occupations.1 By comparison, those with an associate degree earned weekly median wage of $1,058.1 That number continues to climb with each level of education, with bachelor's degree recipients earning a median weekly wage of $1,493 and those with a master's degree earning $1,737 weekly.1

The first step is finding schools that offer an AS in Data Analytics program. Then, compare them. Ask yourself, "Is this school – and this program – right for me?"

At SNHU, we offer:

  • Low online tuition. As an accredited university built for people, not for profit, we are committed to making education more accessible by making it more affordable.
  • Transfer-friendly pathways. We want to make sure you're rewarded when you put in the work. That's why we accept up to 45 transfer credits toward your associate degree for previous college experience. Better yet, all of the credits you earn for your data analytics associate degree can be transferred to one of our bachelor's degrees in IT. That means, when you finish your associate degree, you're already halfway toward earning your bachelor's, too.
  • Expert faculty. We pride ourselves on offering an excellent online learning experience. That quality can be credited to the work of our SMEs and instructors who leverage years of expertise to help prepare you for real-world success.
  • Networking opportunities. Speaking of real-world success – we know the power of putting students in front of employers and industry experts. That's why we offer access to a number of annual events and competitions, including the Teradata University Data Challenge and the Grace Hopper Celebration.

Sources & Citations

1 Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, on the internet, at:

  • https://www.bls.gov/ooh/math/ (viewed April 12, 2024)
  • https://www.bls.gov/emp/chart-unemployment-earnings-education.htm (viewed April 12, 2024)
  • https://www.bls.gov/OOH/math/operations-research-analysts.htm (viewed April 12, 2024)

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