Data Analytics Degree Online Bachelor of Science

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

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.*

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.

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.

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.

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."

"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

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.

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.