Graduate
MS in Data Analytics | 100% Online | Under $10,000
Build the skills employers are hiring for — predictive modeling, machine learning, and data visualization — without pausing your career. Alvernia's Master of Science in Data Analytics is a fully online, asynchronous program, meaning you complete coursework on your own schedule, no fixed class times required.
You'll graduate with hands-on experience in SAS, Python, R, and Tableau, and the ability to turn raw data into decisions that matter, for your team, your organization, or your next career move.
• Learn on your schedule. Coursework is asynchronous, so you log in and study when it works for you, with no set class times.
• Finish in as little as two years, completing one seven-week course at a time.
• Start when it fits your life: new sessions begin in fall, spring and summer.
• Graduate with a portfolio of real-world analytics projects and an industry-recognized SAS credential.
- Program Length:
-
2 Years
- Course Length:
-
7 Weeks
- Tuition:
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$315 Per Credit
- Study Format:
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Online
- Credit Hours:
- 30
Earn an Industry-Recognized SAS Credential Online
Alvernia's MS in Data Analytics includes an embedded specialization in AI-Enhanced Predictive Analytics and Visualization, built in partnership with SAS, one of the most widely used analytics platforms in the industry. You'll complete this specialization asynchronously, alongside your core coursework, working with the same enterprise tools used by professional analysts.
By the end of the program, you'll be able to:
• Apply AI-enabled analytics techniques within the SAS environment
• Build, evaluate, and interpret predictive and machine learning models
• Communicate findings clearly through data visualization
• Adapt your analytics skills across tools and platforms, not just SAS
When you complete the specialization, you'll earn a Credly digital badge: a verifiable credential you can add to your LinkedIn profile, resume, or portfolio, giving employers proof you can work with enterprise-level analytics tools from day one.
Affordable. Flexible. Career-Focused.
A Curriculum Built for Working Professionals
Every course in the program is delivered online and asynchronously, so you're never tied to a set login time. You'll move through one 7-week course at a time, a focused pace that lets you go deep on each topic instead of juggling multiple classes at once. Explore the full course-by-course breakdown below.
High-Earnings Potential
According to the U.S. Bureau of Labor Statistics, various roles such as financial analyst, with an average salary of $101,000, market research analyst with an average salary of $71,500, and positions in big data and machine learning, are in high demand.
Fast-Growing Profession
Businesses, both large and small, are actively seeking professionals versed in data analysis and entrepreneurship, capable of leveraging an interdisciplinary approach to unlock the potential of data as a predictive and strategic asset.
Job Prospects
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Market Research/Financial Analyst
- Operations Research Analyst
Program Overview
What Students Gain
Through this specialization, students will:
Apply AI‑enabled analytics techniques within the SAS environment
Build, evaluate, and interpret predictive and machine learning models
Communicate analytical findings using effective data visualization
Develop transferable analytics skills adaptable across tools and platforms
Support organizational and strategic data‑driven decision making
Achieve More With a Data Analytics Degree
- Students will conduct a capstone project aimed at analyzing real-world data within their own workplace. This project will apply and reinforce concepts learned throughout the program in a unique and personal context.
- Students will analyze real-world datasets using various in-demand programming languages such as Python and R.
- Students will use Tableau and SAS Viya, some of the world's leading visualization software programs for data analytics.
Along with your completed application accompanied by $50 non-refundable application fee, you’ll need to provide a few supporting materials.
- Complete your online graduate application.
- Order your official transcript(s). Request the college or university send transcript(s) to gradandadult@alvernia.edu.
- Request two professional or academic letters of recommendation.
- Submit a Personal Statement reflecting on your goals for the program.
- Submit your Professional Resume.
There are options to assist in financing your education and making the tuition affordable. Visit our Student Financial Services page for a detailed overview of the process, including a link to complete the FAFSA application, as well as more information about tuition, the tuition payment plan and the tuition deferment program we offer. Alvernia’s Title IV code for the FAFSA is 003233. The Office of Student Financial Services is available to help with any questions you may have. Call 610-796-8201 or email sfs@alvernia.edu.
Alvernia is an accredited institution and a member of the Middle States Commission on Higher Education (MSCHE). MSCHE is an institutional accrediting agency recognized by the U.S. Secretary of Education and the Council for Higher Education Accreditation.
Success Stories
FAQs
You probably have questions about Alvernia's online Master of Science in Data Analytics. Here are the answers to common ones.
Contact Us
For more information about Alvernia’s Master of Science in Data Analytics, contact the Graduate Admissions Office at 610-796-5187 or gradandadult@alvernia.edu. Or reach out directly to Michael Durant at michael.durant@alvernia.edu.