Graduate
MS in Data Analytics | Online | Under $10,000
Alvernia's Master of Science in Data Analytics aims to equip students with the essential skills in critical-thinking and technical proficiency for careers in data analytics. Students will be enabled to address intricate challenges and make data-informed decisions.
• Gain advanced proficiency in AI‑enabled predictive analytics and visualization using SAS, applying transferable machine learning skills to support decision making across today’s data‑driven industries.
• By prioritizing Alvernia’s commitment to community engagement and ethical leadership, our graduates are prepared to utilize data-driven insights responsibly and ethically to create positive impacts within their organizations and society at large.
• As an online student, you'll have access to an array of resources including our online bookstore, online library and Office of Career Development.
- Program Length:
-
2.00 Years
- Course Length:
-
7 Weeks
- Tuition:
-
$315 Per Credit
- Study Format:
-
Online
- Credit Hours:
- 30
Affordable. Flexible. Career-Focused.
SAS Specialization
Alvernia University’s MS in Data Analytics is proud to be recognized as a SAS Specialized Academic Program providing students with hands-on experiential learning utilizing one of the world leaders in AI and Data Analytics software.
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
There are three entry points into the program:
• Fall (August)
• Spring (January)
• Summer (May)
Two 7-week courses are completed each semester. Students complete one course at a time.
SAS Specialized Academic Program
The SAS Specialization in AI‑Enhanced Predictive Analytics and Visualization is an embedded specialization within Alvernia University’s Master’s in Data Analytics, designed to prepare students for advanced analytics roles in today’s data‑intensive environments. Students develop advanced proficiency in AI‑enabled analytics, predictive modeling, and data visualization using SAS tools, applying transferable machine learning skills to generate insights that support effective decision making across modern industries and platforms. This specialization emphasizes the practical application of analytics methods across the full data lifecycle — from modeling and evaluation to visual communication — ensuring students can translate complex analytical results into meaningful, actionable insights.
What Students Gain
Through this specialization, students will:
- Apply AI‑enabled analytics techniques within the SAS environmen
- 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
Industry Recognition and Digital Credential
- Students completing the specialization earn a Credly digital badge recognizing their achievement in AI‑Enhanced Predictive Analytics and Visualization using SAS.
- The badge provides verifiable, shareable evidence of advanced analytics competency and can be displayed on LinkedIn, résumés, and professional portfolios to signal readiness for industry‑aligned analytics roles.
Integrated Within the MS in Data Analytics
- The SAS Specialization complements the broader MS in Data Analytics curriculum, allowing students to pair enterprise‑level SAS analytics expertise with a strong foundation in analytics methodology, data management, and ethical data use.
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
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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.