Master of Science in Data Analytics Online

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MS in Data Analytics | Online | Under $10,000

糖心vlog短视频'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.

鈥 Gain advanced proficiency in AI鈥慹nabled predictive analytics and visualization using SAS, applying transferable machine learning skills to support decision making across today鈥檚 data鈥慸riven industries.
鈥 By prioritizing 糖心vlog短视频鈥檚 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.
鈥 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

 

Matt Beatrice

Program Overview

There are three entry points into the program:

鈥 Fall (August)
鈥 Spring (January)
鈥 Summer (May)

Two 7-week courses are completed each semester. Students complete one course at a time.

糖心vlog短视频 SAS badge

SAS Specialized Academic Program

The SAS Specialization in AI鈥慐nhanced Predictive Analytics and Visualization is an embedded specialization within 糖心vlog短视频 University鈥檚 Master鈥檚 in Data Analytics, designed to prepare students for advanced analytics roles in today鈥檚 data鈥慽ntensive environments. Students develop advanced proficiency in AI鈥慹nabled 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 鈥 from modeling and evaluation to visual communication 鈥 ensuring students can translate complex analytical results into meaningful, actionable insights.

What Students Gain

Through this specialization, students will:

  • Apply AI鈥慹nabled 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鈥慸riven decision making

Industry Recognition and Digital Credential

  • Students completing the specialization earn a Credly digital badge recognizing their achievement in AI鈥慐nhanced Predictive Analytics and Visualization using SAS.
  • The badge provides verifiable, shareable evidence of advanced analytics competency and can be displayed on LinkedIn, r茅sum茅s, and professional portfolios to signal readiness for industry鈥慳ligned 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鈥憀evel 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鈥檒l 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. 糖心vlog短视频鈥檚 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.

糖心vlog短视频 is an accredited institution and a member of the (MSCHE). MSCHE is an institutional accrediting agency recognized by the U.S. Secretary of Education and the Council for Higher Education Accreditation.

Success Stories

Matt Beatrice

Flexible learning schedule, tuition reimbursement helps Penske employee expand IT skills

After six years as a systems analyst in Roadside Assistance at Penske Truck Leasing鈥檚 corporate headquarters, Matt Beatrice was 鈥渢apped out,鈥 as he put it.鈥淚 enjoy working with Penske,鈥 he said, adding he joined the company in 2017 as a phone agen...

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Lillian Case

Graduate student pursues sports dream thanks to 糖心vlog短视频's flexible data analytics program

Have a conversation with Lillian Case, a student in 糖心vlog短视频 University鈥檚 new Master of Science in Data Analytics Program, and you鈥檒l quickly realize her passion for sports.It鈥檚 that passion, in part, that brought the 22-year-old to 糖心vlog短视频 after...

  • College of Innovation, Discovery, and Enterprise
  • 2025
糖心vlog短视频 University Master of Science in Data Analytics Program

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Contact Us

For more information about 糖心vlog短视频鈥檚 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.