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Along with your completed application accompanied by $50 non-refundable application fee, you’ll need to provide a few supporting materials. 

• Complete your online application through the Graduate Programs application portal.
• 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. ÂÜÀòÔ­´´â€™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.

Two Year Plan: Master of Science in Data Analytics

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.

Required Core (12 credits)

• DS 615: Practical Data Analysis using R
• DS 620: Databases for Data Analytics
• DS 623: Ethics of Data Analytics
• DS 680: Data Analytics Capstone

Electives (18 credits)

• DS 501: Statistical Methods of Data Analysis
• DS 503: Fundamentals of Data Analytics
• DS 505: Principles of Programming
• DS 507: Essentials of Data Analytics for Business
• DS 510: Data Manipulation
• DS 613: Data Visualization using Tableau

Semester 1

• DS 503: Fundamentals of Data Analytics (3 credits)
• DS 505: Principles of Programming (3 credits)
   

Semester 2

• DS 501: Statistical Methods of Data Analysis (3 credits)
• DS 507: Essentials of Data Analytics for Business (3 credits)
   

Semester 3

• DS 613: Data Visualization using Tableau (3 credits)
• DS 510: Data Manipulation (3 credits)
   

Semester 4

• DS 615: Practical Data Analysis using R (3 credits)
• DS 620: Databases for Data Analytics (3 credits)
   

Semester 5

• DS 623: Ethics of Data Analytics (3 credits)
• DS 680: Data Analytics Capstone (3 credits)

• ÂÜÀòÔ­´´ 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.

ÂÜÀòÔ­´´'s M.S. in Data Analytics is tailored to prepare individuals for these sought-after careers:

• Data Analyst
• Data Scientist
• Business Intelligence Analyst
• Market Research Analyst
• Operations Research Analyst
• Financial Analyst

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. 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.