Here are some frequently asked questions about Alvernia University's Bachelor of Science in Data Analytics program.
- How long is the program?
Most students in our MS in Data Analytics earn a degree in under 2 years.
- How many credits is the program?
30 credits total.
- How many entry points are there?
We have three entry points: fall, spring and summer.
- What is the course delivery style?
The master’s in data analytics is 100% online asynchronous. The asynchronous format allows working professionals to learn around their schedule. All lectures and learning activities are designed to be completed by students at their own pace. This allows graduate students in the MSDA program to work, attend family gatherings, and enjoy life without the pressure of needing to attend a physical class.
- Is this program truly 100% asynchronous?
Yes, the program is 100% asynchronous.
- Do you accept transfer credits?
We accept up to 6 transfer credits. The credits must be at the master’s level. Additional information on the transfer policy can be located by contacting a graduate admissions counselor at gradandadult@alvernia.edu.
- What is the career outlook for students graduating with a master's in data analytics?
The future is bright. Alvernia'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.
- What programming languages are taught?
The main programming languages taught in the MS Data Analytics program are Python and R. Additionally, students will gain database experience using SQL.
- Do I need a background in computer science or data science?
No, our program is designed for all students to succeed regardless of prior coding experience. We teach all incoming students the basics of programming at the start of the Data Analytics program to ensure both new coders and experts are familiar with standard concepts.
- Do I need to know how to code prior to starting?
No, our program is designed for all students to succeed regardless of prior coding experience. We teach all incoming students the basics of programming at the start of the data analytics program to ensure both new coders and experts are familiar with standard concepts. If you have a background in coding, the first course serves as a refresher on syntax. Additionally, programmers and coders come with experience in many different languages. Our Data Analytics course sequence is designed to assist everyone from novice to Pythonistas.
