This program is designed to help prepare you for work in the field of data science and analytics in a public or private-sector organization. Potential career fields include data science, artificial intelligence, machine learning, and data engineering.
You must meet the criteria for graduate admission at UMGC and provide one of the following.
Note: The complete admission file must be reviewed before you can enroll in (6 Credits, DATA 610).
The Computing Club provides a dynamic environment where members can work collaboratively, share innovative ideas, enhance their career-readiness, and gain marketable experience in their respective fields. It is available to graduate or undergraduate students, alumni, faculty, and staff members. Students and alumni can join the Computing Club group on CareerQuest.
This club provides opportunities for students to learn more about the field of marketing, discuss their shared interests, and network with classmates and faculty members.
You must meet the criteria for graduate admission at UMGC and provide one of the following.
Note: The complete admission file must be reviewed before you can enroll in (6 Credits, DATA 610).
The Computing Club provides a dynamic environment where members can work collaboratively, share innovative ideas, enhance their career-readiness, and gain marketable experience in their respective fields. It is available to graduate or undergraduate students, alumni, faculty, and staff members. Students and alumni can join the Computing Club group on CareerQuest.
This club provides opportunities for students to learn more about the field of marketing, discuss their shared interests, and network with classmates and faculty members.
Here are answers to some common questions about the field of data analytics.
Big data is used to describe a vast quantity of data that is so large it becomes too difficult to manage using traditional technologies. Big data is commonly defined using the three Vs:
Data analytics make it possible to extract a fourth V: Value.
Data analytics is the process of transforming vast amounts of raw data into constructive, actionable information. To derive insights from large amounts of data, a data analyst must store, manage, sort, structure, and mine the data using highly sophisticated tools. The analyst can then apply refined data analysis to discover trends and influence business decisions.
Just as the volume of big data keeps growing, so do the sources. From commercial transactions to social media posts, personal data to weather patterns, nearly all data today is being tracked and recorded. It is up to data analysts to uncover the real potential.
Great strides have been made in the gathering, storage, and security of big data, but the real opportunity is in the data analysis. Its application is virtually limitless, and will shape the world we live in, from the way we interact on a personal level to how businesses and governments evolve. The increased use of big data in virtually every sector has created a talent gap for data analysts.
The ever-increasing generation of data has rendered it unmanageable by traditional means, and the diversity of data sources makes finding insights even more complex.
