University of Maryland Global Campus logo

Master of Science in Data Analytics

University of Maryland Global Campus logo

Master of Science in Data Analytics

University of Maryland Global Campus

Study at an accredited university

Earn your degree from University of Maryland Global Campus.

$694 per credit

For in-state and out-of-state students. $480 per credit for military students.

Finish in 24 months

Designed for working professionals looking to gain the skills and knowledge that today’s employers need.

100% online

Access course materials, complete hands-on projects, and connect with instructors and peers anytime and from anywhere.

Earn a Well-Respected Data Analytics Master’s Degree

Master data and AI methodologies, data manipulation, and predictive model construction and learn how to make strategic data and AI-driven recommendations to shape business results. The Master of Science in data analytics program offered by University of Maryland Global Campus is meticulously designed to assist students in cultivating expertise in emerging domains such as AI, data mining, and data management. Gain hands-on expertise with programming languages such as SQL and Python, along with proficiency in software applications like Tableau and SAS.

Note: All program information is accurate for students starting in fall 2023 and winter, spring, and summer 2024.

What’s in this degree program?

Address Business Challenges
Analyze a business issue or opportunity and propose a sound approach to address the situation using data.
Use Data to Solve Problems
Identify and implement appropriate techniques using descriptive, predictive, and prescriptive analytics.
Build and Deploy a Model
Select a modeling approach, build and validate the model, and deploy the model for prediction and analysis.
Apply Learnings Across Industries
Leverage analytics and AI advancements in sectors such as healthcare, marketing, insurance, cybersecurity, and scientific research.
Use Current & Emerging Technologies
Apply modern technology for stream analytics, text processing, natural language processing, AI, and cognitive applications.
Your learning experience will be hosted by University of Maryland Global Campus outside of Coursera.

Application Deadlines

Applications are now open.

Upcoming Application Deadlines

  • Fall 1 2024: August 13, 2024
  • Fall 2 2024: September 17, 2024

Learn more about this program

Request more info and start your application


Study at an accredited university

Earn your degree from University of Maryland Global Campus.

$694 per credit

For in-state and out-of-state students. $480 per credit for military students.

Finish in 24 months

Designed for working professionals looking to gain the skills and knowledge that today’s employers need.

100% online

Access course materials, complete hands-on projects, and connect with instructors and peers anytime and from anywhere.

Study at an accredited university

Earn your degree from University of Maryland Global Campus.

$694 per credit

For in-state and out-of-state students. $480 per credit for military students.

Earn a Well-Respected Data Analytics Master’s Degree

Master data and AI methodologies, data manipulation, and predictive model construction and learn how to make strategic data and AI-driven recommendations to shape business results. The Master of Science in data analytics program offered by University of Maryland Global Campus is meticulously designed to assist students in cultivating expertise in emerging domains such as AI, data mining, and data management. Gain hands-on expertise with programming languages such as SQL and Python, along with proficiency in software applications like Tableau and SAS.

Note: All program information is accurate for students starting in fall 2023 and winter, spring, and summer 2024.

What’s in this degree program?

Address Business Challenges
Analyze a business issue or opportunity and propose a sound approach to address the situation using data.
Use Data to Solve Problems
Identify and implement appropriate techniques using descriptive, predictive, and prescriptive analytics.
Build and Deploy a Model
Select a modeling approach, build and validate the model, and deploy the model for prediction and analysis.
Apply Learnings Across Industries
Leverage analytics and AI advancements in sectors such as healthcare, marketing, insurance, cybersecurity, and scientific research.
Use Current & Emerging Technologies
Apply modern technology for stream analytics, text processing, natural language processing, AI, and cognitive applications.
Your learning experience will be hosted by University of Maryland Global Campus outside of Coursera.

Application Deadlines

Applications are now open.

Upcoming Application Deadlines

  • Fall 1 2024: August 13, 2024
  • Fall 2 2024: September 17, 2024
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Gain real-world experience through an innovative curriculum

Complete coursework designed to develop the skills and real-world experience that today’s hiring managers are looking for. Gain valuable experience in solution development and data analytics and complete hands-on projects designed to simulate the needs of real organizations through data-driven decision-making.

Learn more

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Payment plans and financial aid available

  • $694 per credit for in-state and out-of-state students $480 per credit for military students.
  • Interest-free monthly payment plan Make your education expenses affordable with an interest-free monthly payment plan at UMGC.
  • Federal financial aid Be sure to submit the FAFSA using UMGC’s school code (011644) to see if you are eligible for Federal financial aid.
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Earn your MS in data analytics in as few as 24 months

UMGC’s state-of-the-art program is designed with input from leading employers and can help you gain the hands-on experience, skills, and knowledge that today’s employers need. Many UMGC faculty members are active or former professionals in industry, government, and non-profit organizations and bring their knowledge, experience, and expertise to the classroom.

Plus, with convenient online courses and no-cost electronic resources in place of most textbooks, you can access the full student experience from any time and any place!

Learn more

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Start your application today

Submit your application by August 13, 2024.

Frequently asked questions

Big data is used to describe a vast quantity of data that is so large it becomes too difficult to manage using traditional technologies. It is commonly defined using the three Vs: Volume - The vast amount of data available, which leads to storage and management issues; Velocity - How fast data is being produced and aggregated and how fast the data must be processed to meet demand; and Variety - The number of types and sources of data, which can be structured and unstructured and can come from virtually anywhere. Data analytics make it possible to extract a fourth V: Value.

Just as the volume of 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 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 data in virtually every sector has created a talent gap for data analysts.

A master's in data analytics is a graduate degree program that teaches students how to extract insights and knowledge from data using statistical and analytical techniques. UMGC's Master of Science in data analytics program covers subjects like data mining, programming, statistical analysis, and visualization. Students gain knowledge of how to manipulate, examine, and interpret large datasets using programs like Python, SQL, and R. The program's objective is to prepare students for careers in data-driven fields like finance, healthcare, and technology, where they can put their knowledge to use in making decisions about the real world and business. Due to the widespread use of data analytics, students can apply their knowledge to a variety of industries.

A graduate degree in data analytics can help you gain the practical skills and hands-on experience you need for a variety of careers including data science, statistics, artificial intelligence, machine learning, and data engineering.

Start your application today

Submit your application by August 13, 2024.