Center for Data Science
Supporting research in the production, analysis, and storage of 21st-century data types.
In today’s data-driven world, organizations of all types are using data to drive strategy, make critical decisions, and solve problems. Data scientists are in great demand—Glassdoor ranks data scientistas one of the top three Best Jobs, and the field is expected to grow more than 35 percent over the next decade.
鶹Ƶ’s MS in Data Science is designed to produce the next generation of leaders in this hot field. In as little as 18 months, in person or online, you’ll gain the analytical expertise and creative problem-solving skills necessary to succeed across multiple industries, academia, and government.
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Our students work with faculty pursuing interdisciplinary research across the sciences, social sciences, and public administration— see our recent Research.
Data scientists in the DC area enjoy high salaries and high concentration of available jobswith 36% projected job growth nationally through 2033 according to the US Bureau of Labor Statistics.
ranks our MS Data Science program #27 in the nation for 2024 and ouronline MS #22; TechGuide ranks the program #22 and the Online MS#11 (top-ranked program in the DC-Metro area).
For our on-campus MS Program, choose one of 10 tracks best suited for your research and career goals:
Coursework culminates in the Data Science Practicum: Students take on real-world research and application projectsproposed by鶹Ƶ campus partnersor by external businesses and organizations.
Our Online MS Programoffers tracks in Business Analytics and Specialized Methods. All students, whether in-person or online, will master the theoretical knowledge and practical skills used by data scientists in academia, industry, and government.
Anchoring the MS program specializations,core courses train students to clean, process, visualize, and archive modern datasets, including text, imagery, and biometric data, apply machine learning algorithms to real data, and use the mathematical and statistical language used by data scientists. All classes prepare students to succeed in their individual tracks and the capstone:DATA-793 Data Science Practicum, where they will get hands-on experience working directly with faculty and other researchers on projects.
The core curriculum includes the following required classes
(* asterisk denotes courses available both online and on campus):
See complete Admission & Course Requirements.
“In 鶹Ƶ’s MS in Data Science Program, I had amazing opportunities that included the Data Science Summer Professional Development Program for District of Columbia Public Schools, and my Data Science practicum project, in which I worked with NASA and the GLOBE Observer Program. Working in these organizations with other young professionals was beneficial for my growth as a data scientist and building my personal network.”
—Elizabeth Marge,
Data Analysis at CTR Management Group, contracted to USState Department
With its median base salary of $103,500 nationally and $126,000 in the DC metro area, Data Scientist is consistently ranked near the top for job satisfaction byand other sources. There were30 million job ads for data scientists in the US alone in 2020 — and these numbers continue rising. The US Bureau of Labor Statistics projects a 35 percent increase in data science jobs from 2022-2032.
of data science positions,more than double any state,and unparalleled access to private and public sector opportunities. 鶹Ƶ's campus is minutes from industry giants such as Deloitte Consulting, Amazon,and Lockheed Martin. Whether through the Data Science Practicumor less formalconnections, our graduates start with a foot in the door, thanks to 鶹Ƶ’s relationships with DC-area institutions and our ever-expanding alumni data science network.
“At 鶹Ƶ, I met great, enthusiastic, and encouraging professors who genuinely cared about my well-being — and students who became some of my closest friends. 鶹Ƶ fosters an environment in which I felt comfortable being myself. It challenged me and prepared me for the world.”
—Alexis Threatt
Global Climate Change Team, US Forest Service
Alexis Threatt grew up in an urban area surrounded by a series of parks filled with trees. It was her first inspiration for the work she now does on the Global Climate Change Team at the US Forest Service International Programs.
Alexis first got her foot in the door at the Forest Service while earning her MS in data science at 鶹Ƶ. For her capstone, she landed a position as a program manager on the US Forest Service’s Africa and Middle East Team, managing its Mozambique and Angola Programs. “Both countries endure massive fires across the country, and I decided to pursue a comparison analysis of wildfires in two high-priority conservation areas called the Niassa Special Reserve in Mozambique and Mavinga National Park in Angola,” she explains.
Alexis is thrilled with her current job. And with her environmental science background and MS in data science, she has lots of choices for her future. She is looking ahead at the possibility of earning a PhD, continuing with her forestry and climate change work, and implementing her data science degree—and perhaps even pursuing a career as a foreign service officer or working at the United Nations in an environmental position.
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