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 scientist as one of the top three Best Jobs, and the field is expected to grow more than 30 percent over the next decade.
American University’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.
Request Info How to Apply
- Mode of Study
On campus or Online
10 courses / 30 credits
- Time to Complete
18 mos. or your own pace
- Course Scheduling
Afternoons and evenings
$120K Median Salary
Data scientists in the DC area enjoy high salaries and the highest concentration of available jobs in the nation — with 36% projected job growth in the next decade.
Specialize Your Studies
For our on-campus MS Program, choose one of 10 tracks best suited for your research and career goals:
- Applied Public Affairs
- Business Analytics
- Computer Science
- Environmental Science
- International Economic Relations
- Investigative Journalism
- Microeconomic Analysis
- Specialized Methods
Our Online MS Program (accepting applications for Fall 2023) offers 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:
- DATA-612 Statistical Programming in R (3)
- DATA-613 Data Science (3)
- STAT-615 Regression (3)
- STAT-627 Statistical Machine Learning (3)
- Choose one:
GOVT-618 Bayesian Statistics (3)
STAT-618 Bayesian Statistics (3)
GOVT-650 Political Analysis (3)
- Choose one:
GOVT-653 Introduction to Quantitative Methods in Political Science (3)
STAT-614 Statistical Methods (3)
See complete Admission & Course Requirements.
“In AU’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.”
Data Analysis at CTR Management Group, contracted to US State Department
With a median base salary of $120,000, Data Scientist has ranked in the top three best jobs in America for the last seven consecutive years. There were 30 million job ads for data scientists in the US alone in 2020 — and these numbers are rising. The US Bureau of Labor Statistics projects a 36 percent increase in data science jobs over the next nine years — and DC offers the nation's highest concentration of data science positions.
In DC, you'll take advantage of the nation's highest concentration of data science positions and unparalleled access to private and public sector opportunities. AU's campus is minutes from industry giants such as Deloitte Consulting, Amazon, Booz Allen Hamilton, the National Institutes of Health, and Lockheed Martin. Our graduates start with a foot in the door, thanks to AU’s relationships with DC-area institutions and our ever-expanding alumni data science network.
- Booz Allen Hamilton
- Federation of American Scientists
- National Institutes of Health
- National Rural Electric Cooperative Association
- US Census Bureau, US Department of Labor, US General Services Administration, US Senate, and US House of Representatives
“At AU, I met great, enthusiastic, and encouraging professors who genuinely cared about my well-being — and students who became some of my closest friends. AU fosters an environment in which I felt comfortable being myself. It challenged me and prepared me for the world.”
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 AU. 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 conserva tion 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.
What You'll Walk Away With
- A deep understanding of complex data
- Cutting edge technical skills, including Advanced Machine Learning, Natural Language Processing, Neural Networks, Deep Learning, and Business Intelligence
- Analytical problem-solving
- DC connections and opportunities
- The power of American University’s network
- Real-world experience in the Data Science Practicum, where students provide data science expertise and project assistance to faculty, local companies, non-profits, and government organizations
- Communication, ethical leadership, and teamwork skills
Ready to dive in?