Ready or not, we are living in a data-driven world. Every sector in our global economy is using data to make better management and policy decisions. In fact, Data Scientist has ranked the number one job in America for the last three consecutive years, with a median base salary of $120,931. And by 2020, it is predicted that there will be a 28% increase in data science jobs.
Data scientist have leadership roles in business, e-commerce, energy, entertainment, manufacturing, media, science, security, telecommunications, and politics. In government, data scientists inform policy decisions. In public health, data scientists detect disease outbreaks. In finance, big data is analyzed to determine risk and make economic projections. Environmental scientists use data science to understand the impact of human activity on the planet. And in business, data scientists help improve efficiency and increase sales.
Across public, private, and nonprofit sectors, big data is making a big difference. Those with the right skills will lead this change. American University's MS in Data Science offers students these skills through a diverse set of courses in a flexible, innovative learning space that takes full advantage of the Washington, DC, location.
Program tracks for this degree include:
- Applied Public Affairs
- Business Analytics
- Computer Science
- Environmental Science
- Microeconomic Analysis
This degree program is jointly administered by the AU School of Public Affairs and College of Arts and Sciences. During coursework, you'll learn statistical methods and programming, regression, statistical machine learning, and political analysis. If you're interested in this program, please email firstname.lastname@example.org.
American University’s MS in Data Science prepares students to acquire, process, analyze, and present complex data. Students will master both the theoretical knowledge and practical skills used by data scientists in academia, industry, and government. Core courses such as Statistical Machine Learning, Data Science, and Statistical Programming in R will 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 of data scientists. Each student will choose an applied field in which they will analyze data and explain the associated issues in that field, culminating in their capstone experience in their final semester.
Knowledgeable Faculty Dedicated to Your Success
Courses are taught by the same knowledgeable, innovative, and widely published professors who teach our master of arts, master of science, and undergraduate courses. You will learn the theories of data science and practical skills from respected experts in the field: Data Science Faculty.
Work, study, and make a difference in the nation's capital
Consistently ranked as one of the best cities for job seekers, Washington, DC, offers data scientists unparalleled access to private– and public–sector opportunities. AU's campus is minutes from industry giants such as Deloitte Consulting, Amazon, Booz Allen Hamilton, National Institutes of Health, BNY Mellon, Cambridge Associates, Lockheed Martin, and the Peace Corps. Our graduates start with a foot in the door, thanks to the university's institutional relationships with government agencies, locally-based companies, and nonprofit organizations.
Respected Positions in a Growing Field
Data scientists use their skills to find critical patterns and link them to business goals. They provide employers with such valuable insights. As a result, demand for data scientists is growing in nearly every sector. Data scientists are highly sought after and well paid. In this program, you will develop the skills to visualize and analyze data in any field. There are limitless applications for the skills you will gain from an MS in Data Science.
The program is open to all students with a bachelor's degree from an accredited institution that have a cumulative grade point average of at least a 3.00 (on a 4.00 scale). Students without sufficient mathematical background as determined by the program directors may be required to complete a mathematical boot camp prior to starting the program.
You can find information about application deadlines here.