Javascript is currently not supported, or is disabled by this browser. Please enable Javascript for full functionality.

   
    Nov 27, 2024  
American University Catalog 2023-2024 
    
American University Catalog 2023-2024 [ARCHIVED CATALOG]

Data Science (MS)


Offered jointly by the Department of Government , School of Public Affairs  and the Department of Mathematics and Statistics , College of Arts and Sciences , the Data Science (MS) is designed for individuals augmenting or beginning studies in data science. The program prepares students for data analytic positions in academia, government, and industry that require extensive knowledge of statistical and computational tools applied to political, social, and institutional problems. Having trained in the collection, organization, analysis, interpretation, and presentation of data, graduates can process, understand, and explore a wide class of human-generated information to solve complex problems and produce new knowledge.

Admission to the Program


Open to students with a bachelor’s degree from an accredited institution. Formal admission to the program requires a cumulative grade point average of 3.00 (on a 4.00 scale) and departmental approval. Prior to enrollment in the program, applicants must have completed one of the following: STAT-202 Basic Statistics (4)  or STAT-203 Basic Statistics with Calculus (4)  or STAT-204 Introduction to Business Statistics (4) . This may be waived for qualified persons with comparable prior education or experience. Students are required to complete a mathematical boot camp prior to starting the program.

Degree Requirements


Course Requirements


Analysis/Statistics (3 credit hours)


Complete 3 credit hours from the following:

Note: Students in the online program are required to complete GOVT-650 Political Analysis (3) .

Methods (3 credit hours)


Complete 3 credit hours from the following:

Note: Students in the online program are required to complete STAT-614 Statistical Methods (3) .

Track (9 credit hours)


Complete 9 credit hours from one of the following tracks:

Business Analytics


Business Analytics (Online)


Computer Science


Finance


International Economic Relations


Investigative Journalism


Microeconomic Analysis


Capstone (3 credit hours)