Programme Type:

Course Overview

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 the final semester capstone experience, DATA-793 Practicum, working directly with faculty and other researchers' ongoing projects.

 

Entry Requirement 

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. 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.

Degree Requirements:

  • 30 credit hours of approved graduate coursework
  • Capstone Experience: DATA-793 Data Science Practicum (3)  

Fees

Graduate Credit Rate:

Per credit hour   $1631*


This information was accurate on : 30/11/2020
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