Combined Bachelor of Science and Master of Science in the Field of Data Science
Data science, and the associated areas referred to as big data and data analytics, is a rapidly emerging technology field fueled by the dramatic growth in the amount of data being produced in most areas of society. Pursuing a bachelor of science degree from an approved CCAS department and a master of science in data science degree allows students to study fundamental ideas that underlie the process of using data for problem solving and to apply the knowledge they gain to real-world scenarios. This is accomplished through elective coursework and partnerships with organizations in a variety of market areas, including health sciences, geography, cybersecurity, and public policy, to name a few.
Students in the combined BS/MS degree program must complete requirements for both degrees. By taking a specified number of graduate credits as part of their undergraduate degree, students may decrease the number of credits normally required for the master's degree, allowing them to complete the MS in a shorter period of time and at a lower cost.
Contact the data science program for more details.
|Students pursuing the dual degree in an approved GW bachelor of science degree in the Columbian College of Arts and Sciences and the MS in data science must complete all requirements for both degrees.|
|Undergraduate students may include up to 7.5 credits of graduate courses from the following:|
|DATS 6101||Introduction to Data Science|
|DATS 6102||Data Warehousing|
|DATS 6103||Introduction to Data Mining|
|One elective graduate course approved by a Data Science advisor.|
|BS/MS students must complete all remaining courses for the graduate program to achieve the 30 credits required for the degree.|