A professor teaching a classroom of 6 students

Graduate

Between navigating the intricacies of data mining, machine learning, statistics and computer science in the classroom and learning from one-on-one from industry experts, CCAS data science graduate students build a well-rounded skill set. Our graduates are in high demand in the fast-growing data science field and they pursue careers as data scientists, data analysts, data engineers and solutions architects in fields from advertising technology to federal consulting to sports medicine. The program offers a 30-credit master of science, a 12-credit graduate certificate and three combined program options for students looking to combine data science with a related discipline.  Courses options include machine learning, deep learning, data visualization, data warehousing, cloud computing and natural language processing.

Graduates of the STEM-designated master of science degree in data science gain a foundation in Artificial Intelligence and programming. Students learn state-of-the-art methodologies and tools and learn how to apply data science techniques to solve full-cycle real-world problems, communicate their findings, and effectively present results using data visualization.

 

 


 

Graduate Virtual Open House

 

 

Graduate Virtual Open House: October 18–28

Registration is open for the Columbian College of Arts and Sciences (CCAS) Graduate Virtual Open House! The online event includes program-specific information sessions and opportunities to engage with current graduate students, faculty and our admissions team.

The Data Science Program is hosting an information session for prospective graduate students on Wednesday, October 20 at 10 a.m. EDT. 

 


Graduate Programs

 


"Upon my graduation, I received an offer from my current employer, Discovery. All the knowledge and technical skills that I learned in the Data Science Program enabled me to pick up new tasks quickly because I was well trained in analytical and data architect mindsets."

Mengjiao Xue

MS ’17


More Data Science Information

 

Application Requirements

All applicants must have completed courses at the undergraduate level in multivariable calculus and statistics. There is no formal requirement for a specific programming language; however, candidates are encouraged to demonstrate their comfort with programming and software in their application. Applicants who may lack specific requirements are encouraged to contact the program at [email protected] so we can provide individual advice on alternative ways to meet the requirements. See individual degree pages for details.

 

Advising

All graduate students in the Data Science Program work with an assigned advisor to choose electives, create a plan of study and navigate questions related to prerequisites and course registration. Professors and advisors also work to connect students with opportunities that can open doors to internships and full-time positions.