Why Study at GW? (Computer & Data Science)
Computer Science & Data Science at GW
Innovating the Next Stage of Computer and Data Technology
Why Study at GW?
Practical & Applicable
To succeed in today’s technology-driven world, our students acquire the most up-to-date skills in programming, big data and software development and apply them toward careers in top tech organizations.
One-on-One Learning
Faculty play an integral role during the student’s time at GW, whether through one-on-one mentoring or through the numerous organizations and projects available for student research input. Students can expect individualized attention and exceptional teaching from experts in the field.
World-Class Facilities
Dedicated computing facilities and support staff allow students to apply their skills in major programming languages, software development, and big data analysis for their courses as well as experiment with special projects.
Interdisciplinary & Collaborative
Want to take a course not offered in your department? At GW, you can enhance your studies by taking relevant courses in other departments and apply them toward your degree.
Companies Who Have Hired GW Alumni
M.S. IN COMPUTER SCIENCE
Offered through the School of Engineering & Applied Science, the master’s program in Computer Science prepares students to become expert programmers and software developers through 30 credit hours of coursework, which covers everything from algorithms and theory to high-performance computing and UNIX system programming.
M.S. IN DATA SCIENCE
The master’s program in Data Science leverages the wide range of courses offered in the Columbian College of Arts and Sciences to provide a multifaceted education in the analysis and application of big data. Upon completion, students are prepared to enter industries dealing with astrophysics, geographic information systems and computational biology.
PART-TIME CERTIFICATE PROGRAMS
Don’t have time to complete a full-time master’s degree? Consider certificate programs in Data Science or Computer Security and Information Assurance, which covers the essential topics of the M.S. degrees with a flexible evening class schedule and reduced time commitment.