The George Washington University School of Engineering & Applied Science | NYU Tandon School of Engineering

The George Washington University School of Engineering & Applied Science

M.S. in Computer Science, Cybersecurity in Computer Science, Data Analytics, and Computer Engineering

The George Washington University School of Engineering and Applied Science is one of the leading research institutions in the nation. Located in the heart of Washington, DC, GW SEAS is home to more than 90 tenured and tenure-track faculty members, houses 11 research centers and institutes, and over 55 research facilities and laboratories in 30 research fields. 

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GW SEAS offers a breadth of expertise in engineering and computer science fields by offering bachelors, masters and doctoral degree programs along with graduate certificates in six academic departments. GW SEAS attracts a wide range of students, faculty and staff from around the world with a wealth of viewpoints, perspectives and experiences. Understanding and celebrating these differences strengthens our community and allows us to move the world forward.

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Computer Engineering, M.S.

The Master of Science in Computer Engineering prepares students to apply sophisticated computer architecture and integrated circuit design techniques toward modern computing systems using industry-standard design tools. Faculty and students work together to explore solutions for photonic computing; create state-of-the-art advances in high-performance computing; and improve the reliability of cloud computing.

The program offers up-to-date knowledge and skills in the advances of computer systems architecture and networking, as well as the rapidly-growing use of superscalar microprocessors, real-time embedded systems, VLSI and ASIC design modules, digital signal processors and networked computing platforms.


Computer Science, M.S.

The Master of Science in Computer Science helps students acquire advanced programming and coding skills that going beyond basic concepts to cover topics such as artificial intelligence, graphic and user interface and cloud computing.

Taught by faculty from top-tier institutions and within the growing tech industry of the mid-Atlantic region, students can expect a rigorous curriculum that builds on the foundations of computer science while offering course options that address modern technological issues.


Cybersecurity in Computer Science, M.S.

The Master of Science in Cybersecurity in Computer Science is designed to meet the fast-growing need for technical cybersecurity experts in national and international organizations, both in the public and private sectors.

With GW's central location in the nation's capital, students can expect to acquire up-to-date skills in protecting computer systems from cyberattacks, while also learning the policy implications of such techniques.

Students take a combination of core courses focusing on the design and analysis of algorithms, computer architectures and advanced software paradigms. These are combined with courses on security (ex. applied cryptography, computer network defense, etc.) and elective courses chosen based on the student's interests.

This program has given GW the honor of being designated as a National Center of Academic Excellence for Information Assurance by the U.S. Department of Homeland Security and National Security Agency. This recognition uniquely qualifies students for internships, scholarships and job opportunities with the U.S. government in the cybersecurity field.

Data Analytics, M.S.

Administered jointly through the Department of Computer Science and the Department of Engineering Management & Systems Engineering, the Master of Science in Data Analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations.

Through courses led by top faculty members at the School of Engineering & Applied Science and the School of Business, this program is conducted in small cohorts and covers topics in computer science, business analytics and systems engineering while focusing on the foundations of analytics from a technical engineering perspective.