Georgetown University

What you'll study

The programme blends foundational computer science topics with applied coursework and culminating project work. Core areas commonly covered include algorithms and data structures, operating systems and distributed systems, software engineering and software architecture, databases and data management, machine learning and artificial intelligence, and cybersecurity and privacy.

Instruction emphasises practical skill development through laboratory courses, team software projects, and a substantial capstone or practicum. Electives allow specialisation in areas such as cloud and systems engineering, data science and analytics, human-centred computing, natural language processing, or secure software development. Students frequently engage in interdisciplinary modules that connect computing to policy, ethics and public-interest technology given Georgetown's strengths across schools.

Structure

• Core coursework to establish theoretical and practical foundations.
• Elective courses to build depth in chosen applied areas.
• Capstone project, practicum or research-led thesis option to demonstrate applied competence.
• Opportunities for internships, industry collaborations and independent study.

Entry requirements

Applicants are expected to hold a recognised bachelor’s degree. Applicants with an undergraduate degree in computer science, engineering, mathematics or a closely related field are best prepared; those from other backgrounds may be admitted with evidence of sufficient quantitative and programming preparation.

• Transcripts demonstrating academic preparation in calculus, discrete mathematics, and core programming or algorithms.
• A curriculum vitae or resume outlining relevant work or project experience.
• Letters of recommendation (typically two or three) that speak to academic ability or professional potential.
• A personal statement describing objectives, relevant experience and how the programme fits career goals.
• Proof of English language proficiency for applicants whose first language is not English (tests or alternative institutional measures).

Standardised tests such as the GRE may be optional or considered in some cases; applicants should consult the programme for current testing policies. Relevant professional experience, coding portfolios or prior projects can strengthen applications, particularly for those without a traditional CS background.

Career prospects

Graduates pursue technical and applied roles across private, public and non-profit sectors. Common job titles include software engineer, backend or systems developer, data scientist or analyst, machine learning engineer, cybersecurity analyst, and site reliability or cloud engineer. The programme’s applied focus also supports roles that bridge technology and policy or product, such as technical product manager, technology policy analyst and research engineer in public-interest technology organisations.

Graduates benefit from Georgetown’s Washington, D.C. location for access to federal agencies, government contractors, policy organisations and a growing startup scene, enabling internship and employment pathways that combine technical skill with domain knowledge in areas such as health, finance, security and civic technology.

Why study at Georgetown University

Georgetown offers a combination of rigorous computer science education and strong interdisciplinary connections across law, public policy, international affairs and business. The university’s location in Washington, D.C. provides proximity to government agencies, research labs and technology employers, facilitating internships and collaborations that enrich applied learning.

Students benefit from small class sizes, faculty who are active in research and industry projects, and opportunities to work on team-based, real-world problems. The university emphasises ethical and socially responsible computing, preparing graduates to apply technical skills in contexts that affect public policy and societal outcomes.