Georgia Institute of Technology

What you'll study

This master's-level programme blends foundational computer science topics with applied information sciences to give you both theoretical depth and practical skills. Core subject areas typically include algorithms and theory, machine learning and artificial intelligence, data management and databases, computer systems and networking, software engineering, and human–computer interaction. Students choose from a broad range of elective modules to specialise in areas such as data analytics, cybersecurity, natural language processing, computer vision, cloud and distributed systems, or information design.

Programme structure commonly offers coursework-only and research/report options. Coursework routes focus on a sequence of graduate-level classes and project-based modules, while research routes pair students with faculty supervisors for a thesis or major project. Many students also take seminar courses, capstone projects or practicum modules that incorporate real-world industry or lab-based problems. Independent study and directed-research modules are available for those pursuing specialised topics.

Typical modules and topics

• Advanced Algorithms and Complexity
• Machine Learning and Statistical Methods
• Big Data Systems and Databases
• Distributed Systems, Cloud Computing and Networking
• Human–Computer Interaction and UX Research
• Software Engineering and Large-scale System Design
• Information Security and Privacy
• Data Visualisation and Exploratory Data Analysis

Entry requirements

Applicants are expected to hold a bachelor's degree from an accredited institution, typically in computer science, information systems, engineering, mathematics or a closely related field. Strong preparation in programming, discrete mathematics, linear algebra and probability/statistics is normally required. Admissions assess prior academic performance, the relevance and rigour of undergraduate coursework, and evidence of technical ability.

Required application materials generally include official transcripts, a personal statement describing academic and professional goals, letters of recommendation from academic or professional referees, and a CV or résumé. International applicants must demonstrate English language proficiency through recognised tests unless exempt. Some applicants may be invited to interview or asked to provide sample work or a portfolio for specialised tracks. Standardised tests such as the GRE may be considered according to current College of Computing policies; applicants should consult the programme admissions pages for up-to-date guidance.

Career prospects

Graduates from this programme move into a wide range of technical and leadership roles. Common job titles include software engineer, data scientist or machine learning engineer, systems architect, research scientist, UX researcher, security analyst and technical product manager. The curriculum prepares students to work in sectors such as technology and software, finance and analytics, healthcare technology, telecommunications, government and defence, and consulting.

Alumni also pursue further research through doctoral study or take roles in startups and entrepreneurship. The programme’s emphasis on both theoretical foundations and applied projects helps graduates transition into positions that require designing scalable systems, deploying machine learning models in production, and translating complex data into actionable insights.

Why study at Georgia Institute of Technology

Georgia Tech’s College of Computing is known for its strong research environment, breadth of specialisms and close ties to industry. Students benefit from access to world-class research labs and centres working on robotics, analytics, cybersecurity, human-centred computing and more, providing opportunities for collaborative projects and faculty-supervised research. The institute’s location in a major metropolitan technology hub offers extensive internship and employment connections with established companies and startups.

Additional strengths include experienced faculty with active research programmes, multidisciplinary collaboration across engineering and business schools, and career services that support recruitment and professional development. For those seeking remote study options, Georgia Tech also provides well-established online master's offerings that demonstrate the institute’s capacity to deliver high-quality computing education in multiple formats.