Georgia Institute of Technology

What you'll study

The PhD emphasises independent, original research framed by a foundation of advanced coursework. Early stages of the programme typically include core courses in research methods, statistics, and computing, alongside elective modules matched to a student’s research focus. Typical subject areas and topics include:

• Human–Computer Interaction (HCI) — user-centred design, evaluation methods, usability, accessibility and interaction technologies.
• Data Science and Machine Learning — statistical learning, data mining, scalable data systems, and applied ML for information problems.
• Information Retrieval and Recommender Systems — search algorithms, ranking, personalization and evaluation metrics.
• Social and Computational Social Science — social network analysis, computational methods for social data, online communities and social media analytics.
• Information Policy, Ethics and Privacy — legal and ethical aspects of information technologies, privacy-preserving methods and governance.
• Systems and Databases — large-scale information systems, data engineering and storage/query optimisation.

Programme structure commonly comprises required core coursework in the first year, qualifying examinations or a preliminary evaluation, a research plan proposal, dissertation research under a faculty advisor, and a public defence of the dissertation. Students also participate in seminars, Brown-bag talks and lab meetings, and are expected to publish in peer-reviewed conferences and journals.

Entry requirements

Successful applicants normally hold a bachelor’s degree in computer science, information science, engineering, mathematics, statistics, cognitive science or a closely related field; many applicants also hold a relevant master’s degree. Key components of a competitive application include:

• Academic transcript showing strong preparation in computing, quantitative methods and related coursework.
• Research experience demonstrated by a statement of purpose describing research interests, prior projects and fit with faculty, and by any publications or technical reports.
• Letters of recommendation (typically three) from academic or professional referees who can attest to research potential.
• Curriculum vitae detailing relevant projects, internships, publications and technical skills.
• English language proficiency evidence for applicants whose first language is not English, in line with institutional requirements.

The programme evaluates applicants holistically: strong quantitative skills, programming ability, and clear alignment with faculty research interests are critical. Standardised test requirements vary and applicants should consult the department for current policy.

Career prospects

Graduates of the PhD in Information Science pursue academic careers as professors and researchers, or research scientist roles in industry labs. Common career trajectories include:

• Faculty positions in information science, computer science, HCI and related departments.
• Research scientist or research engineer roles at technology companies and corporate research labs focused on search, recommendation, data science, privacy and HCI.
• Senior data scientist, machine learning engineer or analytics leadership positions in industry and government.
• Research positions in non-profit organisations, think tanks and policy institutes working on information policy, privacy and digital society.
• Founding or technical leadership roles in startups that commercialise novel information and interaction technologies.

Students typically build a portfolio of peer-reviewed publications, conference presentations and collaborative projects that support both academic placement and industry research roles.

Why study at Georgia Institute of Technology

Georgia Tech offers access to a large, interdisciplinary computing community and research centres that complement information science topics, including institutes focused on HCI, data science and computational social science. The programme benefits from faculty who publish in top-tier conferences and journals and who collaborate across departments such as computer science, public policy and cognitive science.

Located in a major technology hub, students can engage with industry labs, startups and governmental partners in Atlanta and beyond. The institute provides robust research infrastructure, opportunities for funded research and teaching assistantships, organised seminar series and close mentoring to support the transition from doctoral study to independent researcher or industry research leader.