University of Hawaii at Manoa

What you'll study

The programme combines core computing foundations with specialised topics in areas such as algorithms and theory, machine learning and artificial intelligence, databases and information retrieval, computer networks and security, software engineering, human–computer interaction, and high-performance computing. Students select advanced electives to build depth in a chosen concentration and complete a substantial culminating experience: a research thesis, a project-report option, or a comprehensive coursework route depending on the chosen plan of study.

• Core subjects: graduate algorithms, operating systems, database systems, and research methods in computing.
• Common advanced modules: machine learning, data mining, natural language processing, advanced database design, distributed systems and cloud computing, cybersecurity and cryptography, mobile and pervasive computing, and software architecture.
• Research and practical work: supervised thesis research for the thesis track; an approved applied project or report for the non-thesis pathway; opportunities to work on faculty-led research, interdisciplinary collaborations and industry-sponsored projects.
• Assessment: a mix of examinations, programming and design assignments, research seminars, project deliverables and thesis defence or final project presentation.

Entry requirements

Applicants are normally expected to hold a recognised bachelor’s degree in computer science, information systems, engineering, mathematics or a closely related discipline. Relevant professional experience can sometimes be considered for candidates from other backgrounds, provided they demonstrate sufficient mathematical and programming preparation.

• Academic record: a good undergraduate GPA; applicants with marginal GPAs may be asked to provide additional evidence of preparation such as relevant coursework or professional experience.
• Prerequisites: prior coursework in programming, data structures and algorithms, discrete mathematics and computer systems is typically required. Applicants lacking specific prerequisites may need to complete bridge courses.
• Supporting materials: statement of purpose, curriculum vitae, academic transcripts and letters of recommendation. Research-track applicants are advised to identify potential faculty supervisors in their statement of purpose.
• English language: for applicants whose first language is not English, an acceptable score on an approved English language test is required or equivalent proof of proficiency.
• Standardised tests: any requirement for tests such as the GRE varies and should be checked with the department; many applicants are assessed primarily on academic record and fit with faculty research interests.

Career prospects

Graduates are prepared for a range of technical and research-oriented careers across industry, government and academia. Typical roles include software engineer, systems architect, data scientist or analyst, machine learning engineer, cybersecurity specialist, database administrator, and IT consultant. The programme’s emphasis on both theory and applied work also positions graduates for doctoral study and research careers, including positions in national laboratories, academic institutions and R&D units.

Given the University of Hawaiʻi’s local and regional connections, graduates may find opportunities with technology firms, startups, public agencies and organisations focused on Pacific-region needs — for example, data-intensive environmental monitoring, geospatial information systems, and ICT for community services — alongside careers in global technology hubs.

Why study at University of Hawaii at Manoa

The University of Hawaiʻi at Mānoa offers the advantages of a well-established Computer and Information Sciences department embedded in a comprehensive research university. Students benefit from close faculty supervision, access to computing and lab facilities, and a collaborative environment that encourages interdisciplinary work across environmental science, oceanography, and other applied fields important to the region.

Located in Honolulu, the campus provides a unique Pacific and Asia–Pacific perspective on computing challenges and opportunities, with connections to local industry, government agencies and research centres. The department’s mix of applied and theoretical research, flexible thesis and project options, and a supportive graduate community make it suitable for students seeking either industry careers or further academic study.