University of Hawaii at Manoa

What you'll study

The PhD programme combines advanced coursework, research seminars and an independent doctoral dissertation. Early stages typically include core graduate courses to deepen theoretical and practical foundations such as advanced algorithms, operating systems, distributed and parallel computing, databases, programming languages and machine learning. Students then take specialised electives aligned with their research area—examples include high-performance computing, computer and network security, data science and analytics, robotics and computer vision, bioinformatics, software engineering and graphics/visualisation.

Key components of the degree include:

• Coursework: Advanced graduate modules to build depth in theory and systems.
• Qualifying and candidacy requirements: Written and/or oral assessments to demonstrate readiness for dissertation work, followed by admission to candidacy.
• Original research: A sustained, publishable research programme culminating in a written dissertation and public oral defence.
• Teaching and professional development: Opportunities to gain teaching experience as a graduate assistant and to present work in seminars and conferences.

Typical research areas

• Machine learning and data mining
• Distributed systems and cloud/hybrid computing
• High-performance computing and scientific computing
• Computer and network security
• Databases and information retrieval
• Computer vision, robotics and graphics
• Algorithms and theory of computation
• Bioinformatics and computational biology

Entry requirements

Strong applicants normally hold a master's degree in computer science or a closely related discipline. Candidates with an excellent bachelor’s degree and substantial research experience or publications may also be considered. Typical requirements include:

• Academic transcripts demonstrating a solid background in core computer science and mathematics (for example, discrete mathematics, calculus, linear algebra, probability, data structures and algorithms).
• A detailed statement of research interests outlining proposed directions for doctoral study and potential faculty mentors.
• Letters of recommendation from academic or professional referees who can speak to research potential.
• A curriculum vitae listing relevant coursework, projects, publications and work experience.
• Proof of English language proficiency for applicants whose first language is not English (accepted tests and minimum scores vary by institutional policy).

Specific departments may expect applicants to have prior research experience, demonstrated programming and systems skills for systems-oriented areas, or a strong mathematical background for theory and machine learning tracks. Prospective students should consult departmental admissions guidance for details on documentation and any additional requirements.

Career prospects

Graduates of the PhD in Applied Computer Science at the University of Hawaii at Manoa move into a wide range of roles. Common career paths include:

• Academic positions such as postdoctoral researcher, lecturer or tenure-track faculty, conducting and supervising research and teaching courses.
• Research scientist or senior engineer roles in industry labs and R&D organisations working on AI, systems, security, data analytics and specialised software.
• Technical leadership and architecture roles in commercial software, cloud services, telecommunications and startups, applying advanced methods to product development.
• Positions in government and national laboratories focusing on cybersecurity, high-performance computing, environmental modelling and other applied science areas.
• Consulting and entrepreneurial ventures where deep technical expertise is required to develop innovative products or services.

The programme’s emphasis on applied research, publications and collaborations prepares graduates for both research-intensive and applied technical careers.

Why study at University of Hawaii at Manoa

The University of Hawaii at Manoa offers a focused research environment in computer science with faculty expertise spanning theory to systems and interdisciplinary applied areas. As part of a public research university on an island campus, students benefit from close faculty mentoring, opportunities for collaboration across disciplines such as oceanography, geosciences and biology, and access to regional and Pacific‑focused research projects.

UH Manoa provides access to advanced computing resources and encourages collaborative work with government agencies, regional industry partners and other research centres. The department emphasises a balance of theoretical rigour and practical, real‑world applications, making it a strong choice for students who want to pursue impactful research that addresses both local and global challenges.