University of Hawaii at Manoa

What you'll study

The programme combines advanced coursework with supervised research. Core topics cover quantum mechanics at the graduate level, advanced statistical and mathematical methods for physics, and specialised coursework in nuclear and particle physics, including nuclear structure, nuclear reactions, particle phenomenology and experimental methods.

• Core graduate courses: graduate quantum mechanics, classical and statistical mechanics, and mathematical physics.
• Specialist courses: nuclear structure and reactions, particle physics/field theory introductions, detector physics, and data analysis techniques used in high-energy and nuclear experiments.
• Laboratory and computational training: experimental techniques (detector design, electronics, radiation measurements), Monte Carlo simulation, and high-performance computing methods for data analysis and modelling.
• Research thesis: an original research project carried out under the supervision of a faculty member in the Department of Physics and Astronomy, typically resulting in a written thesis and often leading to conference presentations or journal publications.

Students tailor the balance of coursework and research to their goals; those preparing for PhD study typically undertake a heavier research component, while others may choose additional technical electives.

Entry requirements

Applicants are expected to hold a bachelor’s degree in physics or a closely related quantitative discipline with strong preparation in undergraduate physics (classical mechanics, electromagnetism, quantum mechanics, and statistical mechanics) and mathematics (calculus, differential equations, linear algebra). Typical application materials include:

• Official transcripts from all post-secondary institutions attended.
• A statement of purpose describing academic background, research interests, and career objectives.
• Letters of recommendation from academic or professional referees who can attest to the applicant’s preparation for graduate-level study and research potential.
• Where applicable, proof of English language proficiency (e.g. IELTS or TOEFL) for international applicants.

Applicants whose preparation is incomplete may be admitted conditionally and asked to complete prerequisite coursework. GRE requirements vary; check the department’s admissions guidance for current testing policies.

Career prospects

Graduates from this programme typically follow careers in research and development, academia, national laboratories and industry. Common pathways include:

• Progression to PhD programmes in physics, nuclear science or related fields.
• Research positions at national laboratories, accelerator facilities and international collaborations in particle and nuclear physics.
• Technical roles in instrumentation, detector development, electronics and applied measurement systems.
• Data-intensive roles in industry, including data science, software engineering and applied modelling, where expertise in analysis and simulation is valued.
• Positions in medical physics, radiation protection and energy sectors where knowledge of nuclear processes and instrumentation is applicable.

Why study at University of Hawaii at Manoa

The University of Hawaii at Manoa offers a compact, research-active Department of Physics and Astronomy with faculty engaged in experimental and theoretical nuclear and particle physics. Students benefit from close supervision, access to modern laboratory and computational resources, and opportunities to join collaborative research projects.

Located on Oahu, the campus provides a stimulating environment for graduate study, with strong interdisciplinary links across departments involved in instrumentation, computing and physical sciences. The department’s connections to national and international research collaborations give students exposure to large-scale experiments and the ability to gain experience that supports careers in academia, national labs and industry.

The programme emphasises hands-on training in experimental techniques, data analysis and modelling, preparing graduates for both continued research and a wide range of technical careers.