State University of New York

What you'll study

The programme combines core physics and mathematics with specialised astronomy and astrophysics modules, observational laboratory work and an undergraduate research or capstone project. Study emphasises quantitative problem solving, instrument-based observing, computational modelling and data analysis.

• Core physics and maths: classical mechanics, electromagnetism, quantum mechanics, statistical mechanics, multivariable calculus and differential equations.
• Fundamental astronomy & astrophysics: introductory and intermediate astronomy, stellar structure and evolution, galactic and extragalactic astronomy, cosmology and high-energy astrophysics.
• Observational methods & instrumentation: optical and radio astronomy techniques, spectroscopy, CCD photometry, telescope operations and error analysis.
• Computational and data skills: scientific programming (commonly Python or MATLAB), numerical methods, data reduction pipelines and statistical inference for large datasets.
• Laboratory and field work: hands-on lab courses, use of campus observatories or remote telescope facilities, and planning and executing observing runs.
• Research experience: an independent senior thesis or capstone project supervised by faculty, often linked to faculty research groups or external observatories and national laboratories.
• Electives and breadth: opportunities to take related courses in planetary science, atmospheric physics, instrumentation engineering, or applied mathematics, plus general education requirements.

Entry requirements

Applicants should hold a recognised secondary-school qualification. Successful candidates usually demonstrate strong achievement in mathematics and physics, and coursework or experience in calculus and introductory physics is highly recommended.

• Academic background: solid preparation in algebra, trigonometry, calculus and physics. Prior coursework in chemistry or computing is advantageous but not always mandatory.
• Skills and experience: enthusiasm for problem solving, laboratory work and computer programming. Participation in science clubs, research projects or observatory experience strengthens an application.
• Transfers and mature applicants: the programme accepts transfer students; previously earned college credits in mathematics, physics or astronomy will be evaluated for advanced standing.
• Application materials: typical supporting documents include transcripts, a personal statement outlining interest in astronomy/astrophysics, and academic references. Standardised tests may be considered according to campus policy.

Career prospects

Graduates of the programme are well prepared for a range of careers that value strong quantitative, computational and observational skills. Many pursue postgraduate study in astronomy, astrophysics or related fields; others move directly into technical and analytical roles.

• Academic and research paths: MSc/PhD study and research roles at universities, observatories and national laboratories.
• Data and technology: data scientist, software developer, instrument scientist, and roles in satellite and aerospace industries.
• Government and applied science: positions in space agencies, national laboratories, environmental monitoring and defence-related research.
• Education and communication: secondary-school teaching, science outreach, museums and planetariums, and science journalism.
• Industry transferability: strong analytical and programming skills also suit finance, analytics, and technology sectors.

Why study at State University of New York

The SUNY system offers a range of campuses with astronomy and astrophysics teaching and research, providing flexible pathways depending on your interests—from undergraduate-focused campuses with small-class teaching to research-intensive institutions with active faculty-led projects. Students benefit from state-supported resources, access to campus observatories and collaborations with regional facilities and national laboratories.

• Research opportunities: opportunities to join faculty research groups, undertake senior theses, and access regional observatories or remote-sensing facilities.
• Collaborations and internships: connections with nearby research centres and industry partners enable internships and practical experience in instrumentation and data analysis.
• Teaching and support: emphasis on undergraduate mentoring, with many campuses offering small-group instruction, lab supervision and academic advising.
• Skills-focused training: strong emphasis on computational literacy and observational technique prepares graduates for both advanced study and technical careers.