CUNY(The City University of New York)

What you'll study

The programme combines core astrophysics theory, observational techniques and computational methods. Typical taught modules include stellar structure and evolution, high-energy astrophysics, galactic and extragalactic astronomy, cosmology, radiative processes, and dynamics. Practical components commonly cover astronomical instrumentation, observational practicum (optical, radio or infrared techniques depending on facilities and collaborations), and scientific data analysis using programming and statistical tools.

Students normally complete a mix of coursework and a substantial research project or thesis supervised by faculty. Coursework emphasises advanced mathematical methods for physics, numerical modelling, and software skills (Python, data pipelines, and visualization). Seminars and journal clubs expose students to current literature and introduce specialised topics such as exoplanets, gravitational waves, astrostatistics and machine-learning applications in astronomy.

Entry requirements

• Academic background: A bachelor’s degree in physics, astronomy, astrophysics, or a closely related quantitative discipline. Strong foundation in undergraduate-level classical mechanics, electromagnetism, quantum mechanics and calculus-based mathematics is expected.
• Preparation: Competence in calculus, differential equations, linear algebra and basic programming is usually required. Prior research experience in a laboratory or observational project is advantageous but not always mandatory.
• Application materials: Typical materials include official transcripts, a personal statement outlining research interests, curriculum vitae, and letters of recommendation from academic or professional referees. International applicants will normally need to demonstrate proficiency in English.
• Additional assessment: Some applicants may be invited to discuss their background and research interests with faculty as part of the selection process.

Career prospects

Graduates go on to a variety of paths. Many progress to doctoral research programmes in astronomy, astrophysics or related areas. Others find roles in observatories, national labs, space agencies and research institutes, working on instrumentation, mission support, data reduction and analysis. The strong quantitative and computational training in the programme also prepares graduates for careers in data science, software development, finance, technical consulting, and science communication or education.

Alumni commonly take positions as research assistants, postgraduates, data scientists, instrumentation engineers, and educators, or secure internships with research groups and industry partners in the New York region and beyond.

Why study at CUNY(The City University of New York)

• Research-focused training: CUNY offers access to experienced research faculty across multiple campuses and centres, allowing students to join active projects in observation, theory and instrumentation.
• City and collaborative environment: Located in New York, students benefit from proximity to a broad network of academic institutions, research labs and public outreach organisations, creating opportunities for internships, collaboration and public engagement.
• Facilities and resources: Students can draw on shared research facilities, computational resources and specialised laboratories available through university centres, fostering hands-on experience with instrumentation and data analysis.
• Preparation for next steps: The programme is designed to provide the conceptual depth and technical skills needed for PhD study or for technical careers that require advanced quantitative and programming abilities.