UMD’s MS in Astronomy provides foundational training in stellar evolution, cosmology, galactic dynamics, and space plasma physics. Students conduct research using telescopic data, simulations, and theoretical modeling. Close ties to NASA Goddard enhance opportunities in observational astronomy, instrumentation, and data analysis. Graduates are well-prepared for PhD programs and roles in aerospace, education, and data science.
Spectral classification of variable stars using telescope photometry
Simulation of galaxy collisions and dark matter halo evolution
Detection and characterization of exoplanets via transit photometry
Modeling supernova remnants using hydrodynamic simulations
Data pipeline development for next-gen space telescope missions
Analysis of cosmic microwave background radiation anisotropies
Mapping large-scale structure using redshift survey data
Simulation of magnetohydrodynamic behavior in solar flares
Building a virtual sky viewer with historical and real-time datasets
Research on active galactic nuclei and black hole accretion disks
Evaluation of light curves from Kepler and TESS datasets
Infrared observation analysis of stellar birth regions
Machine learning classification of radio galaxy morphologies
Study of planetary formation using N-body simulations
Developing a synthetic star catalog for observational calibration
Analysis of orbital dynamics in multi-planetary systems
Designing instrumentation for UV spectroscopy of comets
Polarimetric study of interstellar dust clouds
Quantifying cosmic ray flux impact on exoplanet habitability
High-resolution modeling of gravitational lensing events
Explore cosmic phenomena through astrophysical modeling, space telescope data, and exoplanetary discovery at UMD’s MS in Astronomy.
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