| Atmospheric Science (MSc) - Master of Science in Atmospheric Science | | |
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School | The University of British Columbia - Vancouver - Faculty of Graduate Studies | | |
Location | Vancouver, BC, Canada | | |
School Type | Graduate School | | |
School Size | Full-time Undergraduate: 47,000 Full-time Graduate: 11,368 | | |
Degree | Master | | |
Honours | | | |
Co-op | | | |
Length | | | |
Entry Grade (%)* | 76% | | |
Prerequisites | | | |
Prerequisites Notes | We encourage grad applicants from a wide variety of scientific, math, statistics, and engineering backgrounds. Applicants do not need a Bachelor's degree in meteorology or atmospheric science. For example, current grad students have university degrees in physics, mathematics, physical geography, engineering, chemistry, computer science, and many other fields. Strong physics, math, and computational background is desired.
Applicants for a master's degree program must hold the academic equivalent of a four-year bachelor's degree from UBC including one of the following:
A minimum overall average in the B+ range (76% at UBC) in third- and fourth-year courses.
Academic standing with at least 12 credits of third- or fourth-year courses in the A grade range (80% or higher at UBC) in the field of study.
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Cost | National: | $5,302 | International: | $9,314 |
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Scholarships | | | |
Description | We engage in fundamental research in atmospheric science, both independently and in cooperation with federal and provincial laboratories and other research groups around the world. The emphasis of the research is on studies of processes and developing physical understanding of the atmosphere. The research commonly involves field or laboratory measurement and observation; data analysis and interpretation; and numerical model construction, modification and validation.
Atmospheric scientists use principles of classical physics to study, explain, and predict atmospheric behavior on scales ranging from turbulent eddies through storm clouds to earth’s global circulation. We are motivated by weather-related big societal issues including climate change, air quality, and renewable energy. Important tools include big data (statistics, machine learning, scientific programming), geographic information systems and remote sensing. Our methods include lab experiments, field experiments, numerical weather prediction, and climate simulation. We support our grad students with government grants for pure research, with industry contracts for tailored meteorological applications, and with teaching assistantships. | | |
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