. "Data Science, Data Analysis, Data Mining"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Representing and manipulating data"@en . . "20" . "Knowing how to write scripts is essential to everyone who would work with data. This module introduces you to the use of the programming language Python for manipulating data." . . "Presential"@en . "TRUE" . . "Master in Environmental Remote Sensing Geospatial Sciences"@en . . "https://www.stir.ac.uk/courses/pg-taught/environmental-remote-sensing-geospatial-sciences/#panel_modules_002" . "160"^^ . "Presential"@en . "This course provides a thorough scientific grounding in remote sensing \nand professional training in geospatial technology and programming, with\n a unique focus on environmental applications and space exploration. The MSc Environmental Remote Sensing and Geospatial Sciences aims to prepare graduates for a successful career in:\n\n environmental, heritage and resource management (e.g. agriculture, fisheries, energy, insurances, waste crime) sectors\n the fast-growing downstream space and technology-driven industries, including government regulators, local authorities, universities and space agencies\n\nWe aim to provide an in-depth, critical and balanced understanding of the theoretical foundations of remote sensing alongside current and emerging environmental and other applications.\n\nThis course will develop transferable professional and academic skills and will combine interdisciplinary scientific knowledge in environmental sciences with practical and cutting edge observation technology."@en . . . "1"@en . "FALSE" . . "Master"@en . "Thesis" . "10350.00" . "British Pound"@en . "21845.00" . "None" . "This MSc course includes work-related assessments and guest speakers from \npublic, private and third sector. Collectively, these will help you to \nset your career expectations and provide you with knowledge and skills \nwhich are highly relevant to recruitment needs.\nThe modules also integrate career readiness skills through the use \ncase studies from different sector perspectives. This gives you the \nopportunity to familiarise with real-life solutions to common challenges\n in Earth observation and space exploration."@en . "1"^^ . "FALSE" . "Downstream"@en . . . . . . . . . .