. "Data Science, Data Analysis, Data Mining"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Commercial and scientific applications"@en . . "20" . "Data Science is a rapidly emerging discipline at the intersection of computer science, statistics, and application domains. The main goal of data science is to extract knowledge and insight from data, which can then be turned into positive action. \n \n This module introduces the fields of Data Science and Big Data. It covers the fundamental steps of the data science process, as well as some specific techniques and case studies. Guest speakers from industry and academia will appear to discuss their data science applications. \n \n There are no programming labs or hands-on data analysis in this module. This is left to other modules in the programme. The idea is instead to provide a high-level discussion of important principles and study the conceptual steps of the data science process. The module is assessed by a critical essay of a specific data science case study, from a recent journal article, selected by the student from a given preselected set of articles. n successful completion of the module, you should be able to:\n \n have a critical knowledge of the fields of data science and big data, including an understanding of the skills required from a data scientist;\n develop a critical understanding of the key stages of a data science project, and apply this knowledge while critically analysing a real-world data science case study;\n develop a critical awareness of current issues in real-world practical commercial and scientific applications of data science;\n communicate, using writing, oral and visual methods, the development and findings of a real-worlOd successful application of data science." . . "Presential"@en . "FALSE" . . "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 . . . . . . . . . .