国际学生入学条件
At least a secondclass honours degree 2.2 or equivalent in geography computer science or a cognate discipline In some instances we will consider professional experience in place of a degree
Some experience of geographic information systems is desirable but is not a requirement
Applications are reviewed on their individual merits and your professional qualifications andor relevant work experience will be taken into consideration positively We actively support and encourage applications from mature learners
If English is not your first language or you have not previously studied in English the requirement for this course is the equivalent of an International English Language Testing System IELTS Academic Test score of 6.5 with not less than 6.0 in each of the subtests
TOEFL IBT - Standard requirement - 79 (reading - 18, writing - 23, listening - 19, speaking - 19)
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:160
- 其他语言考试:Pearson Test of English (Academic) (We do not accept PTE Academic Online) - Standard requirement - 62 with 60 in each sub-test
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课程简介
Birkbeck's geographic data science postgraduate course will provide you with advanced scientific and technical training in capturing, analysing and visualising geospatial information. Thanks to increasing computing power and wealth of digital data, we can record and store an unprecedented amount of information about the world. Geographic information plays a crucial role in our society, contributing to planning, analysis and management in sectors as diverse as transportation, insurance, banking, telecommunications, logistics, energy, retail, agriculture, healthcare, urban planning and scientific research.<br><br>On this course, you will learn how to analyse and extract insights from geospatial data, uncovering the underlying patterns and factors that can help address the big challenges we face in the twenty-first century. You will work with real-world data on a number of domains and problems, such as simulating the dynamics of change in the natural and built environment, identifying suitable locations for renewable energy power plants, predicting crime hot-spots, and producing effective maps to visualise natural- and human-geography applications.<br><br>Start Date: October 2024 Duration: One year
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