The Geographical Data Science course offered at the University of Leicester is aimed at applicants with an interest in using statistical and computational skills to analyse geographical data to understand and solve geographical, environmental, and social issues. This course is available to take on both a full-time or part-time basis, offering high flexibility for prospective students.Course Content: This course combines the fields of GIS, remote sensing, and data science. Students will gain an understanding of fundamental geographic and earth system processes, spatial data, geographical modeling, the nature of geographic information, and the application of advanced computational techniques. During the course, students will develop the necessary computational and data science skills to handle big geographical data through programming and the use of advanced software tools, such as Python, while also gaining experience in the quantitative analysis of spatial data and its application in geographical research and policy development.Key Modules: Key modules covered in this course include: Geographical Data Science; Geographic Information Systems (GIS) and Science; Big Data Analysis; Computational Techniques; and Remote Sensing with Advanced Data Analysis. The course also includes a dissertation project where students actively use geographical data science to address a research or policy question.Future Careers: The skills learned in this course have widespread application in areas such as environmental management, public health, transportation planning, and retail location planning. Graduates will be well equipped for careers in areas requiring geographical data science expertise, including environmental consultancies, health authorities, and research agencies.For more information on this course, please visit the official course page.