Introduction to Geographic Data Science drafted
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Program Overview
This is a credit bearing course but can also be taken as
a non-credit bearing course
.
Discover the difference between our credit bearing and non-credit bearing courses
.This Introduction to Geographic Data Science short course introduces you to the newly emerging subject of geographic data science. You will first explore how to digitalise and map events and phenomena that happen in the real world using Geographic Information Systems (GIS) - a computer system for handling spatially referenced data.
You will then identify different types of spatial data and discuss how they can be used in solving a range of problems using geoprocessing methods. Examples range from facility locations (such as finding the best location for an urban/retail facility solving multiple spatial and non-spatial conditions), to environmental issues (such as mapping and estimating damages by pollution and natural disasters). By working on various case studies, you will gain hands-on experience in capturing, editing, mapping, analysing, sharing and presenting spatial data, which are essential skillsets for solving data science problems independently.
The second part of this short course focuses on big data management. You will learn about database management systems and gain knowledge and skills related to classic relational databases, entity-relationship modelling, as well as spatial databases suitable for representing geographical data.
Each lecture will be accompanied by a practical session, designed around specific real-world applications (including but not limited to urban, social, environment, retail, health and diseases) to help acquire practical techniques for data handling and solving geographical problems under a variety of different settings.
This course equips you with geospatial skills that are
in high demand according to the UK government
. We plan to cover the following content:
Introduction to Geographic Data Science is a postgraduate-level short course and is ideal for data analysts who wish to expand their expertise through acquiring knowledge and skills in geospatial science. It will also suit professionals who are considering a postgraduate education in geographic data science and wish to take a taster module to see if it matches their interests/career plans.
Assessment for this course is via practical coursework of up to 1500 words (30%) and 3000 words (70%).
30 credits at level 7