12 monthsProgramme duration
44,400 GBPTuition Fee/year
25 Jun, 2027Application Deadline
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This specialist MSc will train you to extract insights from large amounts of data to discover patterns and knowledge from spatio-temporal data.
Teaching combines theory with extensive hands-on experience to cover the diverse facets of big data from the principles of spatio-temporal analysis and computation guided by statistical and machine learning techniques, to space time data, parallel computing, system design, social media analysis, text mining, and programming. You’ll apply your skills to real-world scenarios, to create models for social media listening, understand weather patterns, predict earthquakes, and determine global warming trends. You’ll also learn all about the ethical and social angles to big data that are needed in the working world. This bigger picture element will help you understand the context of your work, so you can go out and create and deliver projects that benefit both people and the planet.
On top of learning practical skills from programming languages R and Python and scientific writing, there’s a big emphasis on developing transferable skills. These include communication, project management, and critical thinking which, when coupled with your tech expertise, will make you highly sought after for roles in industries including data science, social media analysis, finance, health, telecoms, and urban planning.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This specialist MSc will train you to extract insights from large amounts of data to discover patterns and knowledge from spatio-temporal data.
Teaching combines theory with extensive hands-on experience to cover the diverse facets of big data from the principles of spatio-temporal analysis and computation guided by statistical and machine learning techniques, to space time data, parallel computing, system design, social media analysis, text mining, and programming. You’ll apply your skills to real-world scenarios, to create models for social media listening, understand weather patterns, predict earthquakes, and determine global warming trends. You’ll also learn all about the ethical and social angles to big data that are needed in the working world. This bigger picture element will help you understand the context of your work, so you can go out and create and deliver projects that benefit both people and the planet.
On top of learning practical skills from programming languages R and Python and scientific writing, there’s a big emphasis on developing transferable skills. These include communication, project management, and critical thinking which, when coupled with your tech expertise, will make you highly sought after for roles in industries including data science, social media analysis, finance, health, telecoms, and urban planning.
Admission Requirements
Tuition fees
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International
Scholarships
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