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The interdisciplinary MSc in Data Science (Geospatial)
trains students in Data Science with an emphasis on using the unique
characteristics of spatial data (location, distance and spatial interactions)
to understand where, when and why things happen. Using a wide range of data
types and sources, you will learn how to leverage geospatial data using
specialised methods and software (including, but not limited to: R, Python,
ArcGIS and machine learning) to better understand the place-based contexts of
social, economic and environmental phenomena.
The uptake, use, and commercialisation of geospatial data
increasingly requires expertise in Data Science so you will be trained in a
broad range of data science techniques. These skills are not limited to a
career focused on geospatial data. They address the shortage of qualified data
scientists in the UK and abroad; on graduation will be in a strong position for
a career in a range of data science sectors.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The interdisciplinary MSc in Data Science (Geospatial)
trains students in Data Science with an emphasis on using the unique
characteristics of spatial data (location, distance and spatial interactions)
to understand where, when and why things happen. Using a wide range of data
types and sources, you will learn how to leverage geospatial data using
specialised methods and software (including, but not limited to: R, Python,
ArcGIS and machine learning) to better understand the place-based contexts of
social, economic and environmental phenomena.
The uptake, use, and commercialisation of geospatial data
increasingly requires expertise in Data Science so you will be trained in a
broad range of data science techniques. These skills are not limited to a
career focused on geospatial data. They address the shortage of qualified data
scientists in the UK and abroad; on graduation will be in a strong position for
a career in a range of data science sectors.
Admission Requirements
90+
6.5+
61+
120+
12 Months
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Data Science (Geospatial) MSc, PGDip
The University of Leicester, Leicester, United Kingdom
12 monthsProgramme duration
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The interdisciplinary MSc in Data Science (Geospatial) trains students in Data Science with an emphasis on using the unique characteristics of spatial data (location, distance and spatial interactions) to understand where, when and why things happen. Using a wide range of data types and sources, you will learn how to leverage geospatial data using specialised methods and software (including, but not limited to: R, Python, ArcGIS and machine learning) to better understand the place-based contexts of social, economic and environmental phenomena.
The uptake, use, and commercialisation of geospatial data increasingly requires expertise in Data Science so you will be trained in a broad range of data science techniques. These skills are not limited to a career focused on geospatial data. They address the shortage of qualified data scientists in the UK and abroad; on graduation will be in a strong position for a career in a range of data science sectors.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The interdisciplinary MSc in Data Science (Geospatial) trains students in Data Science with an emphasis on using the unique characteristics of spatial data (location, distance and spatial interactions) to understand where, when and why things happen. Using a wide range of data types and sources, you will learn how to leverage geospatial data using specialised methods and software (including, but not limited to: R, Python, ArcGIS and machine learning) to better understand the place-based contexts of social, economic and environmental phenomena.
The uptake, use, and commercialisation of geospatial data increasingly requires expertise in Data Science so you will be trained in a broad range of data science techniques. These skills are not limited to a career focused on geospatial data. They address the shortage of qualified data scientists in the UK and abroad; on graduation will be in a strong position for a career in a range of data science sectors.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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