MSc Geographic Data Science Gis and Data science

Many grand human challenges concern problems of a geographical nature...

How do we ensure global food and water security?

How might we mitigate the human impact of climate change?

What is the most efficient design for energy systems that are resilient within the context of future population dynamics?

How can we eradicate spatial inequities in health and wellbeing?

Our activities are increasingly associated with the generation of large volumes of data.

Geolocated attributes are assembled through a variety of mechanisms

  • transactional data collated by retailers
  • administrative data assembled to help with the efficient running of public services
  • data shadows created from social media use,
  • smart card linked transport networks.

This provides us with a great opportunity!

But also a great challenge. How can we use these data?

MSc in Geographic Data Science

Geographic Data Science is about making sense of how our world works; turning these new forms of data into information that we can use to make intelligent decisions.

This programme aims to develop a high level understanding of quantitative and computational geographical methods.

You will develop skills in GIS software, the R and Python programming languages. In particular, emphasis will be placed on developing skills in the visualisation, modelling and statistical analysis of spatial data using web-based and traditional techniques.

An applied focus provides you with excellent career opportunities and industry links.

Still not convinced?

Well, what about our £11m ESRC Consumer Data Research Centre?

The CDRC work with organisations to open up their data to our trusted researchers so we can provide solutions that drive economic growth and improve our society.

Which provides MSc students with secure lab facilities and access to real world consumer data.

Or... maybe our £23m award winning Central Teaching Laboratory...

Our awesome Population and Spatial Analysis faculty members...

The Population and Spatial Analysis research group within the Department of Geography and Planning are growing, and will additionally expand with three new faculty members in 2016!

And not forgetting...

We

Liverpool...

a vibrant city of culture and heritage

Of red and blue...

And of people who will change the world

Start your own revolution in 2017...

MSc Geographic Data Science

Contact : Dr Dani Arribas-Bel (D.Arribas-Bel@liverpool.ac.uk ; +44 (0)151 794 2837)

Programme Structure

Students take a total of 120 credits of taught modules and a 60 credit dissertation research project. For full time students the taught component can be either 60 credits in each of the two 12-week semesters (60:60) or weighted as a 75:45 split in either semester 1 or 2. Assessment may be continuous or by examinations completed at the end of each semester in January and May.

ENVS418 is a pre-requisite for ENVS462; Part-time students must take ENVS441 and ENVS563 (if required) in year one and ENVS492 in year two. Other modules may be taken in either year provided the total credits per year (excluding ENVS492) do not exceed 75

Entry Requirements

The entry requirements for MSc degrees at the University of Liverpool for overseas and international (OSI) students are a final degree grade equivalent to a UK 2:1 classification, in Geography, an environmental science, management or planning discipline. Previous relevant industry experience is very welcome. The course is taught in English and competency equivalent to IELTS 6.5 (no band lower than 6). Pre-sessional English courses are available at the University of Liverpool.

Created By
Alex Singleton
Appreciate

Credits:

Created with images by Radarsmum67 - "Views from St. John's Beacon of the Liverpool Waterfront." • WikiImages - "earth globe atmosphere" • Feed My Starving Children (FMSC) - "FMSC Staff Trip 2011 - Somali Child" • ninahale - "Cairo Air Pollution with smog - Pyramids1" • PublicDomainImages - "turbines wind farm" • tpsdave - "surgery operation hospital" • KamiPhuc - "Big_Data_Higgs" • Raed Mansour - "Chicago Big Data" • WikiImages - "rocket launch smoke rocket" • kewl - "server room datacenter" • frankieleon - "sad eyes you knew thered come a day" • HerryLawford - "Westfield" • markhillary - "Uniqlo Westfield" • Ben Sutherland - "Welcome to Everton FC"

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