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Urban Informatics MSc

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Urban informatics is the study of how rich behavioural data from cities and their citizens can be collected, analysed, understood, and communicated through computation. We seek to inform improvements that can increase the wellbeing of city residents, whether by government organisations or industries involved in providing services in cities. Our Urban Informatics MSc equips students with the technical, analytical, and communication skills required to conduct effective urban data analysis, with experience of detailed case study topics and the communication of results to effect change.

The course information sheet is a printable version of the information on this web page, which you can download here.


  • Draws from both natural and social science areas to provide a rounded degree that combines the technical and social aspects of urban informatics.
  • Based in the unique Centre for Urban Science and Progress London (CUSP London), with connections to New York University and the University of Warwick.
  • Located in central London, with opportunities to interact with government agencies and for grounded case studies using London as a lab to drive effective learning.
  • Friendly and supportive learning environment, with students from across the globe.
  • Based in the Faculty of Natural and Mathematical Sciences, with links to both Health and Social Science and Public Policy and world-leading teaching and research.

Key information

Application status Open

Duration One year FT, September to September.

Study mode Full-time

Credit value UK 180/ECTS 90

Course leaders

Further details

Course contact for further information

Course contact form Postgraduate admissions

Awarding institution King's College London

Faculty Faculty of Natural & Mathematical Sciences

Department Centre for Urban Science and Progress London (CUSP London)

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Course detail

Description

The first term provides foundation modules in core data science techniques, the theories underlying the study of cities, and ways to communicate analyses so as to affect policy- making. The second term focuses on data analysis for cities, providing insight into both spatial and network analysis as well as providing more depth on data mining techniques.

In term two you will also take a specialised module exploring one aspect of city life, such as air pollution or mental health, in real depth and detail. This provides a testbed for the analysis techniques learnt, enabling students to develop confidence and experience with handling urban data. In the summer term you will also engage in a substantive individual project – connected to our research interests – tackling one of a range of urban informatics topics.

Course format and assessment

Teaching

We use lectures and computer lab sessions to deliver most of the modules on the course. You will also be expected to undertake a significant amount of independent study.

You are expected to spend approximately 10 hours of work per credit for each module you attend in your degree, e.g. 150 hours work for a 15 credit module. These hours cover every aspect of the module: lectures, tutorials, independent study, coursework and preparation for examinations.

Typically, one credit equates to 10 hours of work.

 

Assessment

The assessment for this degree is primarily through written reports, software-based data analyses, and written examinations. You may also be assessed by oral presentation, class tests, projects and data visualisation or infographics. The nature of assessment varies by module.

Structure

Year 1

Courses are divided into modules. You will normally take modules totalling 180 credits

Required Modules

You are required to take:

  • Spatial Data Analysis (15 credits)
  • Computer Programming for Data Scientists (15 credits)
  • Data Mining (15 credits)
  • Statistics for Data Analysis (15 credits)
  • Telling Stories with Data (15 credits)
  • Network Data Analysis (15 credits)
  • Introduction to Urban Analytics (15 credits)
  • Urban Informatics Individual Project (60 Credits)
Optional Modules

In addition, you are also required to take 15 credits from a range of optional modules which may typically include:

  • Air Pollution Science and Health (15 credits)
  • Big Data in Urban Mental Health (15 credits)

King’s College London reviews the modules offered on a regular basis to provide up-to- date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

Entry requirements & how to apply

Urban Informatics
Minimum UK requirements   2:1

An Upper Second Class degree in Computer Science (or related disciplines). An Upper Second in a quantitative subject containing a substantial statistical component will be also be considered, or Geography where this includes a geocomputation component.

A Lower Second class degree, or degree in a different quantitative discipline (e.g. Pure Maths, Physics, Mathematical Economics, Mathematical Psychology) may be permitted if the candidate has subsequent work experience in large-scale data analysis of at least 2 years duration.

Candidates without First or Upper Second Class degree in Mathematical Statistics or Computer Science but having relevant post- graduate experience may be interviewed to assess their level of competency.

International requirements   Visit our admissions webpages to view our International entry requirements.
English Language requirements Band D Visit our admissions webpages to view our English language entry requirements.

 

Application procedure

Applications must be made online using King’s online application portal apply.kcl.ac.uk and a non-refundable application fee of £60 applies.

Your application will be reviewed by an academic tutor and we aim to respond to applications within four weeks, although this may take longer during busy and holiday periods.

Personal statement and supporting information

You will be asked to submit the following documents in order for your application to be considered:

Application checklist
Personal Statement Yes Please submit a one page personal statement with your application, explaining why you wish to apply for this programme and why you feel it matches your interests, academic background, and, if relevant, your career plans. Please include transcripts of subjects taken in the relevant degrees and copies of all certificates and relevant qualifications mentioned in your application.
Previous Academic Study Yes A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained. If you have already completed your degree, copies of your official degree certificate will also be required. Applicants with academic documents issued in a language other than English, will need to submit both the original and official translation of their documents.
References Yes Two references are required with at least one academic. Professional references will be accepted if you have completed your qualifications over five years ago.
Other Optional Applicants may wish to include a CV (Resume) or evidence of professional registration as part of their application

 

Application closing date

We recommend that you submit your application as soon as possible.  Our first application deadline is the 29 March 2019.  Applications will remain open if places are available and programmes will be closed as soon as they are full. 

Help and support

If you don't have a suitable qualification for direct entry to a UK university, or if English isn't your first language, our academic preparation courses can help you get ready for study in the UK.

Preparation courses

Fees and funding

  • Full time Home/EU fees: £9,990 per year (2019/20)
  • Full time overseas fees: £25,500 per year (2019/20)

Students starting their programme in 2019/20 who are eligible to pay EU fees will pay the same rate of tuition fees as UK students. This will apply for the duration of their programme, but may be subject to change by the UK Government for subsequent cohorts from 2020/21.

These tuition fees may be subject to additional increases in subsequent years of study, in line with King’s terms and conditions.

Deposit

When you receive an offer for this course you will be required to pay a non-refundable deposit to secure your place. The deposit will be credited towards your total fee payment.

The UK/EU deposit is £500.

The INTERNATIONAL deposit is £2,000. 

  • If you receive an offer on or before 31st March 2019, payment is due by 27th April 2019.
  • If you receive an offer between 1st April 2019 and 30th June 2019, payment is due within one month of receiving the offer.
  • If you receive an offer between 1st July 2019 and 31st July 2019, payment is due within two weeks of receiving the offer.
  • If you receive an offer on or after 1st August 2019, payment is due within one week of receiving the offer.

If you are a current King’s student in receipt of the King's Living Bursary you are not required to pay a deposit to secure your place on the programme. Please note, this will not change the total fees payable for your chosen programme.

 

Financial help and support

Visit the fees and funding webpages to find out more about bursaries, scholarships, grants, tuition fees, living expenses, student loans and other financial help available at King's.

Career prospects

The MSc in Urban Informatics equips you for future opportunities within business, government, NGOs and the third sector, where expertise in using analytics and data science to solve urban problems is increasingly essential.

Testimonials

Next steps

View our postgraduate guide

Learn more about postgraduate degree programmes at King's. Download or view our guide in PDF format.

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