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PDF version of Adaptive Architecture and Computation MRes

Contact details

Bartlett Graduate Faculty Clerk

Email: bartlett.pgclerk@ucl.ac.uk

Tel: +44 (0)20 3108 9004/9018

Fees and funding

UK/EU 2013/14:

£9,250 (FT)

Overseas 2013/14:

£19,500 (FT)

Full details of funding opportunities can be found on the UCL Scholarships website

More information

Prospectus Entry

Graduate Studies

Key facts

Research Assessment Rating

75% rated 4* (world-leading) or 3* (internationally excellent)
(What is the RAE?)

The programme information on this page relates to 2013 entry. 2014 content to appear here shortly. 

Adaptive Architecture and Computation MRes

The Adaptive Architecture and Computation MRes offers a self-directed route which concentrates on research skills, for those intending to take a doctoral degree or those looking to take their existing architecture and computating experience to a higher level. The programme can be taken alone or as the first year of the EngD VEIV.

Degree summary

What will I learn?

On completion of the programme, students will be able to use computational techniques in architecture, understand and predict the consequences of their design actions through computational processes, integrate their predictions into the design process, and carry out self-sufficient research into new methods and processes.

Why should I study this degree at UCL?

The UCL Bartlett is the UK's largest multi-disciplinary Faculty of the Built Environment, bringing together dozens of scientific and professional specialisms required to research, understand, design, construct and operate the buildings and urban environments of the future. Located in London, it is at the heart of the world's largest cluster of creative architects and engineering firms and has all the resources of a world city to hand.

The Adaptive Architecture and Computation programme at UCL offers a unique perspective on the application of technology to the built environment. The course team, drawn from the world-leading SPACE research group, comprises both architects and experts in artificial intelligence.

See subject website for more information:

Degree structure

Availability: Full-time 1 year

Students undertake modules to the value of 180 credits. The programme consists of taught modules (30 credits), research skills modules (30 credits) and research projects (120 credits).

Core Modules

  • Computational Analysis
  • Computational Synthesis
  • Research Skills (A)
  • Research Skills (B)
  • Computational Research Project

Options

  • Stand-alone MRes students take:
  • Extended Personal Research Project
  • First-year EngD VEIV students take:
  • Interdisciplinary Group Project
  • Personal Research Project

Dissertation/report

Students complete project reports for the research projects listed above.

Teaching and Learning

The programme is delivered through a combination of lectures, workshops and seminars as well as individual and collaborative projects. Time is dedicated to studio sessions with experienced tutors who have a track record of research into architecture and computation. Assessment is through unseen examination, 3000 word term paper and project reports.

Further details available on subject website:

Entry and application

Entry requirements

The normal minimum qualifications are a second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard. Some basic computing experience is expected.

A second acceptable qualification is a degree of lower than second-class Honours standard, or an equivalent overseas qualification, in a subject appropriate to the programme, plus extensive background and experience in the field. The latter implies considerable experience as a professional at a senior level.

For applicants without a first degree or full professional membership, but with relevant and substantial work experience in the field, a special qualifying examination may be set. Details of this route can be obtained from the Bartlett's Graduate Faculty Office.

For overseas equivalencies see the relevant country page.

How to apply

You may choose to apply online or download application materials; for details visit www.ucl.ac.uk/gradapps

The deadline for modular/flexible programmes is 6 September 2013. If you require a Tier 4 visa in order to study in the UK, then you are not eligible to apply or be made a offer of a place on a programme as a part-time (modular flexible) student. Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

Who can apply?

The programme is primarily intended for graduates and professionals with either intermediate or advanced programming skills who would like to specialise in research into parametric design, emergent architecture or interactive systems.

What are we looking for?

When we assess your application we would like to learn:

  • why you want to study Adaptive Architecture and Computation at graduate level
  • why you want to study Adaptive Architecture and Computation at UCL
  • what particularly attracts you to the chosen programme
  • how your academic and professional background meets the demands of this challenging programme
  • where you would like to go professionally with your degree
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

Career

After completing the course, many graduates go on to join leading architectural and engineering practices, either directly with design teams or with specialist modelling groups. In the past three years, graduates have joined Foster and Partners, Zaha Hadid Architects, KPF Associates, Aedas, Arup and Mott MacDonald. Alumni have also joined (or founded) cutting edge emerging digital design practices such as United Visual Artists or Moving Brands, and moved into academic research.

Find out more about London graduates' careers by visiting the Careers Group (University of London) website:


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