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  • United States
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  • Postgraduate courses
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Course options

  • Qualification

    MSc - Master of Science

  • Location

    UCL (University College London)

  • Study mode

    Full time

  • Start date

    28-SEP-26

  • Duration

    1 Year

Course summary

Architectural Computation at The Bartlett School of Architecture equips students with the skills to create generative and responsive forms, through exposure to real programming environments, including latest AI-based techniques. 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. The programme is primarily intended for graduates and professionals from a range of engineering (civil engineering, computer science, electronics, etc.) and design backgrounds, including architecture, interior, graphic and urban design, who wish to develop computational techniques in architecture and gain the ability to use programming as easily as any other form of communication.

Application deadline

26/06/2026

Tuition fees

Students living in United States
(International fees)

£ 39,200per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

UCL (University College London)

  • University League Table

    13th

  • Campus address

    UCL (University College London), Gower Street, London, Camden, WC1E 6BT, United Kingdom

UCL has over 20,000 students from outside the UK. Many tutors are world-leading academics in their field.
UCL's students come from over 150 countries, providing a truly global perspective.
UCL International Student Support and Wellbeing team provides specialist information and advice to international students.

Subject rankings

  • Subject ranking

    9th out of 55

  • Entry standards

    / Max 214
    178 83%

    7th

  • Graduate prospects

    / Max 100
    82.0 82%

    32nd

    7
  • Student satisfaction

    / Max 4
    3.10 78%

    32nd

    9

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