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FAQs - Design Computation


Srishti offers a lively academic environment where you will be able to interact with practitioners from a variety of fields. Given that Srishti is situated in Bengaluru (formerly Bangalore) which is a scientific and technological hub, you will have access to the knowledge of a global community of technologists, scientist, artists and designers. Srishti has active interactions with other technological and cultural centres around the city, and this leads to a steady stream of visitors to the institute.

Exposure to this variety of ideas, and working in this milieu will ensure that your questions and work has a global relevance.

The presence of the large startup and high-tech industry that is present at Bangalore can make a large difference to your learning. While this results in industry-relevant mentorship at Srishti, it also provides you with opportunities in the form of lectures, exhibitions and conferences that you will be able to attend individually based on your interest.


In recent times, computation has become ubiquitous. Objects are smart and talk to each other, data is available though we may not always know what to do with it and we have tremendous computational power sitting in our bags and pockets. This course looks at meaningfully building and using such resources in a way that works for people. Contexts such as media, education and healthcare are examples that are of interest. You will need to learn and use new technologies, prototyping constantly and iterating to improve on what you have made.

As a Design Computation student, you will be expected to develop ideas and applications that you are interested in. You will attend master classes and be mentored and guided on the technologies you need to learn and the design principles on which the use of those technologies are based. You will be working in trans-disciplinary settings, and learning ideas from your peers who come from different backgrounds and disciplines. Most interactions in Srishti happen in studios where the emphasis is on learning by doing with a few lectures.

While the learning units are listed in the prospectus, you will learn also learn to look at users, their needs, and how technology could intervene in their situations. As an example: you will learn about data visualisation, and the cognitive and technological principles underlying various visualisations. But in a given context, while the most “magical” visualisation may not matter, the fact that your visualisation is accessible to people with older devices may be crucial.