Interdisciplinary Problems and Methods (Taught)

Problems like climate change, inequality and the ethics of AI can’t be solved by one subject alone. We need an interdisciplinary approach.

At LIS, we teach students how to tackle complex, real-world problems by applying knowledge and skills from various disciplines across the arts and sciences. From coding to videography, machine learning to project management, and data science to public speaking, our curriculum is designed to break down barriers and foster a more integrated approach to problem-solving.

As an LIS student, you’ll be part of the exciting journey of building a new university in Whitechapel, East London. You’ll have the opportunity to play a key role in establishing processes, clubs, societies, events and traditions. For example, ‘LIS Lates’, a career-focused event series, documentary film nights with directors, urban exploration sessions and more!

At LIS, you won’t have to wait until you graduate to make your mark. Throughout your student journey, there will be continuous touchpoints for you to plug into the world of work, through internships, 1:1 careers support and a range of workshops to enhance your employability.

We understand that being a part of a new and radical university can be daunting, but we believe as the world changes and problems evolve, we should evolve too. If your intellectual curiosity doesn’t fit into a box, and you recognise the need for interdisciplinary solutions - join us.

Do something different. Be someone different.

For more information, please visit www.lis.ac.uk

Course Modules

Problem Electives:

During this degree, participants will concentrate on one out of three problem areas: digital worlds, human sociality, and environmental sustainability.

• AI Futures: ethics and aesthetics
• Eco-social Futures: living within planetary boundaries
• Human Futures: culture and complexity

Methods Modules:

Participants can choose four out of five methods: experimental design, statistics and data science, linguistic analysis and optimisation, and analysis and creation of visual media. It is expected that participants will not choose the method they may already have experience with.

• Experimental Methods: How to read and think like a scientist
• Re:Form: Understanding and manipulating visual media
• Cracking the Code: Learning to programme
• The Right Word: Analysing and creating impactful language
• Everything Counts: Probability, statistics, and numerical estimation

Core Modules:

Throughout your studies, you will take modules on complexity and integration. These modules are compulsory for every student.

• Complexity
• Integration

Capstone Project:

The Capstone Project is where students pursue an original area of research on a problem of their choosing. Students will identify a problem and a set of strategies to tackle it, before creating a professional or industry standard product to communicate what they have found.

For more information, please visit www.lis.ac.uk/graduate