Course 1: Culture, Art and Society
This course introduces students to a broad range of topics concerning British “Culture, Art and Society” drawing on theories in the humanities and social sciences to deepen their understanding of UK culture in particular and western culture and society in general. This course provides a platform for future interdisciplinary study helping students to understand the complex arguments regarding the nature of modern social life as well as the relations between culture, art and society.

Course 2: Data Science

This course introduces the students to the mathematical foundations of data analysis, as well as to visualising and analysing data with Python. There are three main parts to the course. The first third of the course introduces statistical basis for data analysis, including means and variance of random variables, Bayes’ formula, the central limit theorem, linear regression, confidence intervals and hypothesis testing (z-test and t-test). The second third is about data cleaning and visualisation (Including creating plots of various types), with many examples in Python. The final third introduces the basics of machine learning in data analysis, covering the k nearest neighbours algorithm, regression using machine learning and principal component analysis, with emphasis both onmathematical understanding and ability to utilise these methods in Python.

Course 3: Business and Management

This course introduces students to relevant concepts to provide an understanding of business environments and the issues affecting contemporary businesses. This course sets the scene and provides a platform for future study as well as helping students to appreciate the interconnected nature of business organisations, the environment in which they operate, and the people involved. It offers undergraduate students and new graduates the opportunity to acquire key skills in business
management and finance.

Course 4: Future Cities and Public Policy

From the increasing urbanisation to the algorithmic disruption and the surveillance capitalism phenomena, it is important to understand how the nature of such transformations will help to accurately formulate policies in a wide range of cities and regions worldwide. This course will encourage students to reflect upon theoretical and practical issues related to urban, digital, and political transformations, which are key to developing policy and research skills in fields such as urban science, smart cities, data analytics, big data, Artificial Intelligence (AI), frontier digital technologies (Such as Urban Digital Twins, Augmented Reality, Mixed Reality, and Blockchain) techno-politics of data, data ecosystems, digital social innovation, and ethics. 

Students will be introduced to the general overview of sustainable urban development; a number of analytical tools widely used in public policy analysis, including industrial, urban, and regional policy implications; Urban, Political, and Digital Global Transformations; and tools and Methods for these Transformations.


A limited number of scholarships (normally for university students) is available for those participants who can demonstrate a competitive performance during the programme and at their home institution.

Application Process

We mainly work with our partner universities on the application process. To apply, please complete and submit the application form to your home institution, or complete the online application form here.
There are a limited number of places available, so it essential that applicants begin the process as soon as possible.

For more information about the programme, please contact us at