Analytics students available to help your organisation.

Analytics students available to help your organisation.

Does your organisation face a challenging problem? Do you have a set of data but aren’t sure how best to use it? Perhaps you’re looking to innovate and apply leading edge technologies into your everyday processes?

The UCL Analytics Partnership is providing organisations with the opportunity to host master’s students who will apply their business analytics and computational skills to provide actionable insights.

We are looking to work in partnership with a wide range of organisations from corporates through to startups who are operating in the public, private and third sectors.

Fill out the application

Please send completed form to :

Our students’ skills and backgrounds

UCL’s Business Analytics students enter the programme with a range of business experience or build directly upon their undergraduate degrees. They are intellectually curious, self-motivated, and passionate about technology and data.

Core modules in Business Strategy and Predictive Analytics provide a foundation in how companies create value and competitive advantage in complex, innovation-intensive, data-driven environments.

Statistical Foundations and Programming for Business Analytics ensure that students have the necessary statistical and programming skills to be able to make effective use of the latest analytics tools.

Additional core modules in Marketing Analytics and Operations Analytics explore in greater depth how data and analytics can unlock value in these key areas and build the insight and skills required to define and deliver practical, high-impact business analytics projects that improve business performance.

The projects

To date, over 400 consulting projects have been delivered by our MSc Business Analytics students, with methods including : Data engineering, Data visualisation, Deep learning, Machine learning, Natural language processing & Network analysis

Examples include:

  • Improvement of an existing predictive model to help customers discover products using personalised recommendations.
  • Application of Deep Learning for Image Segmentation in Fashion Apparel.
  • An Integrated Approach to the Application of Marketing Analytics in Belongings Management.
  • Developing a range of price elasticity models, providing initial business insights and tools ready to be used to analyse other products and channels.
  • A Social Analysis of a co-innovation network, looking into where and how co-innovation happens to facilitate strategic decision making.
  • Segmentation analysis of a third sector helpline to understand if diverse groups are accessing support in different ways to fine-tune how the organisation interacts with helpline users and ensures their needs are met.


Application open. Complete the project scope form (download HERE) and send it to

Interview students who have applied to work on your project.

Agreements covering the commitments of all parties and intellectual property are signed.

Students undertake the consulting project, making use of the relevant data, to answer your project brief. The project is the basis for the students’ dissertations which will be completed in early August.

What difference can the projects make?

“The project provided a fresh and specialist pair of eyes that our business otherwise would not be able to justify bringing in!”

“We have gained both valuable answers around the processes in which we work and a tool which speeds up our existing practice of data analysis.”

“The student delivered details and insights that we could not have foreseen, and this will now be a core part of how we take the business forward.”

“My staff gained a lot from working with the master’s student, learning the approach taken by a data scientist to a problem, and developing coaching skills for problem-solving issues that arose.”

“We gained insights that will be used to improve our services and – hopefully – help us to generate additional income.”

“The student delivered to us a phenomenal level of insights that we had not considered, enabling us to illustrate to clients how AI will help with predictive analysis.”