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.

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.

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.

Methods have included:

• Data engineering
• Data visualisation
• Deep learning
• Machine learning
• Natural language processing
• Network analysis

Timeline

1st September – 31st October

February

Interview students who have applied to work on your project.

April

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

May to August

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.