Business Analytics students available to help your business
School of Management
Could your organisation benefit from a delve into your data?
The UCL School of Management is looking for partners to work with our MSc Business Analytics students who can bring invaluable insights to a question through their dissertation projects.
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.
“The project has once again shown me that analytics is indeed a mix of art and science, and if we use both, virtually anything can be translated into an analytical problem and the solution can provide so much value, and lead to insights we wouldn’t even think about when planning the project.”
—Kamila Jasinska, MSc Business Analytics Student working with Sense Worldwide.
There is no cost to businesses to host a student
3 months of support for your business
100+ Students ready to make an impact
Our students’ skills and backgrounds
UCL’s Business Analytics students enter our 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.
To date, over 400 consulting projects have been delivered by our MSc Business Analytics students.
- 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
To provide students with an opportunity to demonstrate their in-depth knowledge and understanding of business analytics and how it can be applied in practice.
To provide students with an opportunity to create a substantial piece of work that highlights their skills and experience, which they can share with potential employers.
Benefits to our partners
- Get insights into questions you may not have time or resource to investigate
- Gain from fresh ideas
- Develop your team’s mentoring or coaching skills
- Take advantage of the specialist knowledge and skillset our students bring
- Obtain an objective point of view to help steer business decisions
- Validate ideas through research and analysis
- Uncover methodology for future data analysis
- Test a range of models or approaches
September to January
We talk with partners and scope projects.
Interview students who have applied to work on your project.
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.
What difference can the projects make?
“As a business, we had the pleasure of working with an excellent student, who had a very clear idea of her goals. She delivered on the project, leaving us with a well-articulated and carefully designed piece of work that we could integrate into our own product.”
“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.”
“We gained insights that will be used to improve our services and - hopefully - help us to generate additional income.”
“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.”
“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.”
“The project provided a fresh and specialist pair of eyes that our business otherwise would not be able to justify bringing in!”