Custom Business Analytics project

If the other projects don't match your needs but you have a business analytics related issue, problem, challenge, or opportunity, we can still potentially help. Our students can work on custom projects that draw on their business analytics academic knowledge.

Potential scope

Your project may focus on: 

  • Data management and governance frameworks 
  • Business process optimisation and decision modelling 
  • Predictive analytics for unique business problems 
  • Machine learning applications for business optimisation 
  • Data visualisation and business intelligence solutions 
  • Programming-based analytics applications 
  • Cross-functional analytics challenges 
  • Industry-specific analytics needs 
  • Advanced statistical modelling and analysis 

We'll assess if your project is compatible with the academic knowledge and capabilities of our students, and our course learning objectives.

Note: Before expressing interest, please ensure you've reviewed the other Business Analytics projects. Custom projects take longer to assess and set up. If one of our other projects could work with minor adjustments, that will be faster and more straightforward. 

Suitability

Ideal for:

  • Organisations with unique analytics challenges 
  • Companies requiring cross-functional analytics solutions 
  • Businesses with industry-specific data science needs 
  • Organisations seeking tailored machine learning applications 

What you will receive

Students offer fresh perspectives informed by current academic knowledge. Projects are completed as part of their learning and provide exploratory insights rather than professional consulting advice. 

Interested in engaging our students?

When you express interest, we will evaluate if your specific project is compatible with the academic knowledge and capabilities of our students and our course learning objectives. 

If your project is accepted, it will go into a queue to be allocated to a student or student team. 

Projects are completed during our academic semesters or quarters, with students spending 8-10 weeks working on the project.