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Student Number Planning
Accurately forecast student population and income
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Student Number Planning
Accurately forecast student population and income
Contact Us



Higher Education Student number planners face a difficult task in implementing systems of enrolment of their students. Sending out enrolment acceptances can be a worrisome guessing game. If too many are sent out, the university will have to re-organise resources in order to accomodate the excess students. This can be a massive logistical and fiscal ordeal. If too few acceptances are sent out, the university is not maximising its resources and will lose money from the lost tuition fees. Higher Education institutions have procedures put in place surrounding data collection and governance, so a solution has to have the flexibility to be implemented within existing structures and be compatible with existing data sources/formats.

Our Solution

Billigence’s experienced consultants have developed a Higher Education Student Number Planning Solution using our software partner Alteryx. The solution, which is demonstrated in the video to the right, provides Higher Education Institutions with a data-driven model to better predict the amount of students needed to be enrolled in its courses. The self-service model is entirely code free, and is designed to be maintained by business users. It is fully customisable to the needs of your business, with the ability to connect to a multitude of data sources. The workflow can be amended and transformed, giving it the flexibility to adapt to inevitable changes that will occur. Furthermore, processes can be automated and workflows are repeatable. This means that arduous and repetitive data preparation tasks can be avoided and minimised. The solution is also compatible with visualisation tools such as Tableau, to allow for further analysis.

Student Number Planning Solution Overview

Issues at Hand

We understand the complexity involved in student number planning. It involves an enormous amount of variables, including:

How many students do we have / How many are coming back?
Undergraduate courses vary from 1 to 7 years

Students transfer between courses of differing lengths of time

What is meant by ‘students’? There are many different types (part time/full-time/external/overseas…)

How many new students will we get?
Intake targets at student type and course level

What fees will they pay?
By course, student type and by cohort

What will they study when they are here?
Module choices define where money goes – need to apportion funding to appropriate faculties

There can be a combination of over 200,000 module choices broken down by course, student type and stage

The Business Process

Student Number Planning Business Process