Supervisor

Taufique Ahmed

Programme

HDIP in Data Analytics for Business

Subject

Computer Science

Abstract

Higher Education Institutions (HEIs) face the challenge of developing programmes that respond to changing labour market needs while providing graduates with relevant employment opportunities and ensuring institutional financial viability. Rapid technological and economic changes make it increasingly important for HEIs to use reliable data to identify emerging skills and workforce demands. This project explores the use of machine learning and nationally collected employment data to support evidence-based decision-making in higher education programme development. By analysing patterns and relationships within labour market data, machine learning models can help identify areas of growing demand and provide insights into the potential alignment between academic programmes and future employment opportunities. The approach aims to support HEIs in responding more effectively to national strategic priorities while considering programme sustainability and graduate employability. The project therefore demonstrates how data-driven analysis could complement traditional market research and support the development and adjustment of higher education programmes in response to evolving societal and economic needs.

Date of Award

2026

Full Publication Date

2026

Access Rights

open access

Document Type

Capstone Project

Resource Type

thesis

Download

Included in

Data Science Commons

Share

COinS