Aligning Academic Curricula with Job Market Demands: A Data-Driven Analysis

The job market is changing rapidly, creating the need for an interface between industrial standards and an educational framework to allow graduates to be equipped with the basic skills necessary for assuming their roles in their careers. This study is aimed at aligning undergraduate curricula with needs for jobs in demand, related to Fourth Industrial Revolution (4IR) and emerging technologies. Based on the analysis of hiring trends data, such as job titles, required skills, and qualifications, this study emphasizes key electives and courses in Computer Science that may widen employed traits of graduates. Our analysis incorporated data extraction techniques to obtain job-listing information embedded in emails from job hiring platforms, followed by focused scraping of data from hyperlinks. The dataset spans four to six months of communication regarding hiring. Our analysis is based on job-hiring updates; whereas, the data on elective subjects enables further examination of the relationship of industry needs and courses offering. The study examines the extent to which academic courses are preparing students for deep technologies and 4IR demands, which are increasing alarmingly. This study thus establishes the rationale for the incorporation of the very cutting edge technologies like augmented reality, blockchain, quantum computing, AI, and machine learning in the curriculum. It recommends a flexible dynamic curriculum geared towards new market trends to ensure that academic programs do not fall to complacency and can accommodate the changing demands of the global labor market. Researchers would identify divergency issues between the extant school curriculum and the enormous needs for specialized skills in some emerging technologies and set out a host of recommendations for educators, employers, and policymakers in order to work toward better preparing educational programs in meeting the demands of the future workforce. The dataset is available from the conference website or by contacting researchers and formally acknowledging its use.

Authors

Institutions

Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/mpseciceta64837.2025.11118466
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aligning Academic Curricula with Job Market Demands: A Data-Driven Analysis

Sanasam Surendra Singh, Sumit Goswami, Nishtha Singh
1 citations
Online Learning and Analytics
1.69
article

Aligning Academic Curricula with Job Market Demands: A Data-Driven Analysis

Sanasam Surendra Singh, Sumit Goswami, Nishtha Singh
article en
1 citations

Abstract

The job market is changing rapidly, creating the need for an interface between industrial standards and an educational framework to allow graduates to be equipped with the basic skills necessary for assuming their roles in their careers. This study is aimed at aligning undergraduate curricula with needs for jobs in demand, related to Fourth Industrial Revolution (4IR) and emerging technologies. Based on the analysis of hiring trends data, such as job titles, required skills, and qualifications, this study emphasizes key electives and courses in Computer Science that may widen employed traits of graduates. Our analysis incorporated data extraction techniques to obtain job-listing information embedded in emails from job hiring platforms, followed by focused scraping of data from hyperlinks. The dataset spans four to six months of communication regarding hiring. Our analysis is based on job-hiring updates; whereas, the data on elective subjects enables further examination of the relationship of industry needs and courses offering. The study examines the extent to which academic courses are preparing students for deep technologies and 4IR demands, which are increasing alarmingly. This study thus establishes the rationale for the incorporation of the very cutting edge technologies like augmented reality, blockchain, quantum computing, AI, and machine learning in the curriculum. It recommends a flexible dynamic curriculum geared towards new market trends to ensure that academic programs do not fall to complacency and can accommodate the changing demands of the global labor market. Researchers would identify divergency issues between the extant school curriculum and the enormous needs for specialized skills in some emerging technologies and set out a host of recommendations for educators, employers, and policymakers in order to work toward better preparing educational programs in meeting the demands of the future workforce. The dataset is available from the conference website or by contacting researchers and formally acknowledging its use.

Defence Research and Development Organisation (IN), Institute of Management Technology (IN), Shobhit University (IN)
Decent work and economic growth
Openalex Percentile: Top 11%
Online Learning and Analytics
1.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.