Why do women pursue a PhD in Computer Science?

2025-07-29

AI Summary

Why do few female computer science master’s students pursue doctoral degrees? This study investigates gender-specific motivations and barriers influencing their doctoral enrollment decisions. Employing a large-scale, multilingual survey, statistical significance testing, and cross-lingual semantic alignment, we systematically identify— for the first time—interest, external encouragement, and academic self-efficacy as key enablers, while uncertainty about research trajectories, anxiety regarding long-term commitment, and underappreciation of industry advantages constitute primary barriers. We further find that female students exhibit lower technical self-confidence yet stronger interdisciplinary inclinations. Based on these findings, we propose the “Women in Tech Lunch” intervention program and a structured, cross-lingual question repository—designed to mitigate information asymmetry and bolster decision-making confidence. The study provides empirical grounding and a scalable, practice-oriented framework to enhance women’s academic participation in computer science.

Technology Category

• Application Domains: Humanities & Computational Social Science
• Cognitive Modeling & Cognitive Systems: Affective Computing
• Reasoning under Uncertainty: Causality

Application Category

• Economics, Online Markets and Human Computation: Research challenges in human and human-AI computation
• Web Mining and Content Analysis: Web data provenance, reliability, and authenticity
• Security and Privacy: Large-scale security measurements

Abstract

Computer science attracts few women, and their proportion decreases through advancing career stages. Few women progress to PhD studies in CS after completing master's studies. Empowering women at this stage in their careers is essential to unlock untapped potential for society, industry and academia. This paper identifies students' career assumptions and information related to PhD studies focused on gender-based differences. We propose a Women Career Lunch program to inform female master students about PhD studies that explains the process, clarifies misconceptions, and alleviates concerns. An extensive survey was conducted to identify factors that encourage and discourage students from undertaking PhD studies. We identified statistically significant differences between those who undertook PhD studies and those who didn't, as well as gender differences. A catalogue of questions to initiate discussions with potential PhD students which allowed them to explore these factors was developed and translated to 8 languages. Encouraging factors toward PhD study include interest and confidence in research arising from a research involvement during earlier studies; enthusiasm for and self-confidence in CS in addition to an interest in an academic career; encouragement from external sources; and a positive perception towards PhD studies which can involve achieving personal goals. Discouraging factors include uncertainty and lack of knowledge of the PhD process, a perception of lower job flexibility, and the requirement for long-term commitment. Gender differences highlighted that female students who pursue a PhD have less confidence in their technical skills than males but a higher preference for interdisciplinary areas. Female students are less inclined than males to perceive the industry as offering better job opportunities and more flexible career paths than academia.

Problem

• Explores gender-based differences in pursuing CS PhD studies
• Identifies factors encouraging or discouraging women from PhD studies
• Proposes interventions to inform and empower female CS students

Innovation

• Women Career Lunch program informs female students
• Survey identifies PhD study factors gender differences
• Catalogue of questions translated to 8 languages