When Finance Speaks Python: Mapping Python Integration in Finance Degrees and the University–Industry Skills Gap
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Author: Veliota DrakopoulouAffiliations: Higher Colleges of Technology (UAE); Embry-Riddle Aeronautical University (USA)ORCID: https://orcid.org/0000-0002-1670-8033Correspondence: vdrakopoulou@yahoo.comGitHub: https://github.com/vdrakopoulou GitHub repository: https://github.com/vdrakopoulou/WHEN-FINANCE-SPEAKS-PYTHON_REPLICATION-SCRIPT Replication Package DOI: https://doi.org/10.5281/zenodo.18713524 Overview This replication package accompanies the article "When Finance Speaks Python: Mapping Python Integration in Finance Degrees and the University–Industry Skills Gap." The study examines 140 finance-related university programmes across 19 countries and compares curriculum-level Python integration with computational skill signals extracted from 190 finance and FinTech job advertisements. Using a novel Depth–Scope–Authenticity (DSA) rubric, the project investigates how universities respond to growing employer demand for programming, analytics, machine learning, and algorithmic finance skills. Contents Scored curriculum dataset (140 programmes) Job-advert skill-signal dataset (190 records) Python replication code Tables and figures from the manuscript Rubric documentation and appendices Reproducibility files and SHA-256 checksums Key Finding Python is increasingly visible in finance education, but access to authentic computational learning remains highly uneven, suggesting that higher education may both close and reproduce digital skills gaps in finance. Figure Mean Python Curriculum Index (0–1) United Kingdom ████████████████████████████ 0.58United States ██████████████████████████ 0.53Germany ████████████████████████ 0.48Kenya ███████████████████████ 0.46Brazil ██████████████████████ 0.44Russia ██████████████████████ 0.44Switzerland ██████████████████████ 0.43India ██████████████████████ 0.43South Africa █████████████████████ 0.42Nigeria █████████████████████ 0.42Egypt █████████████████████ 0.42Japan ████████████ 0.25Hong Kong SAR ██████████ 0.20Australia ██████████ 0.20China ███████ 0.14Saudi Arabia ██ 0.05United Arab Emirates ██ 0.04Ghana 0.00Uganda 0.00 Figure: Cross-national variation in documented Python integration across finance programmes. Citation Drakopoulou, V. (2026). When Finance Speaks Python: Mapping Python Integration in Finance Degrees and the University–Industry Skills Gap. Replication Package. Zenodo. https://doi.org/10.5281/zenodo.18713524
