Shaping Commerce Education through AI and Fintech Pedagogies in Bengaluru

Abstract

Commerce education in Bengaluru is evolving amidst the rapid growth of Artificial Intelligence (AI) and Financial Technology (FinTech). This study investigates how interdisciplinary pedagogies can integrate these domains to enhance curriculum relevance and employability. Using the Henry Garrett Ranking Technique with responses from 100 participants, the analysis identified four key areas: current educational gaps, relevance of AI and FinTech, student readiness, and preferred integration models. The results showed that practical exposure, interdisciplinary electives, and coding/analytics training are the most critical gaps in the existing curriculum. In terms of relevance, digital payments, fraud detection, and credit analytics were ranked highest. Student readiness is driven mainly by career benefits, interest to learn, and coding comfort, while internships, capstone projects, and practice labs emerged as the most effective integration strategies. The study concludes that embedding AI and FinTech through experiential and industry-linked pedagogy can shape a Next-Generation Commerce Education model aligned with India’s digital economy.