The Bachelor of Commerce in Financial Analytics at CHRIST (Deemed to be University), Lavasa Campus, is a four-year undergraduate degree offering Honours and Honours with Research options, in compliance with the National Education Policy 2020. Offered in collaboration with NSE Academy, the programme bridges academia and the financial industry by integrating the rigour of financial analytics with market data analytics. The curriculum builds a robust foundation in accounting and finance while enabling students to assess complex business situations and extract meaningful insights from data.
A defining highlight of this programme is the strategic partnership with NSE Academy, ensuring students are career-ready through four pillars:
Coursework developed with NSE Academy to focus on Algorithmic Trading, Risk Management, and FinTech.
A structured learning pathway that allows students to earn NSE Academy Certifications alongside their degree.
Hands-on training using NSE Interactive Simulation and advanced analytics tools.
Direct guidance from industry practitioners and financial market professionals.
At the heart of the educational philosophy is an experiential learning model ensuring students acquire practical skills vital for success in financial analytics. This commitment is exemplified through two vibrant student-run centres:
Offers a unique opportunity to apply knowledge in real-world scenarios by providing financial solutions and consultancy services to students and faculty on campus.
Promotes financial awareness through engaging content, contributing to a financially literate society.
CENFIL YouTube ChannelEmployers seek professionals who can navigate financial data, analyse market trends, and make strategic decisions. To ensure graduates are highly competitive, the programme emphasises:
Students learn to convey complex financial information through compelling visual representations.
A strong emphasis on Applied Finance and Analytics tools widely used across the financial industry.
Mastery in R for statistical computing — an essential skill for the modern finance professional.
Python for modelling, machine learning, and automation across financial analytics workflows.
This programme offers a transformative educational journey combining academic rigour with global standards and interdisciplinary electives. Students graduate armed with the knowledge, skills, and industry connections to embrace the future of finance with confidence.
