B.Com (Hons.) in Financial Analytics and Business Intelligence

It is a 3-year undergraduate programme offered by the Department of Commerce at Graphic Era (Deemed to be University) in collaboration with EY Learning Solutions. The programme combines core commerce subjects with 8 specialised industry modules covering data analytics, Python, AI/ML in finance, predictive analytics, financial modelling, and data visualisation. All designed and delivered by EY Subject Matter Experts.

Unlike a regular B.Com (Hons.), this programme includes 8 specialised EY Learning Solutions modules (45 hours each) covering Business Analytics, Artificial Intelligence, Python Programming, Advanced Excel, Predictive Analytics, AI/ML in Finance, Data Visualisation, and Financial Modelling. Students earn an EY Certificate of Completion, gaining a significant edge in employability and industry readiness.

EY Learning Solutions is the academic collaboration arm of EY (Ernst & Young), one of the world's Big Four professional services organizations. The partnership brings globally benchmarked, practitioner-led industry learning directly to the classroom ensuring that students receive training that is directly aligned with what top employers require.

Yes. Students who successfully complete all 8 EY Learning Solutions modules and pass the associated assessments will receive an EY Certificate of Completion, which carries significant recognition among employers in finance, analytics, consulting, and technology sectors.

No. No prior programming or technical knowledge is required. All skills — including Python programming, Excel, and analytics tools — are built from foundational levels within the programme. Students from Commerce, Science, and Arts streams are equally eligible and will be supported throughout.

Python is the primary programming language taught in this programme, with a specific focus on its applications in commerce and finance, including data manipulation using Pandas, visualisation using Matplotlib, and building predictive models. Advanced Excel, including Power Query and financial modelling functions, is also covered in depth.

Students will gain hands-on proficiency in Python, Pandas, Matplotlib, Advanced Excel, Power Query, Tableau, and Power BI. They will also be exposed to machine learning tools and frameworks, AI applications in finance, and financial modelling software, building an analytics toolkit that is highly valued by employers.

Yes. Two dedicated modules, AI/ML Transforming Finance and Financial Modelling & Valuation using AI, focus on AI and Machine Learning applications in the context of finance and business. Topics include algorithmic trading, credit scoring, portfolio optimisation, fraud detection, Agentic AI, Generative AI for business, and AI-assisted valuation.

Yes. The programme includes mini projects within modules (such as a real-world business data processing project in the Python module), major industry projects in later semesters, EY-curated case studies, business simulations, and an internship as a mandatory component. Students will work on live data and real business scenarios throughout the programme.

Graduates can pursue roles as Business Analyst, Data Analyst, Financial Analyst, Investment Analyst, Risk Analyst, Analytics Consultant, Business Intelligence Analyst, FinTech Analyst, Financial Modelling Analyst, Credit Analyst, Corporate Strategy Associate, and Entrepreneur. Key hiring sectors include BFSI, Big Four firms, fintech companies, IT majors, e-commerce, and analytics firms.

The B.Com (Hons.) in Business Analytics & AI is a 3-year programme of 6 semesters. Under NEP 2020, students may also opt for an extended 4-year B.Com (Hons.) with Research pathway (8 semesters), or exit after Year 1 with a Certificate or after Year 2 with a Diploma.

Yes. The programme is fully aligned with the National Education Policy (NEP) 2020, following Outcome-Based Education (OBE) and the Choice-Based Credit System (CBCS). Students benefit from multiple entry and exit options, interdisciplinary flexibility, and a curriculum designed around real-world competency development.

Yes. The programme's strong commerce and analytics foundation supports pathways to CA, CMA (USA), CPA (USA), ACCA (UK), CFA, FRM, and MBA admissions. The Department of Commerce at Graphic Era also has active MoUs with ISDC (for ACCA), Wiley and MILES (for CMA and CPA), and other professional bodies to support these pathways.

Yes. Module 8 — Financial Modelling & Valuation using AI is a dedicated capstone module covering financial model building, data-driven forecasting, DCF and comparable-based valuation, AI-assisted scenario simulation, cash flow modelling, and automated valuation dashboards. Module 3 (Advanced Excel for Finance Managers) also includes capital budgeting and investment analysis models.

Apply online at https://apply.geu.ac.in. Admission is merit-based on Class XII qualifying examination marks. All students who have passed Class XII from any recognised Indian or equivalent foreign board in any stream (Commerce, Science, or Arts) are eligible. For enquiries, contact admissions@geu.ac.in or call 1800 890 6027 / 1800 270 1280. For scholarship information, visit https://geu.ac.in/admissions/scholarship.

Graphic Era (Deemed to be University) is a NAAC-accredited institution with a strong commerce department, active industry partnerships, and a consistent track record of student placements. The collaboration with EY Learning Solutions adds a globally recognised industry layer to the GEU academic framework — giving students both the academic credential and the industry exposure needed to build a competitive, future-ready career. The Department of Commerce is among the most active in India in terms of industry MoUs, research, and professional certification pathways.