Where can I open BBI syllabus files for Mumbai University?

Use this BBI syllabus page to open FYBBI, SYBBI, TYBBI and the fourth year, then a semester, then a subject to read its modules in full.

Which BBI syllabus files are listed?

Every semester of the degree under NEP 2020, Semester I to Semester VIII, cut into one page per subject, plus the University circulars they were cut from.

What should I do after checking the BBI syllabus?

Use the verified BBI question paper path for practice after confirming the subjects, units, and semester scope.

Are BBI syllabus files free to access?

Yes. The available BBI syllabus files on munotes are free to open.

B.Com. (Banking and Insurance) AI Driven Transformation in Banking and Insurance Syllabus - Mumbai University 2026

This is the Fourth Year BBI Honours with Research syllabus under NEP 2020, in force from the academic year 2026-27. The fourth year is new in 2026-27, and the University runs it as two separate courses: Honours, and Honours with Research.

Loading syllabus...

Syllabus for AI-Driven Transformation in Banking and Insurance

Major · Semester 8 · Fourth Year BBI Honours with Research · 4 credits · 100 marks

Module I: Foundations of AI in BFSI

Unit 1: Introduction to AI, ML and Data Strategy
AI, ML and DL Concepts – Understanding artificial intelligence, machine learning, and deep learning; distinction from traditional analytics.
Evolution of AI in BFSI – Adoption trends in banking and insurance; role in digital transformation.
Data Strategy in Financial Services – Handling structured financial data such as transactions and customer records.
Unstructured Data Processing – Use of OCR and NLP in processing insurance documents, KYC forms, and claims data.
Unit 2: Regulatory Environment and Ethical AI
Regulatory Framework – Role of RBI, SEBI, and IRDAI in governing AI adoption in financial services.
Explainable AI (XAI) – Need for transparency, interpretability, and accountability in AI systems.
Algorithmic Bias and Fairness – Identification and mitigation of bias in financial decision-making models.
Data Privacy and Compliance – Legal and ethical considerations in handling sensitive customer data.

Module II: AI in Banking and Lending

Unit 3: Digital Lending and Credit Analytics
AI in Credit Scoring – Use of machine learning models for evaluating borrower risk.
Alternative Data Utilization – Behavioral data, transaction patterns, and digital footprints in credit assessment.
Automated Loan Processing – AI-driven underwriting and decision-making systems.
Risk-Based Pricing Models – Dynamic interest rate determination using predictive analytics.
Unit 4: Fraud Detection and Customer Experience
Fraud Detection Systems – Anomaly detection and behavioral biometrics for fraud prevention.
RegTech and AML Compliance – AI-driven surveillance systems for anti-money laundering.
AI in Customer Interaction – Chatbots, virtual assistants, and automated service delivery.
Personalization in Banking – AI-enabled product recommendations and customer engagement strategies.

Module III: AI in Insurance and InsurTech

Unit 5: Underwriting and Risk Profiling
AI in Risk Assessment – Predictive models for evaluating insurance risk.
Dynamic Pricing Models – Usage-based insurance and personalized premium calculation.
Customer Segmentation – Data-driven profiling for targeted insurance products.
Automation in Underwriting – Reducing manual intervention through AI tools.
Unit 6: Claims Management and Predictive Analytics
Automated Claims Processing – Use of AI for faster and efficient claims settlement.
Computer Vision Applications – Image-based damage assessment in motor and property insurance.
Predictive Analytics in Insurance – Forecasting policy lapse and claim probability.
Customer Retention Models – AI-driven strategies to improve policyholder retention.

Module IV: Emerging Trends

Unit 7: Advanced AI Technologies in Finance
Generative AI Applications – Use of large language models (LLMs) for report generation and document summarization.
Synthetic Data Generation – Enhancing model training while ensuring data privacy.
Agentic AI Systems – Autonomous decision-making workflows in financial operations.
Blockchain Integration – Enhancing security, transparency, and trust in financial transactions.
Unit 8: Contemporary Developments and Conceptual Applications
Conceptual Framework of AI Applications – Theoretical understanding of AI use cases in banking and insurance sectors.
AI in Credit and Risk Assessment (Conceptual View) – Principles and models used in credit scoring and decision-making.
AI in Claims and Process Automation (Theoretical Perspective) – Conceptual study of automation in claims processing and operational workflows.
Critical Evaluation of AI Systems – Analytical discussion on effectiveness, limitations, ethical concerns, and future scope of AI in BFSI.

Reference Books

1 Dr. S. B. Verma – Artificial Intelligence in Finance
2 C. Bhattacharjee – Banking Strategy, Credit Appraisal and Lending Decisions
3 M.Y. Khan – Indian Financial System
4 Dr. Pradeep K. Sinha – Artificial Intelligence: Concepts and Applications
5 IIBF – Digital Banking and Financial Services

Reproduced from the University of Mumbai syllabus for B.Com. (Banking & Insurance) under NEP 2020, in force from the academic year 2026-27. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF BCom (Banking & Insurance) Honours Sem VII & VIII (2026-27) NEP NEP 2020 syllabus, in force from 2026-27 Read full PDF Read

PDF BCom (Banking & Insurance) Honours with Research Sem VII & VIII (2026-27) NEP NEP 2020 syllabus, in force from 2026-27 Read full PDF Read

PDF BCOM (BBI) SEM I & II (2024 25) NEP NEP 2020 syllabus, in force from 2024-25 Read full PDF Read

PDF BCom (Banking & Insurance) Sem III & IV (2025-26) NEP NEP 2020 syllabus, in force from 2025-26 Read full PDF Read

PDF BCom (Banking & Insurance) Sem IV Community Engagement Project (2025-26) NEP NEP 2020 syllabus, in force from 2025-26 Read full PDF Read

PDF BCom (Banking & Insurance) Sem V & VI (2026-27) NEP NEP 2020 syllabus, in force from 2026-27 Read full PDF Read

PDF BCom (Banking & Insurance) Sem V & VI Minor (2026-27) NEP NEP 2020 syllabus, in force from 2026-27 Read full PDF Read

PDF BBI V & VI 2018 2019 Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read

PDF BBI III & IV 2017 18 Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read

Report or request