B.Com. (Banking and Insurance) Data Driven Decision Making in Banking and Insurance Syllabus - Mumbai University 2026
This is the SY BBI syllabus under NEP 2020, in force from the academic year 2025-26. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.
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Syllabus for Data-Driven Decision Making in Banking and Insurance
Module I: Fundamentals of Quantitative Methods
- Unit 1: Basics of Quantitative Techniques: Role of Quantitative Methods in Banking and Insurance, Types of Data: Primary & Secondary Data, Cross-Sectional & Time Series Data, Data Collection, Classification, and Presentation (Tables, Graphs, and Charts), Measures of Central Tendency: Mean, Median, Mode
- Unit 2: Measures of Dispersion and Correlation: Range, Variance, Standard Deviation, and Coefficient of Variation, Skewness and Kurtosis, Correlation Analysis: Types and Interpretation (Pearson’s & Spearman’s), Applications of Correlation in Financial Analysis
Module II: Probability and Statistical Distributions
- Unit 3: Probability Concepts and Theorems: Introduction to Probability: Concepts and Rules, Types of Probability Distributions: Discrete & Continuous, Conditional Probability and Bayes’ Theorem, Applications of Probability in Risk Assessment and Insurance
- Unit 4: Statistical Distributions in Finance and Insurance: Binomial, Poisson, and Normal Distributions, Central Limit Theorem and Its Implications, Use of Probability Distributions in Credit Risk and Insurance Claims, Monte Carlo Simulation in Banking and Insurance
Module III: Inferential Statistics and Hypothesis Testing
- Unit 5: Sampling Methods and Estimation: Types of Sampling: Random, Stratified, and Systematic Sampling, Sampling Distributions and Standard Error, Point and Interval Estimation, Confidence Intervals and Their Applications in Finance
- Unit 6: Hypothesis Testing and Decision Making: Null and Alternative Hypothesis, Type I and Type II Errors,
Module IV: Regression, Forecasting, and Time Series Analysis
- Unit 7: Regression Analysis and Financial Modelling: Simple and Multiple Linear Regression, Regression Assumptions and Interpretation of Results, Application of Regression in Credit Scoring and Risk Analysis
- Unit 8: Time Series Analysis and Forecasting: Introduction to Time Series Components (Trend, Seasonality, Cyclic, and Irregular), Moving Averages and Exponential Smoothing, Application of Time Series Analysis in Stock Markets and Interest Rate Forecasting
Reference Books
- 1 Statistical Methods - S.G. Gupta (S. Chand & Co.)
- 2 Statistics - Theory, Method & Applications D.S.Sancheti & V. K. Kapoor.
- 3 Business Mathematics & Statistics : B Aggarwal, Ane Book Pvt. Limited
- 4 Business Mathematics : A P Verma, Asian Books Pvt. :Limited.
- 5 Fundamentals of Applied Statistics: S G Gupta and V K Kapoor, Sultan Chand & Co
Reproduced from the University of Mumbai syllabus for B.Com. (Banking & Insurance) under NEP 2020, in force from the academic year 2025-26. 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.