B.Sc. (Data Science) Business Forecasting Practical Syllabus - Mumbai University
This is the TY BSc Data Science syllabus under NEP 2020, in force from the academic year 2026-27. 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 Business Forecasting Practical
Module I: Fundamentals of Forecasting and Time Series (30 hrs)
- 1. Types of forecasting – Qualitative and Quantitative 2. Data collection, classification and presentation 3. Introduction to Excel / Statistical software for forecasting 4. Components of Time Series 5. Moving averages – Simple and Weighted 6. Trend analysis – Linear trend method 7. Seasonal variation – Simple method 8. Practical problems using spreadsheet / software
Module II: Regression and Business Forecasting Applications (30 hrs)
- 1. Concept of correlation 2. Karl Pearson correlation coefficient 3. Linear regression method 4. Forecasting using regression equation 5. Demand forecasting 6. Sales forecasting 7. Index numbers – basics and applications 8. Forecasting using real business data 9. Case study / Practical assignments using software 10 Text Books 1. Gupta S.C. & Kapoor V.K. – Fundamentals of Applied Statistics 2. Anderson, Sweeney & Williams – Statistics for Business and Economics 11 Reference Books 1. Makridakis, S., Wheelwright, S.C., Hyndman, R.J., Forecasting Methods and Applications, 3rd Edition, Wiley, 1998. 2. Statistics for Management, 7th Edition, Pearson Education, 2017. 12 Internal Continuous Assessment: Semester End Examination: 60% 40% 13 Continuous Evaluation through: 30 marks practical exam of 2 hours Practical Assignments / Class Test / duration Software Exercises / Case Study = 20 Marks 14 Format of Question Paper: Duration 2 hours. Certified copy of Journal is compulsory to appear for the practical examination Practical Slip: Q1. From Module 1 13 marks Q2. From Module 2 12marks Q3. Journal and Viva 05 marks
Text Books
- 1 Gupta S.C. & Kapoor V.K. – Fundamentals of Applied Statistics
- 2 Anderson, Sweeney & Williams – Statistics for Business and Economics
- 1 Makridakis, S., Wheelwright, S.C., Hyndman, R.J., Forecasting Methods and Applications, 3rd Edition, Wiley, 1998.
- 2 Statistics for Management, 7th Edition, Pearson Education, 2017.
Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) 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.