B.Sc. (Data Science) Sports Data Analytics Syllabus - Mumbai University
This is the Fourth Year BSc Data Science Honours syllabus under NEP 2020, phased in one year at a time, from the academic year 2024-25. 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.
Loading syllabus...
Syllabus for Sports Data Analytics
Module I: Advanced Techniques in Sports Data Analytics printed in the syllabus as Module 2
- E. Predictive Modeling in Sports Analytics
- Introduction to predictive modeling
- Feature selection and engineering for sports data
- Linear regression models for sports prediction
- Classification models for sports outcomes F. Machine Learning in Sports Analytics
- Overview of machine learning algorithms
- Decision trees and random forests in sports analytics
- Support vector machines for sports prediction
- Neural networks and deep learning in sports analytics G. Advanced Topics in Sports Data Analytics
- Sports performance analysis
- Player tracking and motion analytics
- Sports marketing and fan engagement analytics
- Sports injury prediction and prevention H. Sports Business Analytics
- Revenue generation and marketing in sports
- Fan engagement and customer analytics 10 Text Books 1. Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers by Benjamin C. Alamar, Columbia university press, 2013 2. Sports Analytics and Data Science: Winning the Game with Methods and Models by Thomas Miller, 1st edition, Pearson FT Press, 2015 3. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance by Daniel Memmert, Tim McGarry, and Tony Reilly, 2018 11 Reference Books 1. Cricket Analytics: Analytics and Data Science in Cricket by Tapan Bagchi and S. Raghunathan 2. Machine Learning using Python by Manaranjan Pradhan and U. Dinesh Kumar, Weily , 2020 12 Internal Continuous Assessment: 50% Semester End Examination: 50%
Text Books
- 1 Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers by Benjamin C. Alamar, Columbia university press, 2013
- 2 Sports Analytics and Data Science: Winning the Game with Methods and Models by Thomas Miller, 1st edition, Pearson FT Press, 2015
- 3 Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance by Daniel Memmert, Tim McGarry, and Tony Reilly, 2018
- 1 Cricket Analytics: Analytics and Data Science in Cricket by Tapan Bagchi and S. Raghunathan
- 2 Machine Learning using Python by Manaranjan Pradhan and U. Dinesh Kumar, Weily , 2020
Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020. Wording is as printed in that syllabus. Modules are numbered in sequence here; in the syllabus itself, Module I is printed as Module 2. The PDF above is the syllabus's own page, unaltered.
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.