B.Sc. (Data Science) Spatial Data Analytics 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 Spatial Data Analytics
Module I
- 1. Loading and Formatting Vector Data 2. Loading and Formatting Raster Data 3. Raster Data Analysis 4. Loading and Formatting CSV Files 5. Calculating Line Length & area and Statistics 6. Working with attribute data 7. Terrain Analysis and Hill Shade Analysis 8. Performing Table Joins 9. Performing Spatial Joins 10. Performing Spatial Queries
Module II
- 11. Nearest Neighbor Analysis 12. Calculating Raster Area 13. Animating Time Series Data 14. Basic Network Visualization and Routing 15. Simple Geospatial Analysis with QGIS 16. Geospatial Data Analysis with GeoPandas 17. Geospatial exploratory data analysis with GeoPandas and DuckDB 18. Calculating Distance using Python 19. Get a list of 5 addresses in your city and geocode them using python. 20. Route Optimization using Python 10 Text Books 1. Fundamentals of Remote Sensing – Canada Center for Remote sensing. 2. Fundamental of Remote Sensing – NASA ARSET 3. https://github.com/amitkb3/python_spatial_analysis_final_project/blob/master/PythonS patialAnalysisCourse_FinalProject.ipynb 4. https://github.com/AshishA2812/Python_Spatial_Project1/blob/master/DBscan%20clu stering_AshishA.ipynb?short_path=8c8970c 11 Reference Books 1. GeoPandas Documentation, GeoPandas Developers, Latest Ed., 2024. 2. QGIS Training Manual, QGIS Documentation Team, Latest Ed., Open Source Geospatial Foundation, 2023. 3. Introduction to Geographic Information Systems, Chang, K.-t., 9th Ed., McGraw-Hill, 2019. 12 Internal Continuous Assessment: 40% Semester End Examination: 60% 13 Continuous Evaluation through: 30 marks Semester End Domain Specific Case Study based on Application of Examination Remote Sensing and GIS = 10 Marks Simple Geospatial Analysis with QGIS = 10 Marks Total = 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 12 marks Q3. Journal and Viva 05 marks
Text Books
- 1 Fundamentals of Remote Sensing – Canada Center for Remote sensing.
- 2 Fundamental of Remote Sensing – NASA ARSET
- 3 https://github.com/amitkb3/python_spatial_analysis_final_project/blob/master/PythonS patialAnalysisCourse_FinalProject.ipynb
- 4 https://github.com/AshishA2812/Python_Spatial_Project1/blob/master/DBscan%20clu stering_AshishA.ipynb?short_path=8c8970c
- 1 GeoPandas Documentation, GeoPandas Developers, Latest Ed., 2024.
- 2 QGIS Training Manual, QGIS Documentation Team, Latest Ed., Open Source Geospatial Foundation, 2023.
- 3 Introduction to Geographic Information Systems, Chang, K.-t., 9th Ed., McGraw-Hill, 2019.
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.