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B.Sc. (Data Science) Social Media Analytics Practical Syllabus - Mumbai University 2026

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.

Social Media Analytics Practical Syllabus.pdf
Major elective · Semester 8 · Fourth Year BSc Data Science Honours · 2 credits · 50 marks

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Syllabus for Social Media Analytics Practical

Major elective · Semester 8 · Fourth Year BSc Data Science Honours · 2 credits · 50 marks

Module I

  • 1. Study Various
  • Social Media platforms (Facebook, twitter, YouTube etc)
  • Social Media analytics tools (Facebook insights, google analytics netlytic etc)
  • Social Media Analytics techniques and engagement metrics (page level, post level, member level) using Gephi Tool 2. Scrape an online Social Media Site for Data. Use python to scrape information from twitter. Exploratory Data Analysis and visualization of Social Media Data 3. Create sociograms for the persons-by-persons network and the community-by- community network for a given relevant problem. Create a one-mode network and two- node network for the same. Datasets: les-Misérables, Airlines, Internet Core Routers. 4. Develop Content (text, emoticons, image, audio, video) based social media analytics model for business. (e.g., Content Based Analysis: Topic, Issue, Trend, sentiment/opinion analysis, audio, video, image analytics) 5. Develop Structure based social media analytics model for any business. (e.g., Structure Based Models -community detection, influence analysis)

Module II

  • 1. Develop a dashboard and reporting tool based on real time social media data Using Power BI 2. Use Google Visualization Charts to analyze social media data 3. Analyze social media data Network Analysis with Orange Software 4. Use Graph Neural Networks on the datasets (Planetoid Cora Dataset)/ Jazz Musicians Network. 5. Analyze Twitter conversations to identify the most active and influential users using Machine Learning Algorithms with Gephi Tool. 10 Text Books 1. Seven Layers of Social Media Analytics_ Mining Business Insights from Social Media Text, Actions, Networks, Hyperlinks, Apps, Search Engine, and Location Data, Gohar F. Khan, 2015 2. Analyzing the Social Web 1st Edition by Jennifer Golbeck, 2013 11 Reference Books 1. Mining the Social Web_ Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites, Matthew A Russell, O‘Reilly, 2019 2. Charu Aggarwal (ed.), Social Network Data Analytics, Springer, 2011 12 Semester End Examination: 100% Sem – VIII

Text Books

  • 1 Seven Layers of Social Media Analytics_ Mining Business Insights from Social Media Text, Actions, Networks, Hyperlinks, Apps, Search Engine, and Location Data, Gohar F. Khan, 2015
  • 2 Analyzing the Social Web 1st Edition by Jennifer Golbeck, 2013
  • 1 Mining the Social Web_ Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites, Matthew A Russell, O‘Reilly, 2019
  • 2 Charu Aggarwal (ed.), Social Network Data Analytics, Springer, 2011

Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020. 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 2024 25 DS SEM I & II NEP NEP 2020 syllabus, in force from 2024-25 Read full PDF Read
PDF 2023 24 BSc Data Science Sem V & VI Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
PDF 2021 22 BSc Data Science Sem III & IV Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
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