M.Sc. (Information Technology) Big Data Analytics Syllabus - Mumbai University
This is the University of Mumbai syllabus for M.Sc. (Information Technology) under NEP 2020, in force from the academic year 2024-25. Semesters I and II are set by item 6.29 (N) and Semesters III and IV by item 6.2 (N). The University examines this programme under form 1113161, whose Summer 2026 timetable is headed NEP-2020; the distance and older Choice Based modes of the same degree are examined under different forms and different papers.
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Syllabus for Big Data Analytics
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- Patterns, Last-Mile Analytics, Data Mining and Warehousing, IV Structured Data Queries with Hive, HBase, Data Ingestion, Importing Relational data with Sqoop, Injesting stream data with flume. Analytics with higher level APIs, Pig, Spark’s higher level APIs. ,
Books and References
- 1 Big Data and Analytics Subhashini Wiley First Chellappan Seema Acharya
- 2 Data Analytics with Hadoop Benjamin O’Reilly 2016 An Introduction for Data Bengfort and Scientists Jenny Kim
- 3 Big Data and Hadoop V.K Jain Khanna First 2018 Publishing
Reproduced from the University of Mumbai syllabus for M.Sc. (Information Technology) under NEP 2020, in force from the academic year 2024-25. Wording, unit numbering and lecture allocation are as printed in that syllabus. The PDF above is the syllabus's own page, unaltered.
The complete syllabus
This subject is cut from the University circular for the whole diploma. Open it here if you want the whole thing rather than a single subject.
Use Part 1 or Part 2 NEP first so the module scope matches your Mumbai University exam.
Use MSc IT notes only after confirming the semester units and topic order.
Open MSc IT question papers after the syllabus check so revision follows the same course structure.