B.E. (Artificial Intelligence and Data Science) Semester 6 Syllabus - Mumbai University 2026
This is the TY BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2022-23. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01815 and 1T01816. The first and second years of the degree are on NEP 2020.
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Data Analytics and Visualization
3 credits
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Cryptography and System Security
3 credits
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Software Engineering and Project Management
3 credits
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Machine Learning
3 credits
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High Performance Computing
Department Level Optional Course -2 · 3 credits
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Distributed Computing
Department Level Optional Course -2 · 3 credits
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Image and Video Processing
Department Level Optional Course -2 · 3 credits
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Data Analytics and Visualization Lab
1 credits
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Cryptographic and System Security Lab
Cryptography & System Security Lab · 1 credits
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Software Engineering AndProject Management Lab
1 credits
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Machine Learning Lab
1 credits
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Skill Based Lab Course Cloud Computing
Skill base Lab Course: Cloud Computing · 2 credits
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Mini Project 2B
Mini Project Lab: 2B · 2 credits
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The complete syllabus
Every subject above is cut from these University circulars. Open one if you want the whole document rather than a single subject.
B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A)
NEP 2020, Semesters I and II, in force from 2024-25
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B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N)
NEP 2020, Semesters III and IV, in force from 2025-26
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B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R)
CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23
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B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N)
CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24
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