B.E Artificial Intelligence and Machine Learning Semester 4 Syllabus - Mumbai University 2026

This is the Second Year AI-ML syllabus under NEP 2020, in force from the academic year 2025-26. 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.

Browse Syllabus by Subject

These are the courses the University circular for B.E. (Artificial Intelligence and Machine Learning) sets for this semester, 17 credits in all. Your Open Elective and your Multidisciplinary Minor are chosen from baskets other Boards of the University fill, and the University publishes no syllabus for them in this circular.

PDF Computational Theory 3 credits · 100 marks Read syllabus Read

PDF Database Management System 3 credits · 100 marks Read syllabus Read

PDF Operating System 3 credits · 100 marks Read syllabus Read

PDF Database Management System Lab 1 credit · 50 marks Read syllabus Read

PDF Operating System Lab 1 credit · 50 marks Read syllabus Read

PDF Mini Project 2 credits · 75 marks Read syllabus Read

PDF Business Model Development 2 credits · 50 marks Read syllabus Read

PDF Design Thinking 2 credits · 50 marks Read syllabus Read

The complete syllabus

Every subject above is cut from these University circulars, one per year of the degree. Open one if you want the whole document rather than a single subject.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read

PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read

PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read

PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read

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