[Latest 2026] GTU BE Computer Science & Engineering (Data Science) Sem 6 Syllabus

GTU Latest 2026 Computer Science & Engineering (Data Science) Sem 6 Syllabus for all subjects pdfs download.

The GTU BE Computer Science & Engineering (Data Science) Syllabus for the year 2026 has been recently published by Gujarat Technical University (GTU), covering all semesters and subjects. This latest 2026 updated syllabus is essential for students as they prepare for their semester exams, providing them with a clear understanding of the topics to be covered and the distribution of marks for theory and practical exams.

GTU Computer Science & Engineering (Data Science) Syllabus Sem 6

L=Lectures, T=Tutorial, P=Practical, PBL=Project Based Learning, E=External Theory, M=Internal Assessment, I=Internal Viva/Submission, V=External Viva, ESE=End Semester Examination, PA=Progressive Assessment
Effective From: 2026-27 -


Subject CodeSubject NameCreditsCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
-BE06000211Text & Speech Analytics4Professional Elective - III30270302030150
-BE06000221Neural Networks Architectures for Data Analysis4Professional Elective - IV30270302030150
-BE06046011Data Warehousing and Data Mining4Professional Elective - III30270302030150
-BE06046021Deep Learning4Professional Elective - IV30270302030150
-BE06046031Information Security3Multidisciplinary Open Professional Electives Courses300703000100
-BE06046041Hardware Security3Multidisciplinary Open Professional Electives Courses300703000100
Effective From: 01-01-2025 +


Subject CodeSubject NameCreditsCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
-noc25-cs19 Business analytics and data mining Modeling using R3PEC-03 (MOOC)400100000100
-noc25-cs79 Privacy and Security in Online Social Media2MOPEC-03 (MOOC)300100000100
-noc25-ee16 Deep Learning3PEC-04(MOOC)400100000100
Effective From: Jan-25 +


Subject CodeSubject NameCreditsPapersCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
3160001Design Engineering II B1-Project Work002002080100
3160002Contributor Personality Development Program2 Personality development Elective20070302030150
3160003Integrated Personality Development Course2 Personality development Elective20070302030150
3164201Image Processing4 Professional Elective-III30270302030150
3164202Agile Software Development & Devops4 Professional Core30270302030150
3164203Theory of Computation4 Professional Elective-III30270302030150
3164206Internet of Things4 Professional Elective-II30270302030150
3164303Nature Inspired Optimization Algorithms4-Professional Elective-II30270302030150
3164304Social Media Analytics4 Professional Elective-II30270302030150
3164601Deep Learning5 Professional Core40270302030150
3164602Advanced Web Programming3-Open Elective - II20270302030150
3164603Information Security3 Open Elective - II20270302030150
3164604Big Data Analytics4 Professional Elective-III30270302030150
Effective From: 01-07-2024 +


Subject CodeSubject NameCreditsCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
-noc24-cs126 Design & Implementation of Human-Computer Interfaces3PEC 03(MOOC)400100000100
-noc24-cs132 Responsible & Safe AI Systems2MOPEC 03(MOOC)300100000100
-noc24-ge57 Learning Analytics Tools3PEC 04(MOOC)400100000100

GTU BE Computer Science & Engineering (Data Science) Syllabus

From the below table, students can download GTU Computer Science & Engineering (Data Science) Branch's other semester syllabus PDFs too. To download other semesters syllabus PDFs, click on any of the semesters from the below table.

No. GTU BE Computer Science & Engineering (Data Science) Syllabus PDFs
1. GTU BE Computer Science & Engineering (Data Science) Syllabus Sem 1
2. GTU BE Computer Science & Engineering (Data Science) Syllabus Sem 2
3. GTU BE Computer Science & Engineering (Data Science) Syllabus Sem 3
4. GTU BE Computer Science & Engineering (Data Science) Syllabus Sem 4
5. GTU BE Computer Science & Engineering (Data Science) Syllabus Sem 5
6. GTU BE Computer Science & Engineering (Data Science) Syllabus Sem 6
7. GTU BE Computer Science & Engineering (Data Science) Syllabus Sem 7
8. GTU BE Computer Science & Engineering (Data Science) Syllabus Sem 8

Conclusion

In conclusion, the GTU BE Computer Science & Engineering (Data Science) Syllabus for 2026 plays a vital role in guiding students at Gujarat Technical University towards academic success. By providing a comprehensive outline of the subjects, mark distribution, and learning objectives for each subject, the syllabus equips students with the necessary knowledge and understanding to excel in their exams.

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