GTU Latest 2025 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 2025 has been recently published by Gujarat Technical University (GTU), covering all semesters and subjects. This latest 2025 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, E=TheoryExternal, M=TheoryInternal, I=Practical Internal, V=Practical External, ESE – End Semester Examination, PA – Progressive Assessment
| Subject Code | Subject Name | Credits | Papers | Category | Teaching Scheme | Examination Marks | Total Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | Theory Marks | Practical Marks | |||||||||
| ESE (E) | PA (M) | PA (I) | ESE Viva (V) | ||||||||||
| - | BE06046041 | Hardware Security | 0 | - | Multidisciplinary Open Professional Electives Courses | 3 | 0 | 0 | 3 | 70 | 30 | 0 | 0 |
| - | BE06046031 | Information Security | 0 | - | Multidisciplinary Open Professional Electives Courses | 3 | 0 | 0 | 3 | 70 | 30 | 0 | 0 |
| - | BE06046021 | Deep Learning | 0 | - | Professional Elective - IV | 3 | 0 | 2 | 4 | 70 | 30 | 20 | 30 |
| - | BE06046011 | Data Warehousing and Data Mining | 0 | - | Professional Elective - III | 3 | 0 | 2 | 4 | 70 | 30 | 20 | 30 |
| - | BE06000221 | Neural Networks Architectures for Data Analysis | 0 | - | Professional Elective - IV | 3 | 0 | 2 | 4 | 70 | 30 | 20 | 30 |
| - | BE06000211 | Text & Speech Analytics | 0 | - | Professional Elective - III | 3 | 0 | 2 | 4 | 70 | 30 | 20 | 30 |
| Subject Code | Subject Name | Credits | Papers | Category | Teaching Scheme | Examination Marks | Total Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | Theory Marks | Practical Marks | |||||||||
| ESE (E) | PA (M) | PA (I) | ESE Viva (V) | ||||||||||
| - | noc25-ee16 | Deep Learning | 0 | - | PEC-04(MOOC) | 4 | 0 | 0 | 3 | 100 | 0 | 0 | 0 |
| - | noc25-cs19 | Business analytics and data mining Modeling using R | 0 | - | PEC-03 (MOOC) | 4 | 0 | 0 | 3 | 100 | 0 | 0 | 0 |
| Subject Code | Subject Name | Credits | Papers | Category | Teaching Scheme | Examination Marks | Total Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | Theory Marks | Practical Marks | |||||||||
| ESE (E) | PA (M) | PA (I) | ESE Viva (V) | ||||||||||
| - | noc24-cs132 | Responsible & Safe AI Systems | 0 | - | MOPEC 03(MOOC) | 3 | 0 | 0 | 2 | 100 | 0 | 0 | 0 |
| - | noc24-cs126 | Design & Implementation of Human-Computer Interfaces | 0 | - | PEC 03(MOOC) | 4 | 0 | 0 | 3 | 100 | 0 | 0 | 0 |
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.
Conclusion
In conclusion, the GTU BE Computer Science & Engineering (Data Science) Syllabus for 2025 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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