[Latest 2026] GTU BE Computer Science & Engineering (Data Science) Sem 7 Syllabus

GTU Latest 2026 Computer Science & Engineering (Data Science) Sem 7 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 7

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: 2027-28 -


Subject CodeSubject NameCreditsCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
-BE07000171Cloud Computing4Professional Elective - VI30270302030150
-BE07000201Industrial 4.0 and Industrial IOT3Multidisciplinary Open Professional Electives Courses300703000100
Effective From: 2026-27 +


Subject CodeSubject NameCreditsCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
-BE07000071Image & Video Analytics4Professional Elective - V30270302030150
-BE07000211Bio Inspired Optimization Techniques4Professional Elective - VI30270302030150
-BE07000221Cyber Forensics3Multidisciplinary Open Professional Electives Courses300703000100
Effective From: July-25 +


Subject CodeSubject NameCreditsPapersCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
3170717Cloud Computing3 Professional Elective - IV300703000100
3170726Mobile Application Development3 Open Elective - III20270302030150
3171613Pattern Recognition4 Professional Elective - VI30270302030150
3174203AI in HealthCare & Fintech3 Professional Elective -IV300703000100
3174206Computer Vision4 Professional Elective -V30270302030150
3174208Reinforcement Learning4 Professional Elective -VI30270302030150
3174601 Fundamentals of Artificial Intelligence5 Professional Core40270302030150
3174602 Natural Language Processing5 Professional Core40270302030150
3174603 Soft Computing4-Professional Elective -V30270302030150
3174604 R Programming for Data Analytics3 Open Elective - III20270302030150
Effective From: 01-01-2025 +


Subject CodeSubject NameCreditsCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
-noc25-cs11 Cloud Computing3PEC-06(MOOC)400100000100
-noc25-cs43 Introduction To Industry 4.0 And Industrial Internet Of Things2MOPEC-04(MOOC)300100000100
-noc25-cs62 Reinforcement Learning3PEC-05(MOOC)400100000100
Effective From: 01-07-2024 +


Subject CodeSubject NameCreditsCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
-noc24-cs118 Cloud Computing3PEC 06 (MOOC)400100000100
-noc24-cs85 Practical Cyber Security for Cyber Security Practitioners2MOPEC 04(MOOC)300100000100
-noc24-ge57 Learning Analytics Tools3PEC 05 (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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