[Latest 2026] GTU BE Information Technology Sem 6 Syllabus

GTU Latest 2026 Information Technology Sem 6 Syllabus for all subjects pdfs download.

The GTU BE Information Technology 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 Information Technology 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)
-BE06016011Advanced Web Development4Professional Elective - III30270302030150
-BE06016021Agile Development and UI/UX Design3Multidisciplinary Open Professional Electives Courses30070302030150
-BE06016031Data Analysis and Visualization4Professional Elective - III30270302030150
-BE06016041Artificial Intelligence and Machine Learning4Professional Elective - IV30270302030150
-BE06016051Pattern Recognition4Professional Elective - IV30270302030150
-BE06016061Formal Language and Automata Theory3Multidisciplinary 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-cs09 Business Intelligence & Analytics3PEC-03 (MOOC)400100000100
-noc25-cs70 Theory of Computation2MOPEC-03 (MOOC)300100000100
-noc25-ee16 Deep Learning3PEC-04(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-cs70 Introduction to Graph Algorithm2MOPEC 03(MOOC)300100000100
-noc24-cs90 Social Network Analysis3PEC 03(MOOC)400100000100
-noc24-ee146 Machine Learning and Deep learning - Fundamentals and Applications3PEC 04(MOOC)400100000100
Effective From: Dec-2020 +


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
3161604Image Processing4 Professional Elective - II30270302030150
3161605Software Engineering5 Professional Core40270302030150
3161606Cryptography and Network security4 Professional Core30270302030150
3161607Big Data Analytics4 Professional Elective - II30270302030150
3161608Artificial Intelligence4 Professional Elective - II30270302030150
3161609Enterprise Application Development4 Professional Elective - III30270302030150
3161610Data Warehousing and Mining4 Professional Elective - III30270302030150
3161611Advanced Web Programming4 Professional Elective - III30270302030150
3161612Mobile Application Development3 Open elective - II20270302030150
3161613Data Analysis and Visualization3 Open elective - II20270302030150
Effective From: Dec 2015 +


Subject CodeSubject NameCreditsPapersCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
2160001Design Engineering - II B3-Compulsory003002080100
2160701Software Engineering6 Compulsory40270302030150
2160707Advanced Java6 Compulsory40270302030150
2160708Web Technology5 Compulsory30270302030150
2160709Embedded & VLSI Design6 Departmental Elective I40270302030150
2160710Distributed operating system6 Departmental Elective I40270302030150
2160711.Net Technology6 Departmental Elective I40270302030150
2161603Data Compression and data Retrival5 Compulsory30270302030150
2161604Image processing6 Departmental Elective I40270302030150
Effective From: 2008-09 +


Subject CodeSubject NameCreditsPapersCategoryTeaching SchemeExamination MarksTotal Marks
LTPTheory MarksPractical Marks
ESE (E)PA (M)PA (I)ESE Viva (V)
160701Software Engineering6 Compulsory4027030500150
160702Information Security6 Compulsory4027030500150
160703Computer Graphics6 Compulsory4027030500150
161601Modelling, Simulation and Operations Research6 Compulsory4027030500150
161602Web Technology and Programming5 Compulsory3027030500150

GTU BE Information Technology Syllabus

From the below table, students can download GTU Information Technology 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 Information Technology Syllabus PDFs
1. GTU BE Information Technology Syllabus Sem 1
2. GTU BE Information Technology Syllabus Sem 2
3. GTU BE Information Technology Syllabus Sem 3
4. GTU BE Information Technology Syllabus Sem 4
5. GTU BE Information Technology Syllabus Sem 5
6. GTU BE Information Technology Syllabus Sem 6
7. GTU BE Information Technology Syllabus Sem 7
8. GTU BE Information Technology Syllabus Sem 8

Conclusion

In conclusion, the GTU BE Information Technology 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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