[Latest 2026] GTU MCA MCA Sem 5 Syllabus

GTU Latest 2026 MCA Sem 5 Syllabus for all subjects pdfs download.

The GTU MCA MCA 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 MCA Syllabus Sem 5

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: 2018-19 -

Subject Code	Subject Name	Credits	Papers	Category	Teaching Scheme			Examination Marks				Total Marks
					L	T	P	Theory Marks		Practical Marks
					L	T	P	ESE (E)	PA (M)	PA (I)	ESE Viva (V)
4659301	Design and Analysis of Algorithms	8		Compulsory Subject	4	0	4	70	30	20	30	150
4659302	Machine Learning	7		Compulsory Subject	3	0	4	70	30	20	30	150
4659303	Software Engineering	5		Compulsory Subject	5	0	0	70	30	0	0	100
4659304	Software Project - III	4	-	Compulsory Subject	0	0	4	0	0	20	80	100
4659305	Application Development using SPRING	6		Elective Subject	3	0	3	70	30	20	30	150
4659306	Big Data Analytics	6		Elective Subject	3	0	3	70	30	20	30	150
4659307	Application Development using LARAVEL	6		Elective Subject	3	0	3	70	30	20	30	150
4659308	Advanced Network	6		Elective Subject	3	0	3	70	30	20	30	150
4659309	Image Processing	6		Elective Subject	3	0	3	70	30	20	30	150
4659310	Operation Research	6		Elective Subject	3	0	3	70	30	20	30	150
4659311	Web Data Management	6	-	Elective Subject of IEP Students only	3	0	3	70	30	20	30	150
4659312	Wireless Communication and Mobile Computing	6	-	Elective Subject of IEP Students only	3	0	3	70	30	20	30	150

Effective From: Jun. 2017 +

Subject Code	Subject Name	Credits	Papers	Category	Teaching Scheme			Examination Marks				Total Marks
					L	T	P	Theory Marks		Practical Marks
					L	T	P	ESE (E)	PA (M)	PA (I)	ESE Viva (V)
3650001	Design & Analysis of Algorithms	7		Compulsory Subject	4	0	3	70	30	20	30	150
3650002	Artificial Intelligence	7		Compulsory Subject	4	0	3	70	30	20	30	150
3650003	Digital Technology Trends	4	-	Compulsory Subject	0	0	4	0	0	20	80	100
3650004	Big Data Analytics	6		Elective Subject	3	0	3	70	30	20	30	150
3650005	Java Web Technologies	6		Elective Subject	3	0	3	70	30	20	30	150
3650006	Web Commerce	6		Elective Subject	3	0	3	70	30	20	30	150
3650007	Search Engine Techniques	6		Elective Subject	3	0	3	70	30	20	30	150
3650008	Web Data Management	6	-	Elective Subject of IEP Students only	3	0	3	70	30	20	30	150
3650009	Advanced Networking	6		Elective Subject	3	0	3	70	30	20	30	150
3650010	Big Data Tools	6		Elective Subject	3	0	3	70	30	20	30	150
3650011	Software Quality and Assurance	6		Elective Subject	3	0	3	70	30	20	30	150
3650012	Cloud Computing	6		Elective Subject	3	0	3	70	30	20	30	150
3650013	Information Retrieving	6		Elective Subject	3	0	3	70	30	20	30	150
3650014	Machine Learning	6		Elective Subject	3	0	3	70	30	20	30	150
3650015	Data Visualization	6		Elective Subject	3	0	3	70	30	20	30	150
3650016	Wireless Communication & Mobile Computing	6	-	Elective Subject of IEP Students only	3	0	3	70	30	20	30	150

Effective From: 2013-14 +

	Subject Code	Subject Name	Credits	Papers	Category	Teaching Scheme			Examination Marks				Total Marks
						L	T	P	Theory Marks		Practical Marks
						L	T	P	ESE (E)	PA (M)	PA (I)	ESE Viva (V)
-	2650001	Software Engineering	5		Compulsory Subject	4	1	0	70	30	50	0	150
-	2650002	Network Security	5		Compulsory Subject	4	1	0	70	30	50	0	150
-	2650003	Mobile Computing	4		Compulsory Subject	4	0	0	70	30	50	0	150
-	2650004	Advanced Data Base Management Systems	5		Elective-II	4	1	0	70	30	50	0	150
-	2650005	Parallel Processing	5		Elective-II	4	1	0	70	30	50	0	150
-	2650006	Web Searching Technologies & Search Engine Optimization	5		Elective-II	4	1	0	70	30	50	0	150
-	2650007	Wireless Sensor Networks	5		Elective-II	4	1	0	70	30	50	0	150
-	2650008	Cyber Security and Forensic	5		Elective-II	4	1	0	70	30	50	0	150
-	2650009	Web Data Management	5		Elective-II	4	1	0	70	30	50	0	150
-	2650010	Advanced Networking	5		Elective-III	4	1	0	70	30	50	0	150
-	2650011	Image Processing	5	-	Elective-III	4	1	0	70	30	50	0	150
-	2650012	Software Development for Embedded Systems	5		Elective-III	4	1	0	70	30	50	0	150
-	2650013	Geographical Information System	5		Elective-III	4	1	0	70	30	50	0	150
-	2650014	Language Processing	5		Elective-III	4	1	0	70	30	50	0	150
-	2650015	Bio-Informatics	5		Elective-III	4	1	0	70	30	50	0	150
-	2650016	Wireless Communication:Mobile	5		Elective-III	4	1	0	70	30	50	0	150
-	2650017	Software Lab-Mobile Computing	4	-	Compulsory Subject	0	0	4	0	0	20	80	100
-	2650019	Web Project Using Open Source	2	-	Compulsory Subject	0	0	2	0	0	20	80	100
-	2650020	Software Project Management	5		Elective-II	4	1	0	70	30	50	0	150

Effective From: 2011-12 +

	Subject Code	Subject Name	Credits	Papers	Category	Teaching Scheme			Examination Marks				Total Marks
						L	T	P	Theory Marks		Practical Marks
						L	T	P	ESE (E)	PA (M)	PA (I)	ESE Viva (V)
-	650001	Software Engineering	5		Compulsory Subject	4	1	0	70	30	50	0	150
-	650002	Network Security	5		Compulsory Subject	4	1	0	70	30	50	0	150
-	650003	Mobile Computing	4		Compulsory Subject	4	0	0	70	30	50	0	150
-	650004	Advanced Data Base Management Systems	5		Elective Subject	4	1	0	70	30	50	0	150
-	650005	Parallel Programming	5		Elective Subject	4	1	0	70	30	50	0	150
-	650006	Web Searching Technologies & Search Engine Optimization	5		Elective Subject	4	1	0	70	30	50	0	150
-	650007	Wireless Sensor Network	5		Elective Subject	4	1	0	70	30	50	0	150
-	650008	Cyber Security and Forensics	5		Elective Subject	4	1	0	70	30	50	0	150
-	650009	Web Data Management	5		Elective Subject	4	1	0	70	30	50	0	150
-	650010	Advanced Networking	5		Elective Subject	4	1	0	70	30	50	0	150
-	650011	Image Processing	5	-	Elective Subject	4	1	0	70	30	50	0	150
-	650012	Software Development for Embedded Systems	5		Elective Subject	4	1	0	70	30	50	0	150
-	650013	Geographical Information System	5		Elective Subject	4	1	0	70	30	50	0	150
-	650014	Language Processing	5	-	Elective Subject	4	1	0	70	30	50	0	150
-	650015	Bioinformatics	5		Elective Subject	4	1	0	70	30	50	0	150
-	650016	Wireless Communication Mobile	5		Elective Subject	4	1	0	70	30	50	0	150
-	650017	Software Lab in Mobile Computing	4	-	Compulsory Subject	0	0	4	0	0	20	80	100
-	650018	Dissertation & Project Definition	2	-	Compulsory Subject	0	0	2	0	50	20	80	150

GTU MCA MCA Syllabus

From the below table, students can download GTU MCA 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 MCA MCA Syllabus PDFs
1.	GTU MCA MCA Syllabus Sem 1
2.	GTU MCA MCA Syllabus Sem 2
3.	GTU MCA MCA Syllabus Sem 3
4.	GTU MCA MCA Syllabus Sem 4
5.	GTU MCA MCA Syllabus Sem 5
6.	GTU MCA MCA Syllabus Sem 6

Conclusion

In conclusion, the GTU MCA MCA 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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[Latest 2026] GTU MCA MCA Sem 5 Syllabus

GTU MCA Syllabus Sem 5

GTU MCA MCA Syllabus

Conclusion

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[Latest 2026] GTU MCA MCA Sem 5 Syllabus

GTU MCA Syllabus Sem 5

GTU MCA MCA Syllabus

Conclusion

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