M. S. Ramaiah University of Applied Sciences: Admission to Master of Computer Applications (MCA) Programme, 2025-2026

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M. S. Ramaiah University of Applied Sciences

Bengaluru, Karnataka

Admission to Master of Computer Applications (MCA) Programme, 2025-2026

M. S. Ramaiah University of Applied Sciences
Faculty of Engineering and Technology
Department of Computer Applications
Bengaluru, Karnataka
Admission to Master of Computer Applications (MCA) Programme, 2025-2026

Curriculum Details

Semester-I

Sl. No.	Course Type	Course Name	Theory	Tutorials	Practical	Max Marks	Total Credits
1	PCC	Mathematical Foundation for Computer Applications	3	1	0	100	4
2	PCC	Operating Systems	3	0	2	100	4
3	PCC	Data Structures with Algorithms	4	0	0	100	4
4	PCC	Computer Networks	3	0	0	100	3
5	PCC	Design and Analysis of Algorithms	3	1	0	100	4
6	PCC	Data Structures Laboratory	0	0	4	100	2
7	PCC	Computer Networks Laboratory	0	0	4	100	2
8	PCC	Research Methodology and IPR	2	0	0	100	2
9	PCC	Programming in C & Computer Organisation	2	2	0	100	0
	Total		20	4	10	900	25
	Total number of contact hours per week: 34

Semester-II

Sl. No.	Course Type	Course Name	Theory	Tutorials	Practical	Max Marks	Total Credits
1	PCC	Database Management System	3	0	0	100	3
2	PCC	Object Oriented Programming Using Java	3	0	0	100	3
3	PCC	Software Engineering	4	0	0	100	4
4	SEC	Full Stack Development	3	0	2	100	4
5	SEC	Artificial Intelligence and Machine Learning	4	0	0	100	4
6	PEC	Professional Elective-1: Distributed Computing / Cloud Computing	4	0	0	100	4
7	PCC	DBMS Laboratory	0	0	4	100	2
8	PCC	Java Programming Laboratory	0	0	4	100	2
9	PCC	Internship	0	0	12	100	6
	Total		21	0	22	900	32
	Total number of contact hours per week: 44

Semester-III

Sl. No.	Course Type	Course Name	Theory	Tutorials	Practical	Max Marks	Total Credits
1	SEC	Data Analytics with Python	3	0	0	100	3
2	SEC	Internet of Things	3	0	0	100	3
3	PEC	Professional Elective-2: Deep Learning / Natural Language Processing	4	0	0	100	4
4	PEC	Professional Elective-3: Blockchain Technology / AI for Healthcare	4	0	0	100	4
5	SEC	User Interface Design	4	0	0	100	4
6	SEC	Cyber Security	3	0	2	100	4
7	SEC	Data Analytics Lab	0	0	4	100	2
8	SEC	IoT Laboratory	0	0	4	100	2
9	PCC	Project Work - Phase 1	0	0	4	100	2
	Total		21	0	14	1000	38
	Total number of contact hours per week: 35

Semester-IV

Sl. No.	Course Type	Course Name	Theory	Tutorials	Practical	Max Marks	Total Credits
1	PCC	Project Work - Phase 2	0	0	40	200	20
	Total number of contact hours per week: 40

Professional Core Electives (PCE):

Sl. No.	Course Name
1	Distributed Computing
2	Cloud Computing
3	Deep Learning
4	Natural Language Processing
5	Blockchain Technology
6	AI for Healthcare

Eligibility Criteria

Graduates with a bachelor's degree from an recognized institution in any BCA / Bachelor Degree in Computer Science or Engineering or equivalent degree or B.Sc. /B.Com. / B.A. with Mathematics at 10+2 level or at Graduation level (with additional bridge courses as per the norms of concerned University and a minimum aggregate score of 50%.
Admission selection process for will be based on RUAS AT scores, and CUET-PG/KMAT/PGCET scores are also accepted and RUAS AT will be exempted for these candidates.

Fee Structure