Master of Computer Applications (MCA)
About
The Master of Computer Applications (MCA) program at IIIT Vadodara will address the growing demand for highly skilled professionals in the field of computer science and information technology. With the advent of transformative technologies such as Artificial Intelligence, Data Science, Cloud Computing, and Cybersecurity, the program aims to equip students with cutting-edge technical expertise and analytical skills to excel in dynamic and competitive global markets.
IIIT Vadodara offers programs in Computer Science and IT, supported by research labs and a focus on emerging technologies.
Leveraging IIIT Vadodara's strong foundation in technology education and research, the MCA program will emphasize hands-on learning, industry collaboration, and innovation. The curriculum integrates theoretical knowledge with practical applications, preparing graduates for leadership roles in the IT industry, academia, and entrepreneurship.
Objective
The objectives of the MCA program at IIIT Vadodara are:
1. Advanced Knowledge and Skills: To provide in-depth knowledge in computer science and IT, fostering expertise in software development, system design, and emerging technologies.
2. Problem-Solving and Innovation: To nurture problem-solving and analytical skills, encouraging innovative approaches to address real-world challenges in diverse application domains.
3. Industry Readiness: To bridge the gap between academia and industry through internships, collaborative projects, and exposure to contemporary tools and practices.
4. Research and Development: To inspire students to pursue research and contribute to the development of innovative solutions in computing and allied fields.
5. Ethics and Professionalism: To instill professional ethics, social responsibility, and teamwork, enabling students to contribute meaningfully to society.
6. Capacity Building: To build an ecosystem for sustainable human resource development in the field of IT.
7. Lifelong Learning: To prepare graduates for lifelong learning and adaptability in rapidly evolving technological landscapes.
The MCA program aligns with IIIT Vadodara’s mission to foster excellence in education, research, and innovation in the field of computer science and engineering.
Duration of the Program
Three Years (Six semesters)
Broad Program Credit Structure
The proposed credit structure and the courses have been designed based on the discussions and deliberations in the committee on program objectives and also considering curricula of similar programs offered by other national institutes. The fixation of the credit distribution is based on the NEP 2020 guidelines. The table below presents the credit distribution for the proposed programs.
|
Sr. no. |
Area |
Credits |
|
1 |
Mathematics & Statistics |
10-14 |
|
2 |
Computer Science & Information Technology |
64-70 |
|
3 |
Humanities and Social Sciences, Indian Knowledge System |
10-14 |
|
4 |
Soft Skills, Management Studies, Entrepreneurship and Innovation |
10-14 |
|
5 |
Project / Internship |
25-30 |
|
|
Total Credits |
128-134 |
Semester-wise course listing
A tentative semester-wise course listing is placed below as reference.
|
|
Credits ( Lecture - Tutorial - Practicals) |
Total Credits (C) |
||||
|
Semester |
Course Code |
Course Name |
L |
T |
P |
|
|
I |
MS441 |
Discrete Mathematics |
3 |
1 |
0 |
4 |
|
CS441 |
Computer Programming and Problem Solving |
3 |
0 |
3 |
5 |
|
|
CS443 |
Python Programming |
3 |
0 |
2 |
4 |
|
|
CS445 |
Operating Systems |
3 |
0 |
2 |
4 |
|
|
CS447 |
Basics of Web Programming |
2 |
0 |
2 |
3 |
|
|
HS441 |
Spoken and Written Communication |
1 |
0 |
2 |
2 |
|
|
|
Total Credits |
15 |
1 |
11 |
22 |
|
|
II |
MS442 |
Probability & Statistics |
3 |
1 |
0 |
4 |
|
CS442 |
Data Structures |
3 |
0 |
2 |
4 |
|
|
EC442 |
Digital Designs and Computer Architecture |
3 |
0 |
2 |
4 |
|
|
CS444 |
Database Management Systems |
3 |
0 |
2 |
4 |
|
|
CS446 |
Computer Networks |
3 |
0 |
2 |
4 |
|
|
HS442 |
Technical writing |
0 |
1 |
2 |
2 |
|
|
|
Total Credits |
15 |
2 |
10 |
22 |
|
|
III |
MS541 |
Linear Algebra |
3 |
1 |
0 |
4 |
|
CS541 |
Design & Analysis of Algorithms |
3 |
0 |
2 |
4 |
|
|
CS543 |
Web Technology |
2 |
0 |
2 |
3 |
|
|
CS545 |
Software Engineering |
3 |
0 |
2 |
4 |
|
|
CS547 |
Object Oriented Programming |
3 |
0 |
2 |
4 |
|
|
HS541 |
Science, Technology and Society |
2 |
1 |
0 |
3 |
|
|
CS591 |
Minor Project – I |
0 |
0 |
6 |
3 |
|
|
|
Total Credits |
16 |
2 |
14 |
25 |
|
|
IV |
CS542 |
Big Data Analytics |
3 |
0 |
2 |
4 |
|
CS544 |
Machine Learning |
3 |
0 |
2 |
4 |
|
|
CS546 |
Information Security |
3 |
0 |
2 |
4 |
|
|
CS548 |
Elective – I |
3 |
0 |
0 |
3 |
|
|
CS552 |
Elective – II |
3 |
0 |
2 |
4 |
|
|
CS592 |
Minor Project – II |
0 |
0 |
6 |
3 |
|
|
|
Total Credits |
15 |
0 |
14 |
22 |
|
|
V |
CS641 |
Artificial Intelligence |
3 |
0 |
2 |
4 |
|
CS643 |
Distributed and Cloud Computing |
3 |
0 |
0 |
3 |
|
|
CS645 |
Elective – 3 |
3 |
0 |
0 |
3 |
|
|
CS647 |
Elective – 4 |
3 |
0 |
2 |
4 |
|
|
CS649 |
Elective – 5 |
3 |
0 |
0 |
3 |
|
|
CS691 |
Minor Project-III |
0 |
0 |
8 |
4 |
|
|
|
Total Credits |
15 |
0 |
12 |
21 |
|
|
VI |
CS692 |
Dissertation (Major Project) |
0 |
0 |
36 |
18 |
|
|
Total Credits |
0 |
0 |
36 |
18 |
|
Seats Matrix (AY 2025-26)
International Campus Diu
|
Branch |
GEN EWS |
GEN EWS PWD |
Total |
OPEN |
OPEN PwD |
Total |
ST |
ST PwD |
Total |
SC |
SC PwD |
Total |
OBC |
OBC PwD |
Total |
G. Total |
|
|
9 |
0 |
9 |
34 |
2 |
36 |
7 |
0 |
7 |
13 |
1 |
14 |
23 |
1 |
24 |
90 |
Fees Structure
|
MCA |
Admission Batch 2025-26 |
||||||
|
Sr No |
|
Sem I |
Sem II |
Sem III |
Sem IV |
Sem V |
Sem VI |
|
1 |
Caution Deposit(Refundable) |
10000 |
10000 |
- |
- |
- |
- |
|
2 |
I Card Fee (One time) |
100 |
- |
- |
- |
- |
- |
|
3 |
Institute Development Contribution (IDC) (One time) |
5000 |
5000 |
- |
- |
- |
- |
|
4 |
Tuition Fee |
125000 |
125000 |
125000 |
125000 |
125000 |
125000 |
|
5 |
Exam Fee |
750 |
750 |
1000 |
1000 |
1000 |
1000 |
|
6 |
Student Activities Centre Fees |
2000 |
2000 |
2000 |
2000 |
2500 |
2500 |
|
7 |
Student Insurance |
120 |
- |
120 |
- |
120 |
- |
|
8 |
Medical Fees |
1500 |
1500 |
2000 |
2000 |
2000 |
2000 |
|
9 |
Hostel & Mess Reserve Fund |
1500 |
1500 |
1500 |
1500 |
1500 |
1500 |
|
10 |
Lib Fee |
750 |
750 |
750 |
750 |
750 |
750 |
|
11 |
Alumni Fee |
- |
- |
1250 |
1250 |
1250 |
1250 |
|
12 |
Convocation Fee |
- |
- |
1000 |
1000 |
1000 |
1000 |
|
Sub Total |
146720 |
146500 |
134620 |
134500 |
135120 |
135000 |
|
|
Note |
1. Tuition Fee shall remain fixed for the duration of course, Other Fees are indicative and may vary. |
||||||
Eligibility Criteria
Indian Nationals securing at least 60% marks in aggregate or 6.5 CGPA on a 10-point scale (55% marks or 6.0 CGPA on a 10-point scale in case of SC/ ST/PwD) in
(i) Any UG program of minimum Three years with Mathematics/ Statistics as one of the subjects.
OR
(ii) B.E./ B.Tech. from a recognized University/Institution are eligible to appear for NIMCET-2024.
Note: Conversion of scored marks from CGPA to percentage and vice-versa is not permitted. CGPA other than 10-point scale will be converted to 10-point scale based on unitary method.
Admission Process
The admission in MCA programme will be based on an all India entrance examination NIMCET score. The admission criterion for MCA will be the same as decided by the NIMCET committee. The institute may conduct SPOT admissions after conclusion of the NIMCET admission process for available seats.
Other Details: CLICK HERE
Program Coordinator
Dr. Naveen Kumar
Email: naveen_kumar@iiitvadodara.ac.in
Contact no: +91 80000 86132