Masters of Science (Mobile App & UI Development)
Overview


Educational
Objectives
Eligibility Criteria
Resident Indian | ||
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A candidate shall have passed the qualifying examination BCA/Bachelor Degree in Computer Science, Engineering or Equivalent Degree OR passed BSc / BCom / BA with Mathematics or Business Mathematics or Statistics at (10+2) level or at Graduation level (With Additional bridge courses as per norms of Concerned University) from recognized institutes / universities with 50% marks (45% in case of SC/ST category). |
For NRI | ||
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A candidate shall have passed the qualifying examination BCA/Bachelor Degree in Computer Science, Engineering or Equivalent Degree OR passed BSc / BCom / BA with Mathematics or Business Mathematics or Statistics at (10+2) level or at Graduation level (With Additional bridge courses as per norms of Concerned University) from recognized institutes / universities with 50% marks (45% in case of SC/ST category). |
Eligibility Criteria
For Indian and International Students | ||
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Any Graduate |
Admission Process
Once you generate the PIN from the bank through an online or offline process,
Register yourself on
Fill the Application Details
Choice Filling
(1, 2, 3..)
You’re on the path to DISCOVER yourself
Reporting at College
Actual Admission and Token Fee Payment
Admission Process
yourself on
Application
Details
Filling
Rounds
(1, 2, 3..)
Admission
and Token
Fee Payment
College
path to DISCOVER
yourself
Duration and Fees Structure
For Indian | ||
---|---|---|
MCA | 2 Years | ₹50000/- (Per Sem) |
For International Student (USD) | ||
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MCA | 2 Years | 1600/- (Annual) |
Career Opportunities















Career Options

Data Engineer

Data Scientist

Data Analyst

Database Administrator

Data Architect

Business Intelligence Analyst
Student Outcomes



Programme Specific Outcomes





Program Specific Outcomes
Ability to demonstrate an understanding of various analysis tools and software used in data science
Construct use case based models for various domains for greater perspective.
Develop problem solving approach and present output with effective presentation and communication skills.
Curriculum
Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
05MC0101 | Data structure using C | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0102 | Web application development using PHP | Core | 0 | 4 | 0 | 2 | 0 | 0 | 0 | 25 | 25 | 50 |
05MC0103 | Object oriented programming using Java | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0104 | Operating Systems | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0105 | Relational Database Management Systems | Core | 2 | 4 | 0 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0106 | MOOC – HTML / CSS / JS | Ability Enhancement | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
05YO0101 | Yoga | Physical Education (Tertiary) | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Total | 12 | 20 | 0 | 24 | 650 |
Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
05MC0201 | Computer Networks | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0202 | Python Programming | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0203 | Mobile Programming | Core | 3 | 4 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0204 | Mini Project – 1 | Core | 0 | 4 | 0 | 2 | 00 | 00 | 00 | 25 | 25 | 50 |
05MC020x | Elective -1 | Core | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 25 | 25 | 50 |
05MC0209 | MOOC – Node / Angular / Express / React JS | Ability Enhancement | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
05SL0205 | Communication Skills | Physical Education (Tertiary) | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Total | 10 | 20 | 2 | 24 | 550 |
List of electives – I
1) 05MC0205 – NoSQL Databases
2) 05MC0206 – Image Processing
3) 05MC0207 – Data Analytics and Visualization
4) 05MC0208 – C#.Net
Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
05MC0301 | Software Engineering | Core | 4 | 0 | 1 | 5 | 50 | 30 | 20 | 0 | 0 | 100 |
05MC0302 | Cryptography | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
05MC0303 | Artificial Intelligence | Core | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 0 | 0 | 100 |
05MC0304 | Mini Project – 2 (Previous semester electives) | Core | 0 | 4 | 0 | 2 | 00 | 00 | 00 | 25 | 25 | 50 |
05MC030X | Elective – 2 | Core | 0 | 4 | 2 | 4 | 0 | 0 | 0 | 25 | 25 | 50 |
05MC0309 | MOOC – Cloud Computing | Ability Enhancement | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
05CE0301 | Corporate Etiquettes | Ability Enhancement | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Total | 12 | 14 | 3 | 24 | 500 |
List of electives – II
1) 05MC0305 – Big Data Tools
2) 05MC0306 – Machine Vision
3) 05MC0307 – Machine Learning
4) 05MC0308 – ASP.Net
Subject Code | Subject Name | Elaboration | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | |||||
Theory | Practical | Tutorial | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
05MC0401 | Industry Defined Project (Internship) | Core | 0 | 36 | 0 | 18 | 0 | 0 | 0 | 250 | 50 | 300 |
Total | 0 | 36 | 0 | 300 |
Core Courses
Serial No. | Course name |
1 | Data Structure using C |
2 | Web App Development using PHP |
3 | Object Oriented Programming using Java |
4 | Operating systems |
5 | RDBMS |
6 | Computer Networks |
7 | Python |
8 | Mobile Programming |
9 | Software Engineering |
10 | Cryptography |
11 | Artificial Intelligence |
Elective Courses
Serial No. | Course name |
1 | NoSQL Databases |
2 | Image Processing |
3 | Data Analytics and Visualizationg |
4 | C# dot net |
5 | Big Data Tools |
6 | Machine Vision |
7 | Machine Learning |
8 | ASP dot net |
Career Opportunities
Data Engineer
Data Scientist
Data Analyst
Database Administrator
Data Architect
Business Intelligence Analyst
Facilities
Lab





Library







Scholarship


Campus Facilities
Impressive Infrastructure
IT Enabled Infrastructure
Sports Infrastructure
State-of-the-art Classrooms
Hostels with Gymnasium
Library with 50000+ Books
Academic & Cultural Events
Best Placement
Industry Associations








Dean's Message

Dr. R Sridaran (PhD)
Dean Faculty of Computer Applications
“Education is the passport to the future, for tomorrow belongs to those who prepare for it today” – Malcolm X
Successful
Alumni
Faculties
Awards & Recognition
7 Full time PhD guides are available in the department to enhance research activities under the sub domains of Computer Networks, Cloud Computing Security, Machine Vision, AI & ML and IoT. A special lab for research in Machine Vision is established with necessary peripherals and softwares. There are 26 Research Scholars currently active in full time/part time research.
The students of MCA have to undergo a 4 months Industry Internship Programme as a part of their curriculum in the last semester which will be evaluated jointly by the industry and academia experts.
FAQ
Q. Is there any Loan Facility Available ?
https://www.marwadiuniversity.ac.in/student-loan/
Q. Is there any Scholarship Available ?
https://www.marwadiuniversity.ac.in/student-loan/
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Q. What all Documents are necessary to bring in while joining the University ?
Q. Is there any Medical Facility provided ?