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
iOS Developer
Android Developer
Cross-Platform Developer
React Native Developer
Flutter Developer
UI/UX Designer
Front-end Developer
Back-end Developer
Full-Stack Developer
Web Developer
Website Developer
Software Developer
Software Engineer
Mobile App Tester/QA Engineer
Career Options
Data Engineer
Data Scientist
Data Analyst
Database Administrator
Data Architect
Business Intelligence Analyst
Student Outcomes
Students with in-depth knowledge of system designing, processing of data, web designing, web solution, web hosting, data mining, software development, computer networks and ERP.
Making students, skilled professionals
Ability to operate the software and use their features to the fullest so that organisations that are employing them can achieve better outcomes.
Programme Specific Outcomes
Demonstrating expertise in creating user-friendly and functional mobile apps across different platforms.
Students will be able to analyze user requirements and understand their needs.
Students will be able to identify technical challenges and devise innovative solutions in mobile app development contexts.
Applying critical thinking and problem-solving techniques to overcome obstacles and ensure successful app development.
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
Specialized IoS lab for iPhone Application Development with 2.4 GHZ dual core Intel Core i5 processor with 8 GB RAM and 1 TB (5400 RPM) Hard Disks.
Specialized lab for Big Data Analytics and Cyber Security.
Library
Fully equipped with RFID (Radio Frequency Identification Device) Technology
Specially devised and designed Self KIOSK for Self Check in & Check out
E-Resource Lab having 60+ computer systems with latest configuration to assist for online research and resources
Specially devised and designed Mobile Application having features of; Intimation, Alerts, History, Account Status and Books search facilities
Connected with other libraries and resource centers to retrieve information resources worldwide Separate Study rooms and discussion rooms
Additional Transportation facility for special Late Evening & Sunday for Library users
More than 50000 books in the 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
Student Credit Systems
Sports Day
MU Fest
Career Guidance Seminars
Marwadi Got Talent
Cyber Safe Abhiyan
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 ?