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Fees
₹2,50,000
Placement
92.5%
Avg Package
₹6,50,000
Highest Package
₹18,00,000
Fees
₹2,50,000
Placement
92.5%
Avg Package
₹6,50,000
Highest Package
₹18,00,000
Seats
300
Students
1,200
Seats
300
Students
1,200
This section provides a detailed view of the entire curriculum for the Mobile Application Development program, covering core subjects, departmental electives, science electives, lab sessions, and capstone projects across eight semesters.
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | CS101 | Introduction to Programming | 3-0-0-3 | - |
| 1 | CS102 | Mathematics for Computer Science | 4-0-0-4 | - |
| 1 | CS103 | Introduction to Data Structures and Algorithms | 3-0-0-3 | CS101 |
| 1 | CS104 | Computer Organization and Architecture | 3-0-0-3 | - |
| 1 | CS105 | Engineering Graphics | 2-0-0-2 | - |
| 1 | SC101 | Physics for Engineers | 3-0-0-3 | - |
| 1 | SC102 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | SC103 | Mathematics for Engineers | 4-0-0-4 | - |
| 1 | SC104 | English Communication Skills | 2-0-0-2 | - |
| 1 | LAB101 | Programming Lab | 0-0-3-1 | CS101 |
| 1 | LAB102 | Data Structures Lab | 0-0-3-1 | CS103 |
| 2 | CS201 | Object-Oriented Programming with Java | 3-0-0-3 | CS101 |
| 2 | CS202 | Digital Logic and Design | 3-0-0-3 | CS104 |
| 2 | CS203 | Database Management Systems | 3-0-0-3 | CS103 |
| 2 | CS204 | Computer Networks | 3-0-0-3 | CS104 |
| 2 | CS205 | Operating Systems | 3-0-0-3 | CS103 |
| 2 | SC201 | Calculus for Engineers | 4-0-0-4 | SC103 |
| 2 | SC202 | Statistics and Probability | 3-0-0-3 | SC103 |
| 2 | LAB201 | Java Lab | 0-0-3-1 | CS201 |
| 2 | LAB202 | Database Systems Lab | 0-0-3-1 | CS203 |
| 3 | CS301 | Mobile Application Development I | 3-0-0-3 | CS201, CS203 |
| 3 | CS302 | Software Engineering | 3-0-0-3 | CS201 |
| 3 | CS303 | Web Technologies | 3-0-0-3 | CS201 |
| 3 | CS304 | Mobile Application Development II | 3-0-0-3 | CS301 |
| 3 | CS305 | Human-Computer Interaction | 3-0-0-3 | CS201 |
| 3 | SC301 | Linear Algebra and Numerical Methods | 4-0-0-4 | SC201 |
| 3 | LAB301 | Mobile App Development Lab I | 0-0-3-1 | CS301 |
| 3 | LAB302 | Software Engineering Lab | 0-0-3-1 | CS302 |
| 4 | CS401 | Mobile Application Development III | 3-0-0-3 | CS304 |
| 4 | CS402 | Advanced Web Technologies | 3-0-0-3 | CS303 |
| 4 | CS403 | Mobile Security and Privacy | 3-0-0-3 | CS301, CS204 |
| 4 | CS404 | Cloud Computing for Mobile Applications | 3-0-0-3 | CS204, CS303 |
| 4 | CS405 | Mobile AI and Machine Learning | 3-0-0-3 | CS201, SC301 |
| 4 | LAB401 | Mobile App Development Lab II | 0-0-3-1 | CS401 |
| 5 | CS501 | Advanced Mobile Applications | 3-0-0-3 | CS401, CS402 |
| 5 | CS502 | Mobile Application Architecture | 3-0-0-3 | CS401 |
| 5 | CS503 | Augmented Reality for Mobile Platforms | 3-0-0-3 | CS301 |
| 5 | CS504 | Blockchain in Mobile Applications | 3-0-0-3 | CS204, CS303 |
| 5 | CS505 | Mobile Application Testing and Quality Assurance | 3-0-0-3 | CS302 |
| 5 | LAB501 | Advanced Mobile App Development Lab | 0-0-3-1 | CS501 |
| 6 | CS601 | Capstone Project I | 4-0-0-4 | CS501, CS502 |
| 6 | CS602 | Internship | 0-0-0-6 | - |
| 7 | CS701 | Capstone Project II | 4-0-0-4 | CS601 |
| 7 | CS702 | Special Topics in Mobile Development | 3-0-0-3 | - |
| 7 | CS703 | Mobile Application Innovation Lab | 0-0-3-1 | - |
| 8 | CS801 | Final Year Project | 6-0-0-6 | CS701 |
| 8 | CS802 | Mobile Development Research | 3-0-0-3 | CS405 |
| 8 | CS803 | Industry Internship | 0-0-0-6 | - |
The following advanced elective courses are offered to provide students with deeper knowledge in specific domains of mobile application development:
This course focuses on advanced concepts in mobile app development, including real-time systems, microservices architecture, performance optimization, and scalable cloud integrations. Students will learn how to implement complex features using modern frameworks such as React Native and Flutter while maintaining cross-platform compatibility.
This course explores the evolution of web technologies and their integration with mobile platforms. Topics include Progressive Web Apps (PWAs), Service Workers, offline capabilities, and responsive design principles that enhance user experience across devices.
This course delves into security threats specific to mobile environments and how to mitigate them through secure coding practices, encryption techniques, vulnerability assessments, and penetration testing. It emphasizes real-world case studies and hands-on labs to prepare students for roles in cybersecurity within the mobile domain.
This course introduces cloud-native development models tailored for mobile applications. Students will explore AWS, Google Cloud Platform, and Microsoft Azure services, learning how to build scalable backends, implement serverless functions, and integrate APIs seamlessly into mobile apps.
This elective teaches students how to integrate artificial intelligence models into mobile applications using TensorFlow Lite, PyTorch Mobile, and cloud-based ML APIs. The course covers data preprocessing, model training, inference optimization, and deployment strategies for on-device machine learning.
This course explores the development of immersive applications using ARKit, ARCore, Unity, and Unreal Engine. Students will learn how to design interactive experiences that blend virtual elements with real-world environments, focusing on user interface design, spatial mapping, and gesture recognition.
This course introduces students to blockchain technology and its integration into mobile ecosystems. It covers smart contracts, decentralized applications (dApps), cryptocurrency wallets, and token economics relevant to mobile platforms.
This course provides an in-depth look at software architecture patterns used in large-scale mobile applications. Students will study design principles, architectural frameworks, and best practices for structuring scalable, maintainable, and testable mobile apps.
This course focuses on automated testing methodologies, performance monitoring, debugging tools, and quality assurance strategies specific to mobile platforms. Students will gain experience with QA automation frameworks and learn how to ensure app reliability and user satisfaction.
The first part of the capstone project involves conceptualizing, planning, and prototyping a comprehensive mobile application solution. Students work in teams to define requirements, conduct market research, and present their initial findings before proceeding to full implementation.
In this phase, students develop and deploy their final mobile application based on the project plan from Capstone I. The course emphasizes collaboration with industry partners, stakeholder feedback, documentation, and presentation of results.
The department strongly believes in experiential learning through project-based assignments that mirror real-world challenges. Students are encouraged to work on open-ended problems, engage with industry mentors, and iterate continuously throughout their academic journey.
Mini-projects begin in the second year and gradually increase in complexity until they culminate in the final-year thesis/capstone project. Each mini-project is assigned a faculty mentor who guides students through planning, execution, and evaluation phases.
The selection process for projects involves submitting proposals that are reviewed by a committee consisting of department heads, senior researchers, and industry experts. Projects must align with current trends in mobile development, have clear learning outcomes, and demonstrate potential for innovation or commercialization.
Evaluation criteria include technical depth, creativity, teamwork, communication skills, and the ability to meet deadlines. Students are expected to deliver regular progress reports, participate in peer reviews, and present their work at departmental symposiums.
