SVCE Bengaluru
cse-cy

MASTER OF COMPUTER APPLICATIONS

Overview

SVCE Bengaluru offers the PG program Master of Computer Applications (MCA) which is designed to develop motivated, innovative, and creative graduates who are equipped to excel as software engineers. The program focuses on nurturing the ability to conceptualize, design, analyse, and develop computer software, aligning with modern-day industry demands and preparing students to meet the challenges of the evolving tech landscape. The MCA program emphasizes industry-relevant advanced subjects, employing best practices like Outcome-Based Education (OBE), continuous evaluation, value-added courses, and collaborative learning to enhance student competency. Research and development are encouraged through student-teacher joint publications, internships, and faculty participation in academic and industry events. MCA graduates benefit from placement training each semester, ensuring employability and access to diverse opportunities spanning programming, software development, information systems management, telecommunications, networking, computer science research, web development, multimedia, training & support, and specialized roles in the computer industry.




Program Highlights




Why Choose Us?




Career Opportunities

Graduates can pursue roles such as:




To be a leading center of excellence in Computer Applications education, research, and innovation, producing competent professionals with strong ethical values and societal responsibility.

Mission 1
Provide outcome-based education in computer applications through modern pedagogy, innovative curriculum design, and ICT-enabled teaching aligned with global standards.

Mission 2
Promote applied research, projects, and innovation in emerging areas such as Artificial Intelligence, Data Science, Cloud Computing, and Cybersecurity to address societal and industrial challenges.

Mission 3
Enhance professional competencies and entrepreneurship by fostering collaborations with IT industries, research organizations, and international universities.

Mission 4
Impart professional ethics, social responsibility, and environmental consciousness in students to develop sustainable computing solutions for society

Mission 5
Cultivate adaptability, critical thinking, and lifelong learning habits to prepare graduates for dynamic global careers and leadership in the digital era.

Knowledge
Develop innovative IT applications to meet industrial and societal needs

Skills
Adapt themselves to changing IT requirements through life-long learning

Attitude
Exhibit leadership skills and advance in their chosen career

PSO 1
Understand and apply the computing techniques with mathematics and industrial concepts for solving the real time industrial problems.

PSO 2
Analyse, design, develop, test and maintain the software applications with latest computing tools and technologies.

Foundation Knowledge:
Apply knowledge of mathematics, programming logic and coding fundamentals for solution architecture and problem solving.

Problem Analysis:
Identify, review, formulate and analyze problems for primarily focusing on customer requirements using critical thinking frameworks.

Development of Solutions:
Design, develop and investigate problems with an innovative approach for solutions incorporating ESG/SDG goals.

Modern Tool Usage:
Select, adapt and apply modern computational tools such as development of algorithms with an understanding of the limitations including human biases.

Individual and Teamwork:
Function and communicate effectively as an individual or a team leader in diverse and multidisciplinary groups using methodologies such as agile.

Project Management and Finance:
Use the principles of project management such as scheduling, work breakdown structure and be conversant with the principles of Finance for profitable project management.

Ethics:
Commit to professional ethics in managing software projects with financial aspects. Learn to use new technologies for cyber security and insulate customers from malware.

Life-long Learning:
Change management skills and the ability to learn, keep up with contemporary technologies and ways of working.

1st Semester
Core Subjects Programming and Problem-Solving Using C
Mathematical Foundation for Computer Applications
Object Oriented Programming Using Java
Operating System
Web Application Development
Object Oriented Programming Using Java Laboratory
Web Application Development Laboratory
Non Credit: Communication and Soft Skills
Non Credit: Mathematics for MCA Students
2nd Semester
Core Subjects Machine Learning and Data Analytics using Python
Database Management Systems (DBMS)
Data Structure and Algorithms
Software Engineering
Computer Networks
Database Management System Laboratory
Data Structure and Algorithms Laboratory
Non Credit: Research Methodology and IPR (Online)
3rd Semester
Specializations 1. Data Science and Analytics (A)
2. Web Application Development (B)
3. AI and ML (C)
Project Work
4th Semester
Core Subjects Online Course on Emerging Technology (12 Weeks) (MOOC) / Professional Certification
Technical Seminar
Research Internship / Industry-Internship / Startup Internship

The MCA Department collaborates with IT firms, start-ups, and academic research bodies to offer projects in areas such as software development, data analytics, cloud computing, and AI-powered business solutions.

We provide:
• Skill labs for programming, database management, mobile app development, and full-stack projects.
• Incubation centres to encourage student-led start-ups and product innovation.
• Research guidance aimed at producing outcomes of SCI, Scopus, and UGC Care journal publication quality.

Key Research Areas

1. Software Engineering and Application Development
• Programming in C, C++, Java, Python, and modern frameworks
• Web and mobile application design & development
• Agile methodologies and software quality assurance

2. Cloud Computing and Virtualization
• Cloud platforms (AWS, Azure, Google Cloud)
• Virtualization and containerization (Docker, Kubernetes)
• Cloud-based enterprise application development

3. Data Science and Business Intelligence
• Machine learning and AI applications
• Big Data analytics and visualization tools
• Business intelligence for decision-making

4. Database Systems and Information Management
• Relational and NoSQL database design
• Data mining and warehousing
• Secure and scalable database solutions

5. Emerging Technologies in Computing
• Internet of Things (IoT) applications
• Blockchain for business and finance solutions
• AR/VR and human-computer interaction research

Our Impact:
Our department’s research outcomes are published in reputed computer science and application-oriented journals and presented at national and international conferences. Through interdisciplinary projects and collaborations with small and mid-sized IT companies, we aim to build innovative software solutions, advance data-driven decision-making, and contribute to the evolving landscape of digital transformation.

Collaborate with Us:
We welcome partnerships with academic institutions, startups, IT service companies, and research organizations to co-develop next-generation solutions in software development, cloud computing, data analytics, and emerging technologies.


Faculty

HOD

Dr. Srinivasa Rao K

Professor & HoD

Ms. Nayana B K - Assistant Professor

Ms. Nayana B K

Assistant Professor

Mr. Venkatraja S - Assistant Professor

Mr. Venkatraja S

Assistant Professor

Mr. Jafar Sadiq A M - Assistant Professor

Mr. Jafar Sadiq A M

Assistant Professor