Master of Computer Applications (MCA)
Admission Queries
| Mrs. Jaya Thomas : 8884982277 | Mr. Bhagyanathan : 8971192474 |
| email : jncpgcourses@gmail.com |
The Master of Computer Applications (MCA) is a two-year postgraduate programme designed to provide an industry-focused education in applied computer science. It equips students with advanced technical knowledge, problem-solving abilities, and practical exposure through real-world projects, preparing them for careers in leading tech companies.
• Specialization Electives: Data Science / AI and ML / Full Stack / Cybersecurity
• Learning is enhanced through interactive sessions, including presentations, simulations, assignments, group discussions, and hands-on practical.
• Conferences, seminars, workshops and expert talk to keep students updated on emerging IT trends.
• A skill-based learning approach with hands-on projects and research opportunities with platforms for research publications and conference presentations.
• Placement training to enhance employability and industry readiness.
Eligibility Criteria:
• Candidates must hold a BCA/Bachelor’s degree in Computer Science, Engineering, or an equivalent discipline.
OR
• Candidates with a B.Sc./B.Com./B.A. degree must have studied Mathematics at the 10+2 level or during graduation (with additional bridge courses as per university norms).
• A minimum of 50% marks in the qualifying examination is required.
Candidates must qualify through one of the following entrance exams:
• Post Graduate Common Entrance Test (PGCET) conducted by the Karnataka Examination Authority
OR
• Karnataka Management Aptitude Test (KMAT) conducted by the Karnataka Post Graduate Private Colleges’ Association
Semester I
Operating System with Linux
Data Structures
Mathematical Foundations for Computer Science
Database Management System
Object Oriented Concepts using Java
Problem Solving Techniques
Semester II
Design and Analysis of Algorithms
Artificial Intelligence
Computer Networks
Software Engineering Methodologies
Professional Elective I
Exploring Python
Semester III
Cloud Computing with DevOps
Professional Elective II
Professional Elective III
Specialization Project
Research Methodology
Open Elective
Semester IV
Advanced DBMS Concepts
Software Testing
Internship Project
Artificial Intelligence & Machine Learning |
Data Science |
Full Stack Web Development |
Cybersecurity |
Machine Learning Techniques# |
Statistical Methods for Data Science# |
Web Technologies Essentials# |
Cybersecurity Essentials and Threat Management# |
Computer Vision |
Data Analytics |
Client-Side Web Programming |
Vulnerability Assessment |
Natural Language Processing |
Data Visualization Techniques |
Server-Side Web Programming |
Web Application Security |
Deep Learning Techniques |
Multivariate Techniques |
Web Analytics and Data Visualization |
Digital Forensics and Incident Response |
| YEAR | I Year |
|---|---|
| PGCET | 1,12,000/- |
| INSIDE KARNATAKA | 1,40,000/- |
| OUTSIDE KARNATAKA | 145,000/- |
The MCA programme integrates strong theoretical foundations, specialization tracks, project-based learning, and extensive practical training to prepare students for industry-ready IT careers.
Core Computing Foundation : Students build expertise in Programming, Data Structures and Algorithms, Databases, Computer Networks, and Software Engineering, strengthening analytical and problem-solving abilities.
Specialization Tracks : Industry-focused specializations in Data Science, AI & ML, Cybersecurity, and Full-Stack Development enable students to gain in-depth domain knowledge through real-time projects.
Project-Based Practical Training : Each semester includes four practical papers, ensuring continuous hands-on learning, skill enhancement, and application of theoretical concepts.
Industry Internship : The final semester features a mandatory industry internship, offering professional exposure and real-world IT project experience.
This comprehensive curriculum ensures MCA graduates are industry-ready with the technical expertise, practical skills, and professional experience needed for successful IT careers.
Upon successful completion of the MCA programme, graduates will be able to:
• Apply computing principles and domain knowledge to develop software solutions for real-world problems.
• Analyze, design, and develop scalable and efficient software applications using modern technologies.
• Utilize industry-relevant tools, frameworks, and methodologies to build innovative IT solutions.
• Demonstrate ethical, social, and cybersecurity awareness in professional computing environments.
• Collaborate effectively within teams and communicate technical ideas clearly.
• Adapt to evolving technologies and commit to lifelong learning for professional development.
Graduates can pursue roles such as:
• Data Analyst
• Research Associate
• AI/ML Engineer
• Web Analyst
• Cloud Engineer
• Software Developer
• Web Developer
• UI/UX Designer
• Software Engineer
• Cybersecurity Analyst
• Digital marketing
• Database Manager
• Network Administrator
• DevOps Engineer
• Corporate Trainer
• Teachers / Assistant Professors
• Entrance Exam
• Personal interview