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  • Faculty

    Faculty of Engineering and Technology

  • Campus

    Technology Campus (Peenya Campus)

  • Engagement Mode

    Full Time

Overview

The 2-year Master of Computer Applications (MCA) degree is in demand because it provides advanced, industry-relevant knowledge in areas like software development, data science, artificial intelligence, machine learning and cybersecurity, equipping graduates with specialized skills for high-paying roles in the tech sector. This shorter, intensive program allows students with foundational computer science knowledge to quickly upskill and pursue advanced career opportunities. Additionally, the MCA degree is recognized by employers across industries, as companies increasingly need skilled professionals to drive digital transformation and innovation. It offers the NEP-2020 aligned curriculum with focus on Industry 4.0. The program is approved by the All India Council for Technical Education (AICTE), New Delhi.

Program Objectives

  • - A renowned establishment with a 62-year history
  • - Accredited with NAAC A+ and ranked by NIRF
  • - State-of-the-art computing facilities
  • - Opportunity to upskill by the exclusive Ramaiah Skill Academy.
  • - Opportunity for placements with higher package in the IT industry.

Curriculum Details

2025-26

Sl. No. Course Type Course Name Theory Tutorials Practical Max Marks Total Credits
1 PCC Mathematical Foundation for Computer Applications 3 1 0 100 4
2 PCC Operating Systems 3 0 2 100 4
3 PCC Data Structures with Algorithms 4 0 0 100 4
4 PCC Computer Networks 3 0 0 100 3
5 PCC Design and Analysis of Algorithms 3 1 0 100 4
6 PCC Data Structures Laboratory 0 0 4 100 2
7 PCC Computer Networks Laboratory 0 0 4 100 2
8 PCC Research Methodology and IPR 2 0 0 100 2
9 PCC Programming in C & Computer Organisation 2 2 0 100 0
Total 20 4 10 900 25
Total number of contact hours per week: 34

Sl. No. Course Type Course Name Theory Tutorials Practical Max Marks Total Credits
1 PCC Database Management System 3 0 0 100 3
2 PCC Object Oriented Programming Using Java 3 0 0 100 3
3 PCC Software Engineering 4 0 0 100 4
4 SEC Full Stack Development 3 0 2 100 4
5 SEC Artificial Intelligence and Machine Learning 4 0 0 100 4
6 PEC Professional Elective-1: Distributed Computing / Cloud Computing 4 0 0 100 4
7 PCC DBMS Laboratory 0 0 4 100 2
8 PCC Java Programming Laboratory 0 0 4 100 2
9 PCC Internship 0 0 12 100 6
Total 21 0 22 900 32
Total number of contact hours per week: 44

Sl. No. Course Type Course Name Theory Tutorials Practical Max Marks Total Credits
1 SEC Data Analytics with Python 3 0 0 100 3
2 SEC Internet of Things 3 0 0 100 3
3 PEC Professional Elective-2: Deep Learning / Natural Language Processing 4 0 0 100 4
4 PEC Professional Elective-3: Blockchain Technology / AI for Healthcare 4 0 0 100 4
5 SEC User Interface Design 4 0 0 100 4
6 SEC Cyber Security 3 0 2 100 4
7 SEC Data Analytics Lab 0 0 4 100 2
8 SEC IoT Laboratory 0 0 4 100 2
9 PCC Project Work - Phase 1 0 0 4 100 2
Total 21 0 14 1000 28
Total number of contact hours per week: 35

Sl. No. Course Type Course Name Theory Tutorials Practical Max Marks Total Credits
1 PCC Project Work - Phase 2 0 0 40 200 20
Total number of contact hours per week: 40

Sl. No. Course Name
1 Distributed Computing
2 Cloud Computing
3 Deep Learning
4 Natural Language Processing
5 Blockchain Technology
6 AI for Healthcare

Eligibility Criteria

Graduates with a bachelor's degree from an recognized institution in any BCA/ Bachelor Degree in Computer Science or Engineering or equivalent degree or B.Sc/B Com/BA with Mathematics at 10+2 level or at Graduation level (with additional bridge courses as per the norms of concerned University and a minimum aggregate score of 50%.

Admission selection process for will be based on RUAS AT scores, and CUET-PG/KMAT/PGCET scores are also accepted and RUAS AT will be exempted for these candidates.

Career Path

  • The two years MCA program is well-accepted and recognized by the industry for its various roles like Software Developer, Data Scientist, Machine Learning (ML) Specialist, Artificial Intelligence (AI) Engineer, Cloud Architect, Web Developer, Software Engineer, Business Analyst, Network Engineer, Quality Assurance Professional, Application Developer, Cyber Security Analyst and Test Engineer.

Admission 2025

ADDRESS

University House, New BEL Road, MSR Nagar, Bengaluru - 560054