Master of Computer Application Courses | MCA Programme | MCA University/College in Bangalore

MCA | Master in Computer Applications

Postgraduate program focused on advanced study in computer applications and software development.

Covers subjects such as advanced programming languages, software engineering, database management, networking, and mobile application development.

Emphasizes practical skills in software development and project management

Includes projects and internships to gain hands-on experience.

Taught by experienced faculty with expertise in computer applications.

duration

2 years (4 Semesters)

Programme type

Full time

Programme Regulations

Eligibility Criteria

Candidates should have passed with a minimum of 50% marks (45% for SC/ST candidates) in any Bachelor’s Degree or an equivalent examination from a recognised university, preferably with mathematics at the 10+2 level or at the graduate level. Candidates must also have taken either the PGCET or any other entrance examination.

Key Features

Offering advanced knowledge in software development, database systems, and computer architecture.
Developing expertise in designing and managing complex IT systems and applications.
Providing practical experience in solving real-world IT problems using advanced programming techniques.
Preparing graduates for leadership roles in software engineering, IT project management, and system design.
Encouraging innovation, entrepreneurship, and research-oriented thinking in IT solutions.
Preparing students for specialised roles in fields like AI, data science, cybersecurity, or for doctoral research and academic careers.
Promoting teamwork, communication, and project management skills through collaborative projects and internships.
Emphasising ethical IT practices and the importance of data security, privacy, and digital responsibility in professional roles.

Scope and Objectives

An MCA (Master of Computer Applications) is a postgraduate degree that offers advanced training in software development, computer architecture, networking, and system design. The scope of an MCA is broad, preparing graduates for leadership roles in software engineering, systems management, and IT project management. Professionals with an MCA can work in software development companies, IT consultancies, banks, and research organizations. With a strong focus on both theoretical knowledge and practical skills, an MCA graduate is equipped to handle complex software and systems issues. The degree also serves as a gateway to specialized roles in fields like AI, cybersecurity, and data science, as well as academic and research positions.

To offer advanced knowledge in software development, database systems, and computer architecture.
To develop expertise in designing and managing complex IT systems and applications.
To provide practical experience in solving real-world IT problems using advanced programming techniques.
To prepare graduates for leadership roles in software engineering, IT project management, and system design.
To encourage innovation, entrepreneurship, and research-oriented thinking in IT solutions.
To prepare students for specialized roles in fields like AI, data science, cybersecurity, or for doctoral research and academic careers.
To promote teamwork, communication, and project management skills by engaging students in collaborative projects and internships.
To emphasize ethical IT practices and the importance of data security, privacy, and digital responsibility in professional roles.

Programme Structure

The computer science syllabus for each semester is as given below:
The computer science program at CMR University is ranked highly and is often compared to the top computer science engineering colleges in Karnataka.

SEMESTER I

Relational Database Management Systems
Advanced Data Structure using C
Industry Oriented Software Engineering
Operating Systems
Probability & Statistics
SQL and NOSQL Databases Lab
Data Structure Lab
Elective -I
Elective -II
Common Core

SEMESTER II

Machine Learning using Python Programming
Network Information Security
Design and Analysis of Algorithms
Advanced Java Programming
Java Programming Lab
Discipline specific elective – 2
Discipline specific elective – 3
Discipline specific elective – 4
Discipline specific elective – 5
Common Core
Community Internship Project (CIP)

SEMESTER III

Mobile Application Development
Cloud Architecture and Design
Data Warehousing and Data Mining
Data Warehousing and Data Mining Lab
Discipline specific elective – 6
Discipline specific elective – 7
Discipline specific elective – 8
Discipline specific elective – 9
Summer Internship Project (Mini Project)
Interdisciplinary -1
Common Core

SEMESTER IV

Research/Technical paper
Elective -I
Elective -II
Interdisciplinary -2
Interdisciplinary -3
Capstone Project

Semester-I

Object-Oriented Modeling and Design
Artificial Intelligence and Neural Networks
Object-Oriented Modeling and Design Lab
Artificial Intelligence and Neural Networks Lab

Semester-II

Data Analytics
Software Testing & Quality Assurance
Data Analytics Lab
Software Testing Lab
Advanced Web Technology
NET Framework and Applications
Advanced Web Technology Lab
.NET Framework and Applications Lab

Semester-III

Internet Of Things
Big Data Analytics Using R
Internet Of Things Lab
Big Data Analytics Using R Lab
Public Cloud – AWS, Azure and Google
Distributed and Parallel Computing
Public Cloud – AWS, Azure and Google Lab

Semester-IV

Data Visualisation
Cloud Managed Services
Data Visualisation Lab
Cloud Managed Services Lab

Programme Assessment

Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance
Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.
Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.
Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.
Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.
Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.
Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE.
Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.

Programme Outcome

Computational Knowledge: Ability to apply knowledge of Mathematics, Computing Fundamentals and Specialization.
Problem Analysis: Ability to identify, formulate and analyze complex computing Problems.
Design/Development of Solutions: Ability to design, solve and evaluate solutions for complex computing problems.
Conduct investigations of complex computing problems: Ability to conduct systematic investigations of systems and data during design & development to derive valid conclusions.
Modern Tool Usage: Ability to use the techniques, skills, and modern tools necessary for complex computing techniques.

What expertise will you gain?

Advanced programming skills in languages such as Java, C#, or Python

Knowledge of software engineering principles and methodologies

Proficiency in database management systems and SQL

Understanding of computer networks and cybersecurity

Project management and software development lifecycle skills

Career Opportunity

Software developer
Database administrator
Systems analyst
Software engineer
IT project manager
Mobile application developer

Placements at

CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

Testimonials

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."