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master of computer applications

Master of Computer Application (MCA) is a postgraduate degree program that focuses on advanced concepts and applications of computer science and information technology. It is designed to provide students with in-depth knowledge and skills in software development, computer networks, database management, web technologies, and data analytics.

The MCA curriculum typically includes advanced courses in programming languages like Java, C#, and Python, software engineering, web development, computer networks, database management systems, data structures and algorithms, artificial intelligence, and machine learning. The program may also include elective courses or specializations based on the institute or university offering the program.

MCA graduates are prepared for various career opportunities in the IT industry, including software development, system analysis, database administration, project management, IT consulting, and research and development. They can also pursue higher education or research in computer science, data science, or related fields.


2 Years

MCA is a postgraduate degree program lasting for 3 years, divided into 4 semesters, focusing on advanced computer science concepts and applications.


Bachelor's degree in CS or related field

BCA/ B.Sc IT/ Bachelor Degree in Computer Science Engineering or equivalent Degree or B.Se./ B.Com./ B.A. with Mathematics at 10+2 level or at Graduation level.. The candidates with non- Mathematical background shall be required to pass bridge course as per the norms with at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.

Program Mode


Our MCA program is offered in a regular mode with full-time classes.

Fee Structure


this is the fee for one year (two semesters), which may be subject to minor additional charges.

programme outcomes

  1. Computational Knowledge

    Apply knowledge of computing fundamentals, computing specialisation, mathematics, and domain knowledge appropriate for the computing specialisation to the abstraction and conceptualisation of computing models from defined problems and requirements

  2. Problem Analysis

    Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

  3. Design /Development of Solutions

    Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

  4. Conduct investigations of complex Computing problems

    Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

  5. Modern Tool Usage

    Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.

  6. Professional Ethics

    Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.

  7. Life-long Learning

    Recognise the need, and have the ability, to engage in independent learning for continual development as a computing professional.

  8. Project management and finance

    Demonstrate knowledge and understanding of the computing and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

  9. Communication Efficacy

    Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.

  10. Societal and Environmental Concern

    Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practices.

  11. Individual and Team Work

    Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.

  12. Innovation and Entrepreneurship

    Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

course structure

Semester - I
S. No.Course Code Course NameCourse TypeCredits
Core Credits (14 Credits)
1.MCA21101CRProgramming with C++CR4
2.MCA21102CRDatabase SystemsCR4
3.MCA21103CRComputer NetworksCR4
4.MCA21104CRAccounting and Management Control4CR
Discipline Centric Elective Courses (8 Credits)
5.MCA21105DCEDiscrete MathematicsDCE4
6.MCA21106DCENumerical TechniquesDCE4
7.MCA21107DCEComputer Architecture and ALPDCE4
OE (2 Credits) For Students of other Departments
8.MCA21101OEFundamentals of ComputersOE
Semester - II
S. No.Course Code Course NameCourse TypeCredits
Core Credits (14 Credits)
1.MCA21201CRData Structures using C++CR4
3.MCA21203CRArtificial IntelligenceCR4
4.MCA21204CRSoftware EngineeringCR4
Discipline Centric Elective Courses (8 Credits)
5.MCA21205DCEWeb ProgrammingDCE4
6.MCA21206DCECryptography and Network SecurityDCE4
7.MCA21207DCEComputer Graphics and MultimediaDCE4
OE (2 Credits) For Students of other Departments
8.MCA21201OEWeb DesigningOE2
Semester - III
S. No.Course Code Course NameCourse TypeCredits
Core Credits (14 Credits)
1.MCA21301CRDesign and Analysis of AlgorithmsCR4
2.MCA21302CRJava ProgrammingCR4
3.MCA21303CROperating SystemCR4
4.MCA21304CRMachine LearningCR2
Discipline Centric Elective Courses (8 Credits)
5.MCA21305DCETheory of ComputationDCE4
6.MCA21306DCEWireless and Mobile CommunicationDCE4
7.MCA21307DCEOrganizational BehaviourDCE4
OE (2 Credits) For Students of other Departments
8.MCA21301OEFundamentals of Programming with COE2
Semester - III
S. No.Course Code Course NameCourse TypeCredits
Core Credits (14 Credits)
1.MCA21401CRProject: Problem IdentificationCR4
2.MCA21402CRProject: Problem AnalysisCR4
3.MCA21403CRProject: DissertationCR6
Discipline Centric Elective Courses (8 Credits)
4.MCA21404DCEProject: In-Home Software DevelopmentDCE4
5.MCA21404DCEProject: In-Home Research ComponentDCE4
6.MCA21406DCEProject: Industrial Software DevelopmentDCE4
7.MCA21407DCEProject: Industrial Research ComponentDCE4
OE (2 Credits) For Students of other Departments
8.MCA21401OEManagement Information SystemOE2