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About Master of Computer Applications

Department of Master of Computer Applications

  • Started in the year 1997

  • Affiliated to Visvesvaraya Technological University, Belagavi

  • Received academic autonomy in year 2016

  • Approved by All India Council for Technical Education (AICTE), New Delhi

  • Accredited by National Board of Accreditation (NBA) for third time till June 2019

  • Top Rank PGCET Admissions, Intake in first year is 120 students and 20% intake as lateral entry to 3rd semester

  • The students have secured 14 ranks in University since 2002

  • 100% placement opportunities to the students and have a track record of 80% placement in the past three years and 96% internships during the final semester. Salary package of the students is around 12 lakh per annum (maximum) and an average salary of 4 lakh per annum. The major recruiters of MCA include Accenture, Sapient, IBM, Infosys, CTS, Cerner, Informatica, Wipro, Thoughtworks and many other IT companies

  • The Department has academic initiatives with IBM, Cognizant Technology Solutions for Free and Open Source Software and Campus Connect Program by Infosys Technologies

  • 14 Ph.D. holders among faculty members and efficient faculty retention and Published 61 papers in International Journals and 52 papers in International/National Conferences in the last 5 years.

  • Completed Research and consultancy projects sanctioned by NRB, DRDO, CSI and other sources for Rs.90.816 lakhs and has ongoing research projects for Rs. 29 lakhs

  • Pioneered Open Source Software usage in and around RVCE campus and development of applications

Academic programmes offered

PG Programme

  • Master of Computer Applications (MCA) with approved intake of 120 students and 20% intake of lateral entry for second year MCA

  • Duration : Three years extended over 6 Semesters

  • Eligibility for Admission

    • Candidates with Bachelors Degree having not less than 50% of marks in the aggregate of all the years of the degree examinations. However in case of candidates belonging to SC / ST / Cat -1, aggregate percentage of marks of all the years of the qualifying examination shall not be less than 45%

    • Provided the candidate shall have passed Bachelors degree with not less than 50% marks with mathematics or statistics or computer science or computer programming or computer applications or business mathematics or business statistics as one of the optional / elective subjects. However in case of candidates belonging to SC / ST / Cat -1, the marks shall not be less than 45%

    • Provided further that in respect of the candidate who has studied and passed one of the subject specified above in Pre University with 50% of marks in that subject shall also be considered for admission. However in case of SC/ST/ Cat -1, 45% of marks in that subject shall be eligible for Admission

Admission Procedure

  • Students have to write Eligibility test PGCET (Government Quota for Karnataka Students)/ CMAT / KMAT (Management Quota for all students) conducted by KEA / AICTE / KPPGCA respectively every year and notified separately by each organization

URL’s

PGCET: www.kea.kar.nic.in

CMAT: www.aicte-cmat.in

KMAT: www.kmatindia.com

Research Programme

  • Ph.D (Computer Applications) / M.Sc (Engg): Approved Research Center under Visvesvaraya Technological University, Belagavi

  • Started in 2011

VISION

Pioneering in ICT Enabled Quality Education and Research with a Focus on Sustainable and Inclusive Applications

MISSION

  • To adapt novel methodologies for quality education through experiential learning

  • To empower students with continuous, holistic education, emphasizing on discipline, ethics and social commitment

  • To become a vibrant knowledge center for research and software development

  • To continuously build capacity steering towards industry- institute collaborative research and entrepreneurial competencies

  • To utilize and develop free and open source software tools for sustainable and inclusive growth

Program Educational Objectives (PEO)

The MCA graduates will be able to

PEO 1 : Practice software engineering principles and standards to develop software to meet customer requirements across verticals

PEO 2:  Contribute to build sustainable and inclusive applications using mathematical, simulation and meta-heuristic models

PEO 3:  Demonstrate entrepreneurial qualities through individual competence and team work

PEO 4:  Achieve successful professional career with integrity and societal commitments leading to lifelong learning

Program Outcomes (PO)

On completion of the MCA Programme, MCA graduate acquire competencies to:

PO1: Computational Knowledge: Acquire in-depth computational knowledge and mathematics with an ability to abstract and conceptualise models from defined problems and requirements

PO2: Problem Analysis: Identify, formulate, conduct literature survey and solve complex computing problems through analysis as well as provide optimal solutions

PO3: Design / Development of Solutions: Design and evaluate solutions for complex problems, components or processes that meet specified needs after considering public health and safety, cultural, societal, and environmental factors

PO4: Conduct investigations of complex Computing problems: Conduct literature survey to analyse and extract information relevant to unfamiliar problems and synthesise information to provide valid conclusions and interpret data by applying appropriate research methods, tools and design experiments

PO5: Modern Tool Usage: Create, select, adapt and apply appropriate techniques, resources and modern IT tools to complex computing system activities, with an understanding of the limitations

PO6: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices

PO7: Life-long Learning: Engage in lifelong learning independently for continual development to improve knowledge and competence as a computing professional

PO8: Project management and finance: Demonstrate knowledge and understanding of management principles and apply these to multidisciplinary software development as a team member and manage projects efficiently as a leader considering economical and financial factors

PO9: Communication Efficacy: Understand and communicate effectively with the computing community and with society at large, regarding complex computing systems activities confidently and effectively by writing effective reports and design documentations by adhering to appropriate standards, make effective presentations and give / receive clear instructions

PO10: Societal and Environmental Concern: Understand responsibilities and consequences based on societal, environmental, health, safety, legal and cultural issues within local and global contexts relevant to professional computing practices

PO11: Individual and Team Work: Function effectively as an individual, as a member or leader in diverse teams in multidisciplinary environments

PO12: Innovation and Entrepreneurship: Identify a timely opportunity for entrepreneurship and use innovation to pursue and create value addition for the betterment of the individual and society at large

Program Specific Criteria (PSC)

The MCA programme will enable the students, by the time they graduate to

PSC1: Explain the principles of mathematics, computing and business foundations

PSC2: Demonstrate the use of software tools and technologies relevant to various verticals

PSC3: Design and develop software products, processes and systems for real world situations

Program Specific Outcomes (PSO)

MCA graduates will be able to:

PSO1: Solve real world computing system problems of various industries by understanding and applying the principles of mathematics, computing techniques and business concepts

PSO2: Design, test, develop and maintain desktop, web, mobile and cross platform software applications using modern tools and technologies

Outline of the Program Structure

The MCA programme is a professional PG programme comprising of 6 semesters inclusive of one full semester project internship in industry / institute. The curriculum consists of computer science core subjects like Data structures, Operating systems, Computer Networks, Unix System Programming and Databases, Mathematics and Management. Students can choose their area of interest as electives including Data mining, Operation Research, Pattern Recognition, Cloud Computing, Mobile applications and so on. The following charts represents the blend of subjects of different skill areas in the 2016 autonomous scheme and 2013-16 VTU curriculum.

                     

                                                                MCA Autonomous Scheme(2016 onwards)    

 

                     

                                                                MCA Course Structure (2013 onwards)

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