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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 fourth time for five years - 2021-2022 to 2025-2026

  • Top Rank PGCET Admissions, Intake in first year is 120 students

  • 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 6.5 lakh average per annum and maximum is 25 lakh in the year 2019-20 ongoing placement activity. The recruiters of MCA include JSOL, Accenture, Cisco, JPMorgan, Sapient, IBM, Infosys, CTS, Cerner, Mcafee, Endurance, National Instruments, Texas instruments,  CloudThat, Whatfix, Covance, CME group, Tally solutions, Dvara, Smartly built,  Thoughtworks and many other IT companies

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

  • 17 Ph.D. holders among faculty members and efficient faculty retention and Published 100 plus publications in international journals/ conferences in the last 5 years.

  • Completed Research and consultancy projects sanctioned by NRB, DRDO, CSI and other sources around 1 Crore and has ongoing research projects for Rs. 25 lakhs

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

National Conference Organized

The Department of Master of Computer Applications from RV College of Engineering®, Bengaluru, organized AICTE sponsored National Conference on “Critical Thinking for GenZ-Multidisciplinary Approach (CTGZMA)” in Association with ISTE, New Delhi, during 28 - 29 October 2021. The event is financially sponsored by the AICTE under the Grants for Organizing Conferences (GOC). The conference emphasized on current and important aspect of NEP 2020- Critical Thinking.

The conference was inaugurated by Prof. Anil D.Sahasrabudhe, Chairman, and AICTE in the presence of Dr. Pratapsinh Kakaso Desai, President, ISTE, Dr. K. N Subramanya, Principal, RVCE, Dr. Andhe Dharani, Director-MCA, Conference General Chair, Dr. Shanmukha Nagaraj, Dean Academics and Dr. Jasmine. K. S, the conference coordinator.

Academic programmes offered

PG Programme

  • Master of Computer Applications (MCA) with approved intake of 120 students

  • Duration : Two years extended over 4 Semesters

  • Eligibility for Admission

    • Candidate should have

                              Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree.

                              OR

                             Passed B.Sc./ B.Com./ B.A. with Mathematics at 10+2 Level or at Graduation Level

  • Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination

  • Any other norms as per VTU

                

Admission Procedure

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

URL’s

PGCET: www.kea.kar.nic.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

Outline of the Program Structure

The MCA programme is a professional PG programme comprising of 6 semesters (still upto 2020 admission)  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.

                      

                                                         

 

 

      

                     

                                                             

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