Master of Computer Applications

Program Overview

The Department of Master of Computer Applications (MCA) at PES College of Engineering, Mandya, was established in 1992 and is recognized as one of the earliest departments in Karnataka to introduce a postgraduate program in Computer Applications. The department offers a Master of Computer Applications (MCA) program, thoughtfully designed to build a strong foundation in core computer science principles and modern software practices.

Initially introduced as a three-year program, the MCA course was restructured into a two-year format from the academic year 2020–2021, aligning with national academic reforms. The program is affiliated to Visvesvaraya Technological University (VTU), Belagavi, and is approved by the All India Council for Technical Education (AICTE), New Delhi.

Operating under autonomous status, the department possesses the academic flexibility to regularly revise its curriculum, ensuring it remains relevant and responsive to evolving industry trends and technological advancements.

The department has been accredited by the National Board of Accreditation (NBA) for a period of two years (2025–2028), affirming its commitment to quality education and continuous improvement.

Total Intake

60

Program Type

PG

Duration

2 Years

Vision

"A Department of high repute imparting quality education to develop competent computer application software professionals and technocrats to serve the society."

Mission

  • Provide state-of-the-art facilities with supportive environment for teaching and learning
  • Prepare the students with curricula of industry expectation.
  • Train the students to be competent to solve the real world problems in the field of computer Applications and nurturing the students with ethical values for well being in the society.

Program Educational Objectives (PEOs)

Graduates of the program will be able to

  • PEO-1: Deliver competence in a global environment as computer software professional with practice of software engineering principles.
  • PEO-2: Exhibit Technical and managerial skills to provide solutions for societal acceptable problems and manage projects.
  • PEO-3: Excel in profession with effective communication skills, ethical attitude, team work and ability to relate computer applications to broader societal context

Program Outcomes (POs)

Graduates of the program will be able to

  • PO1 (Foundation Knowledge): Apply knowledge of mathematics, programming logic and coding fundamentals for solution architecture and problem solving.
  • PO2 (Problem Analysis): Identify, review, formulate and analyse problems for primarily focussing on customer requirements using critical thinking frameworks.
  • PO3 (Development of Solutions): Design, develop and investigate problems with an innovative approach for solutions incorporating ESG/ SDG goals.
  • PO4 (Modern Tool Usage): Select, adapt and apply modern computational tools such as development of algorithms with an understanding of the limitations including human biases.
  • PO5 (Individual and Teamwork): Function and communicate effectively as an individual or a team leader in diverse and multidisciplinary groups. Use methodologies such as agile.
  • PO6 (Project Management and Finance): Use the principles of project management such as scheduling, work breakdown structure and be conversant with the principles of Finance for profitable project management.
  • PO7 (Ethics): Commit to professional ethics in managing software projects with financial aspects. Learn to use new technologies for cyber security and insulate customers from malware
  • PO8 (Life-long learning): Change management skills and the ability to learn, keep up with contemporary technologies and ways of working.

NBA

Program Name Duration Start End
Master of Computer Applications (MCA) 02 Years 01-08-2025 30-06-2028

Name of the Research Guide Phone Number Email-Id
Dr. H.P.Mohan Kumar 9448554113 mohankumar@pesce.ac.in
Dr. Veena M N 9845142764 veenadisha1@pesce.ac.in
Dr H.R.Divakar 9972023370 divakarhr@pesce.ac.in

Name Guide Name Title of Research Date of Final Viva Completed
Dr. H.P. Mohan Kumar Dr. H.S. Nagendra Swamy Some symbolic approaches for Human Gait Recognition 09/03/2015
Dr.M.N. Veena Dr.T. Vasudev Knowledge drives Approaches for automatic detection and recognition of registration number for road vehicles in India 07/05/2016
Dr.H.R. Divakar Dr.B.R. Prakash A Novel approach to Design a Domain Specific Deep Learning ontology 10/04/2021

Guide/ Co-Guide Research Scholar Title Status
Dr. H.P. Mohan Kumar Shalini patel Scene retrieval text to image using GAN Course work completed
Dr. H.P. Mohan Kumar Reshma S G Building robustic design pattern in software Automation Testing Framework Course work completed
Dr. M N Veena Rajini S A Novel approach for classification of Ayurvedic medicinal plants using image processing techniques Thesis correction going on
Dr. M N Veena Sowmyshree K M A Heuristic Approach to Irrigation Planning for Crop Yield Prediction in Agriculture Planning to take open seminar 1
Dr. M N Veena Prabhakar T S Analyzing the anomalous behaviour of mobile networks using data analytics Ph.D Awarded
Dr. M N Veena Shilpa H L Prediction of Knee Osteoarthritis using Radiographic images Course work completed and Ongoing research work
Dr. M N Veena Anil kumar R. J Gene Expression data analysis using machine learning techniques for classification of diseases Coursework Successfully completed and permanent registration obtained. Three objectives have been accomplished, with plans to submit the thesis by March 2025
Dr. M N Veena Rashmi T Sentence based approach for sentiment analysis in Kannada Coursework Successfully completed and permanent 9registration obtained. Three objectives have been accomplished, with plans to submit the thesis by March 2025
Dr. M N Veena Emad Mohammaed Ali Qais Text Analytics for making Business Decisions and Improve customer experience Coursework Successfully completed and permanent registration obtained. Three objectives have been accomplished, with plans to submit the thesis by March 2025
Dr. M N Veena Sangeetha R Smart contract vulnerability: Analysis, Detection and Testing in Blockchain Technology Coursework Successfully completed and permanent registration obtained. Three objectives have been accomplished, with plans to submit the thesis by March 2026
Dr. H. R. Divakar Pavithra. T. S A Novel Approach to predict various cancers using deep learning Techniques Course Work Under Progress
Dr. H. R. Divakar Vidyalakshmi. M. V Ontology driven deep learning approach to predict multimorbidity Course Work Under Progress
Dr. H. R. Divakar Chandan M N Detection and Classification of ACL and Meniscus tear through MRI using Artificial Intelligence Course Work Under Progress

Detailed Publication ReportClick Here

Application Number Application Date Title Faculty Status Grant Date
2021100210 31/01/2021 IoT Based Virtual Students Monitoring System by Using TF Plus Mini Lidar Sensor Dr. H R Divakar Completed 31/03/2021
202441026393 30/03/2024 Identification of Plastic under water using echo sounding Dr. H P Mohan Kumar, Dr. M N Veena, Dr. H R Divakar, Prof . K M Sowmyashree, Prof. H L Shilpa, Prof . B M Bhavya, Prof . M N Chandan, Prof. Meghana B S Completed 12/04/2024
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PES MANDYA
PES MANDYA
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