Computer Applications

The ASIET Master of Computer Applications (MCA) program teaches students research and innovation skills. Students are immersed in cutting-edge technology and taught a transdisciplinary, application-oriented approach to tackling real-world challenges. The Department of Computer Application has a diverse group of motivated researchers in emerging fields like Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Internet of Things (IoT) and smart systems, Image Processing, Augmented Reality/Virtual Reality, Big Data Analytics, Network Security, Mobile Ad Hoc Networks, Distributed Algorithms, Nature-Inspired Algorithms, and Processor & Architecture Study. Three well-equipped research labs—Multimedia, Data Analytics, and Bioinformatics—serve student research needs. These labs let students solve societal issues in real time. The MCA department is built on highly trained teachers who are research and innovation-oriented. They mentor students to take more courses to gain industry-ready skills. Students can practice their practical skills in well-equipped labs.ASIET instructors and facilities strive to offer students the finest placement chances. Research labs also encourage students to pursue further education and participate in R&D.


Nurturing globally competent computing professionals with innovation,Research, entrepreneurship skills and social commitment.


  • Quality education with industry collaboration and excellence in teaching learning process

  • Provide cogent academic environment for research , innovation  and entrepreneurship 

  • Inculcating socially committed professionals for the  development of society

Department Advisory Board

Will be updtaed soon

The Department of Computer Applications offers

National and International Student Chapters

Program Specific Outcomes (PSO)

PSO1: Upon completing this program, graduates will possess the ability to apply computing techniques and software technological in one or more core application areas such as full stack development and bigdata analysis.

PSO2: Upon completion of this program, graduates will possess enhanced ability in the current trends in industry and research while maintaining a commitment to ethical -and social values.

Programme Outcome (PO)

Computer Application Graduates will be able to:

PO1. Computational Knowledge: Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.

PO2. 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.

PO3. 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.

PO4. 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.

PO5. 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.

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

PO7. Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

PO8. 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.

PO9. 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.

PO10. 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.

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

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

The professors in the MCA department are dedicated professionals with extensive experience in academia, research, and industry. They hold degrees from prestigious institutions. We provide both faculty members and students access to an outstanding learning environment that fosters productivity and innovation.

Faculty Details
Application Development Lab
Network Programming Lab
Programming Language Lab
System Internals Lab
Seminar Hall
Multimedia & Research Lab
Bio-Informatics & Research Lab
Data Analitics & Research Lab
Computer Applications

Research initiatives of the Department are pioneering in disciplines such as data mining, image processing, data science, artificial intelligence, and cybersecurity. In order to remain current with technological advancements, the laboratories of the department are furnished with state-of-the-art apparatus that has applications across various industries.Our MCA students initiate their research endeavours in the initial semester, guided by their individual interests, thus elevating the standards of research.

  • 9 students from MCA 2023–'24 Batch has successfully completed NPTEL MOOC Course offered by IIT Madras


  • Dr Sneha Prakash successfully completed NPTEL MOOC Course offered by IIT Madras
  • Two of our faculty members (Dr.Hari Narayanan A G and Dr Sneha Prakash) served as the reviewer in ICCIDT2K24 Scopus conference hosted by Mangalam College of Engineering, Kottayam
  • Two of our faculty (Dr. Srikrishnan Sundararajan and Dr.Hari Narayanan A G)  members published total 5 papers on which 3 papers in Scopus indexed journal and 2 in IEEE conference.
  • Two of our faculty members (Dr Sneha Prakash and Dr Vincy Devi V K ) submitted and got acceptance for papers in IEEE conference.
  • Two of our faculty members  (Dr Sneha Prakash and Dr Vincy Devi V K ) completed workshop on Automate EC2 with CloudWatch Monitoring offered by NPTEL IIT Madras
  • Three of our Faculty members (Dr.Hari Narayanan A G,Dr Sneha Prakash and Dr Vincy Devi V K )have participated in Twelve Days Faculty Development Programme on Developing Human Potentials in Emerging Technologies in Computer Science organized by School of Computer Science, Kongunadu Arts and Science College (Autonomous)