Master of Computer Applications

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The Master of Computer Applications Department was established in the year 2007 with an intake of 60 students. The Department equipped with well qualified and experienced faculty members. The Department has well equipped laboratory facilities with latest and updated versions of the software and 24 hour Wi-Fi enabled.The Department conducts periodic workshops, seminars, symposiums and conferences to help the students, research scholars and corporate world to unite in a common place and thereby strengthen the Industry- Institution fusion. The Department has a very good placement record and our students have got placed in leading companies like Tech Mahindra Ltd, WIPRO Ltd, Info Systems, TCS, Savvy Soft Technologies, Vee Technologies etc. Our Students can become an analyst, system/DB administrators, independent software developers and entrepreneurs.


To be center of excellence through quality innovative teaching and valued added training in computer applications for the development of technologists with the global relevance and ethical standards.


  • To mould the students into competent and creative technocrats to meet the growing global changes.
  • To impart value-based education to the students and enrich their knowledge.
  • To provide necessary strengths to enable the students to innovate and become entrepreneurs through lifelong learning for career advancements.

Salient features of the department:

The Master of Computer Applications department consists of well qualified professionals with extensive teaching experience. Faculty members hold postgraduate and undergraduate degrees from renowned institutions. Provision to apply for Company Incorporation with a pre-approved Company Name. The Department has state of the art infrastructure and computing equipments supported by high speed Ethernet and Wi-Fi networks.

Goals of the Department:


Masters of Computer Application (MCA) is an interdisciplinary program for graduates who want to combine the study of computing and computers at an academic level, but who aren’t majoring in Computer Science The underlying goal of the MCA department is to enable students to understand how computing concepts and their applications are changing the world, and how they can apply those concepts and applications to their specializations. The Institutions operate a fleet of busses to ensure a hassle-free and safety transport for students from various places in Erode, Salem, Karur, Tricy and Namakkal Districts

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Programme’s PEO’s,

  • PEO-1: : Inculcate fundamentals concepts of computer science and applications for solid technical foundations in the field of computer applications.
  • PEO-2: Develop computing skills like the analysis, design and development of innovative software products to meet the industry needs.
  • PEO-3: Pursue lifelong learning and to do research as computing professionals and scientists.
  • PEO-4: Communicate and function effectively in teams in multidisciplinary fields within the global, societal and environmental context.

Programme’s PSO’s,

  • 1: Understand, analyze and develop computer applications in the field of Data Mining / Analytics, Cloud Computing, Networking, Security etc., to meet the requirements of industry and society.
  • 2: Adapt emerging technologies with necessary skills and offer solutions to the problems and succeed in their career.

Programme’s PO’s,

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems
  • Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
  • Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal and environmental considerations.
  • Conduct investigations of complex 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.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work: Function effectively as an individual and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Demonstrate knowledge and understanding of the engineering 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.
  • Project management and finance: Demonstrate knowledge and understanding of the engineering 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.
  • Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Curriculum UG


MA5161MathematicalFoundations for Computer Applications
MC5101Computer Organization
MC5102Problem Solving and Programming
MC5103Database Management Systems
MC5104Data Structures
MC5111Data Structures Laboratory
MC5112Database Management Systems Laboratory
MC5113Communication Skills Laboratory







Teaching Learning Practice

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Laboratory Facility


Advanced Data Structures and Algorithms Laboratory


Python Programming Laboratory


Advanced Database Technology Laboratory


Full Stack Web Development Laboratory


Machine Learning Laboratory


Internet of Things Laboratory


1 620818621301 ABDULAJEESH T Human Computer Interaction in Data Transmission Using Cryptography
2 620818621302 ABINAYA   R Steganography based Data Security on Data Transfer by using Multimedia
3 620818621303 BALAJI J Watermarking Relational Database Using Optimization Technique
4 620818621305 DHIVAKAR   S Hostel Management System
5 620818621306 DINESH M Target Tracking using a Joint Acoustic Video System
6 620818621308 HARIPRIYA C Covid 19 Testing Management System
7 620818621310 KANIMOZHI S Placement And Assistance System In A College
8 620818621313 LOGANATHAN P Indutrial Pipeline and Fitting Breackdown Predition
9 620818621314 MOHANKUMAR T HR Recruit Anlaytics
10 620818621315 NARMATHA   M Mobile Tracker
11 620818621316 PRAVEENKUMAR D L Secure Key Agreement and Key Protection For Mobile Device User Authentication
12 620818621318 PRIYANGA M Online Proxy   Monitering System
13 620818621320 SHALINI   R Personalized Mobile Search Engine [PMSE]
14 620818621321 SOWMIYA P Job Requirements Analysis And Education System Information Using System
15 620818621323 TAMILMANI N College Event Management System
16 620818621325 THAMARAI SELVAM S Online   Higher Educational System Based On Intelligent Recommendation
17 620818621326 VENKATARAMANAN K College Complaint Registration Management System
18 620818621328 VIJAY KUMAR R Neighbor   - Set Routing in Wireless Network


Department Library

S.No. Category Cumulative acquisition as on date
1 No of book titles 25
2 No of book volumes 65


ACADEMIC YEAR 2019 – 2020

Fuzzy and ANN lab

  • To excel in interdisciplinary domains and building Smart technologies IOT plays a vital role in providing solutions to real world problems.

Python Programming

  • To help mastering the students in recent technologies Python programming is inculcated to the students for improving coding skills.

R Tool, Tableau , Tensor flow and Jupyter

  • In order to get exposure in data analytics, Machine learning and AI The world's most popular Data science platform Anaconda is incorporated to get real time experience.


  • To setup Hadoop clusters and handling huge volume and variety of data through Hadoop ecosystem
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