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M.C.A.

Programme Outcomes


PROGRAM OUTCOME (PO)

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 practice.

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 practice.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 90

Code No.Code No.CourseHours/Week
LectureTutorialPracticalCredits
CORE20CMCA11Mathematical Foundations of Computer Science4105
CORE20CMCA12C Programming and Data Structures4105
CORE20CMCA13Relational Database Systems4004
CORE20CMCA14Operating Systems3003
CORE20CMCA15Software Engineering3003
SECSoft skill/Personality Development2002
CORE20PMCA11C Programming and Data Structures Laboratory0042
CORE20PMCA12Relational Database Systems Laboratory0042
202826

View full course curriculum

 

 

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
MCA - 2 years2 Years (4 Semesters)BCA / Bachelor’s Degree in Computer Science Engineering or
Equivalent degree
(or)
B.Sc. / B.Com. / B.A./ B.B.A with Mathematics at +2 Level or at Graduation Level (with additional bridge Course as per the norms of the concerned University)
Merit based on Vels Entrance examination score and Merit based on percentage of marks secured in the qualifying examination

Career Prospects

CAREER PROSPECTS

 

  • Software Developer
  • Database Engineer
  • Web Designer
  • Cloud Architect
  • Data Scientist
  • Data Analyst
  • Chief Information Officer
  • Computer Programmer
  • Computer Scientist
  • Computer Systems Analyst
  • Database Administration
  • Information Systems Manager
  • Web Developer

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
40,00033,00073,000

Faculty of the Department

Sl. No.
Name of the Faculty
Designation
Educational Qualification
Area of Specialization
Experience in Years
Vidwan IDPhotos
1Dr.Priya Anand.RProfessor and HeadMCA., M.Phil.,Ph.D.,Data Mining, Information Security , Big Data23 years 6 months234291
2Dr.Prasanna.SProfessorMCA., M.Phil.,Ph.D.,Image Processing & Operating System23 Years 3months232536
3Dr.Jayalakshmi.VProfessorMCA., M.Phil., NET., SET., Ph.D.Wireless Network, Image Processing & Data Mining and Big Data23 years-
4Dr.Poonguzhali.SAssociate ProfessorMCA., M.Phil.,Ph.DData Mining, Data Science & Big Data, ML16 years 5 months249916
5Dr.Sumalatha.VAssociate ProfessorMCA.,M.Phil(CS)., Ph.D.,SET.Machine Learning , Cloud computing, Data Science, Image Processing17 years 1 month234081
6Dr.Meenakshi.CAssociate ProfessorM.C.A., M.Phil., Ph.D.,Artificial Intelligence - NLP, ML18 years 1month182243
7Dr.Mahalakshmi.RAssociate ProfessorM.C.A., M.Phil., Ph.D.,Data Science, AI, ML, Deep Learning20years 5 months468022
8Dr.Prabakaran.PAssistant ProfessorM.C.A., M.Phil., Ph.D.,Data Mining, Data Science & Big Data22 years 1 months249873
9Dr.Nagasundaram.SAssistant ProfessorM.C.A., M.Phil., Ph.D.,Cloud Computing, Software Engineering,18 years 1 months249872
10Dr.Kavitha.PAssistant ProfessorM.C.A., M.Phil., B.Ed., NET., Ph.DImage Processing , Machine Learning10 years 7 months251133
11Dr.Lipsa NayakAssistant ProfessorMCA., M.Phil., Ph.DBig Data, Cloud Computing1 year 5 months467976
12Dr.Krithika.D.RAssistant ProfessorMCA.,M.Phil.,Ph.DBig Data Analytics, Data Science, AI, ML, Data Mining1 year 5 months431400
13Dr.Poongodi.AAssistant ProfessorMCA., M.Phil., Ph.DData Mining21 years 4 month431315
14Ms.Anu Priya.SAssistant ProfessorMCA., P.Phil.,M.Tech., (Ph.D.)Data Mining , Machine Learning, Big Data13 years 2 months470314
15Dr.Jayamangala.HAssistant ProfessorMCA., CS.,Ph.DData Science, ML12 years 4 months467973