MCA - Master of Computer Application

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5th Best

A++ Grade

Institute of



AICTE Approved

Approval letter


Industry relevant Electives:

  • Systems and Networks (including CCNA)
  • Mobile Application & Full Stack Dev. Skills
  • Virtual & Augmented Reality

Industry Certifications:
Training for

  • Amazon AWS certifications in Data Analytics
  • Cisco Certified Network Associate (CCNA)
  • Amazon Cloud Architect
  • IBM Practitioner

Online Practical Virtual Labs:
From Amazon AWS, CISCO Academy, Amrita.

Industry-Ready Training:
Interact with International (Germany & USA), Cisco Academy, Samsung and Amazon AWS specialists on course modules and industry led projects. 50+ case studies to be covered.

Mentored industry-relevant projects (Final Semester):
In areas of Machine Learning, NLP, Computer Vision, Deep learning, Cloud Computing & Distributed Computing, BlockChain, IOT.

Industry relevant tools:
Courses offer hands-on sessions using industry relevant tools for different subjects like packet analyzer tools such as Wireshark, simulation tools such as packet tracer, Network simulator NS2, Web development using MongoDB, Node.js, AngularJS,ExpressJS, Python packages such as Gensim, Keras, matplotlib, numpy, scikit, scipy, Java development environments BlueJ, Eclipse,Netbeans Data Mining tools such as WEKA, Protege for ontology creation, Database and its administration using PostGreSQL, Oracle, Apache Spark, SparkQL, Cloud computing using Qwiklabs, GCP and AWS, IOT labs using Microcontroller board NodeMCU, different sensors,LEDs , breadboard, Jumper wires and Arduino IDE and Thingspeak IOT cloud.

Job Prospects:
We have over 94% students placed, many in core Artificial Intelligence and Data Science companies. Our MCA alumni have gone abroad for higher education and for jobs.


Direct admissions for learners with a minimum of 50% marks in UG degree. Learners below 50% marks will be also considered for admissions following a short interview.

  • Candidates must have passed 10 + 2
  • Candidate must have completed any undergraduate degree with Mathematics at 10 + 2 level or at graduation level
  • Students in their final year can apply with the last completed semester results

Candidates with work experience will have an added advantage for admissions.

Course Duration

Limits No. of years
Minimum 2
Maximum 4
(Certificate after 1 year)

Fee Structure

Semester Amount
Semester 1 Rs 30000
Semester 2 Rs 30000
Semester 3 Rs 30000
Semester 4 Rs 30000
Total Rs 120000

* If you are a foreign national, please email

Low Cost EMI option available

Title of Course
Foundations of Computer Systems
Mathematical Foundations for Computer Applications
Essentials of Cybersecurity
Elective I
Elective II
Elective III
Title of Course
Data Structures and Algorithms
Probability and Statistics
Cloud Computing
Elective IV
Elective V
Elective VI
Title of Course
Software Project Management
Research Methodology
Elective VII
Elective VIII
Elective IX
Elective X
Title of Course
Object Oriented Programming Using Java
Advanced Operating Systems
Advanced Computer Networks
Python Programming
Advanced DBMS
Advanced Web Technologies and Mean Stacka
Software Engineering and Design Patterns
Design and Analysis of Algorithms
Computer Graphics and Visualization
Mobile Application Development
Compiler Design
Deep Learning
Parallel and Distributed Computing
Connected Internet of Things Devices
Software Testing
Network Management and System Administration
Semantic Web Technologies
Digital Image Processing
Information Retrieval
Software Defined Networks
Pattern Recognition
Malware Analysis
Network Security Essentials
Block Chain Technologies
Principles of Economics and Management


Yes, It is approved by AICTE.

The Online MCA programme is a 2-year programme. You, as a learner can either complete it within the stipulated time frame of 2 years or you can complete it within a maximum allowed duration of 4 years.

For working professionals, we have built tremendous flexibility in the program allowing up to 4 years to earn your degree, allowing for self-paced, anytime learning.

01) Reading materials and video lectures will be uploaded into our learning management system

02) Every week, there will be a live interactive session with faculty to clear doubts and they will also be recorded and posted

03) There will also be a discussion forum to encourage peer learning. Faculty and teaching assistants will also participate in these discussion forums and help with the overall learning experience. Practice quizzes will be given every week so that you are continuously preparing for exams.

Each course will be in 4 quadrants, fully following the UGC guidelines.

1) Quadrant-I is e-Tutorial; which shall contain: Video and Audio Content in an organized form, Animation, Virtual Labs, etc, along with the transcription of the video.

2) Quadrant-II is e-Content; which shall contain; self-instructional material (digital Self Learning Material), e-Books, case studies, presentations etc, and also contain Web Resources such as further references, Related Links etc.

3) Quadrant-III is the Discussion forum for raising of doubts and clarifying the same by the Course Coordinator

4) Quadrant-IV is Assessment, which shall contain; Problems and Solutions, which could be in the form of Multiple Choice Questions, Fill in the blanks, Matching Questions, Short Answer Questions, Long Answer Questions, Quizzes, Assignments and solutions.

Yes. As per the UGC regulations, Online degrees at undergraduate and postgraduate level shall be treated as equivalent to the corresponding awards of the degrees at undergraduate and postgraduate level offered through conventional mode. The following things will be mentioned on the backside of the degree and mark sheets - Mode of delivery; Date of admission; Date of completion.

Yes, every week, for every course, there will be a live doubt clearing session with the faculty, typically for about an hour. These sessions will also be recorded and available for watching later.

In order to accommodate working professionals, these sessions will be held on weekends or after working hours.

Examinations are conducted as per the new regulations through the Online Technology Enabled Proctored mode.

Upon successful completion of the programme, prospective and esteemed job profiles that graduates gain are: Data Scientist, Business Analyst, Data Engineer, Applied Machine Learning engineer, Analytics Leader/data Science Manager, Qualitative expert/Social Scientist

  • . Study at your own pace
    . Learn Anytime Anywhere
    . AICTE approved programs
    . Equivalent to on-campus programs
    . World-class learning environment
    . Experienced faculty from India and abroad
    . Course Mentors
    . Career Assistance
    . Courses Co-developed with Industry
    . Hands-on Laboratories, Practise Sessions
    . Industry Projects
    . Interactive Sessions with Industry Experts
    . Opportunities to Pursue Dual Degree with International Universities
    . Multiple Industry Certifications


Direct admissions for learners with a minimum of 50% marks in UG degree. Learners below 50% marks will be also considered for admissions following a short interview.

  • Candidates must have passed 10 + 2
  • Candidate must have completed any undergraduate degree with Mathematics at 10 + 2 level or at graduation level
  • Students in their final year can apply with the last completed semester results

Candidates with work experience will have an added advantage for admissions.

No, there is no admission fee when you apply. It is free.

It is a simple and easy process. You need to fill out our application form in order to apply.

Please click on the following link to apply:

You can contact us via Email, Call or WhatsApp. You can also chat with us through the chat window present on our website.


Mobile: 8590007473

Whatsapp: 8590240617

We are always here to help you and make your journey as easy as possible.

Yes, International Students are welcome.

We follow UGC Regulations for a Refund :

  • 15 days or more prior to admissions closing date - 100% refund*
  • Within 15 days prior to the admission closing date - 90% refund
  • Within 15 days after the admission closing date - 80% refund
  • 15 days after the admission closing date - 50% Refund
  • 30 days after the admission closing date - No Refund

* A processing fee of Rs. 2000 will be deducted


Dr. Bharath Jayaraman

Professor, Department of Computer Science and Engineering, University at Buffalo, NY Adjunct Faculty, Department of Computer Science, Amrita School of Engineering. His teaching and research expertise centers around programming languages and software systems, Dynamic analysis and visualization in a state-of-the-art execution environment for Java, formal methods in software and safety-critical systems; identification, tracking, and retrieval in cyber-physical spaces based upon camera networks and biometric sensors.


Dr. Keshavan Varadarajan

Dr. Keshavan has a Ph.D. from the Indian Institute of Science, Bangalore.

Dr. Keshavan has over 11 years’ of experience as both a software engineer and a hardware architect in leading industries. He has served in both technical and management positions. He currently works in the strategic planning team at Samsung in Texas. In the past, he served as a chief engineer at Samsung. Dr Keshavan also worked with Hewlett-Packard India Software Operations & ZenIQ.


Radhika Varadarajan

Radhika has over 15 years of experience working in the areas of networking, storage, and cloud security in both large tech companies as well as start-ups. She currently works in the cloud security data team at McAfee. With expertise in Java programming and Web development technologies, she also has a strong understanding of Object-Oriented design, data structures and design patterns. In the past, she has worked with Cisco for over 9 years as senior software engineer.


Dr. Ratna Krishnamoorthy

PhD from the University of Tokyo, Japan; Postdoc from NUS Singapore; Research into VLSI, Python for Data Analytics Ratna received her PhD from the University of Tokyo, Japan and was a post-doctoral research fellow at National University of Singapore. She has 14+ years of experience - working as a teaching faculty, researcher and technical management positions. Her interest areas are: VLSI Systems, GPU and Python for Data Analytics. She currently works as a GPU Program Manager at Samsung



Kohila is a Sr. Academy Instructor, CISCO Networking Academy with more than 10 years of experience in CCNA training. She handles CCNA training sessions for professors & Industry people. She has been awarded Best Instructor- by the Cisco Academy for 5 Consecutive years. She is also the first instructor in India to be qualified in the Instructor Trainer qualification process in India.


Dr. Vivek Menon

Dr. Vivek Menon currently serves as an Associate Professor of Computer Science & Engineering. He has over 20 years of teaching and research experience. His ongoing collaborative research focuses on smart environments with the State University of New York, Buffalo and is featured in prestigious international journals.


Dr.Sandhya Harikumar

Dr. Sandhya has an M. Tech. in Computer Science from IIT Delhi and a Ph.D from Amrita Vishwa Vidyapeetham. She currently serves as a Senior grade Assistant Professor at the Department of Computer Science and Engineering at Amrita School of Engineering, Amritapuri. She has over 19+ years of experience, with 16+ years in academics and 3 years in the corporate world at Reliance Industries. Her teaching and research expertise centers around AI technologies that includes Machine Learning, Big Data Analytics and Database Management Systems.


Dr. Subhasri Duttagupta

Dr. Subhari Duttagupta received her M. Tech. degree in Parallel computing and then received a doctoral degree in sensor networks, both from Indian Institute of Technology, Mumbai. Prior to that, she worked as a senior scientist in TCS Research Labs, Mumbai in performance engineering. Her areas of research include Performance Evaluation And Modelling Of Systems And Networks, Distributed Systems, Real-Life Applications Using Sensor Networks And Analysing IoT Applications, Performance Engineering & Modelling and Simulation.


Dr. Manjusha Nair

Dr. Manjusha Nair is an Asst. Professor (Sr Grade) of Computer Science Engineering at Amrita University She has over 18 years of academic experience in teaching & research. Her research interests include Computational Neuroscience, Bioinformatics, Simulation and Modeling, Information Theory, Parallel Programming & Constraint Object Modeling.


Dr. Jinesh M K

Dr. Jinesh is an Asst. Professor (Sr Grade), Computer Science Engineering, Amrita University His research interests focus on the areas of Formal Methods & Declarative Modelling.


Binu P K

Binu is an Asst. Professor of Computer Science Engineering at Amrita University. He has about 15+ years of academic experience in teaching. His research is focused on Cybersecurity & Networking.


Krishnaprasad T R

Krishnaprasad is the Asst. Professor of Computer Science Engineering at Amrita University. He has more than 9 years of academic experience. His research focuses on Web Technologies, Decentralized Networks, Machine Learning.


Jayashree Nair

Jayashree is an Asst. Professor of Computer Science Engineering at Amrita University Her research is focused on Computational Linguistics & NLP.


Neetha J

Neetha is an Asst. Professor of Computer Science Engineering at Amrita University. Her research is focused on Image Processing.


Indulekha T S

Indulekha is an Asst. Professor of Computer Science Engineering at Amrita University.Her research interests are focused on Machine Learning.


Remya Rajesh

Remya is an Asst. Professor of Computer Science Engineering at Amrita University. Her research focuses on Databases & Machine Learning.


Dr. Swaminathan

Dr. Swaminathan is an Asst. Professor, Computer Science Engineering, Amrita University.Dr Swaminathan has about 22 years of experience, 11 years of which are in the IT industry and 11 in teaching.His research interests include Program Analytics, Formal Methods and Software Visualization. He mentors students for Coding competitions including ACM ICPC.


Dr. Georg Gutjahr

Dr. Georg Gutjahr is an Assistant Professor at Amrita. He has a B.S. in Data Engineering and a Ph.D. in Statistics from the University of Vienna, Austria. His Research is focused on Data Science with a focus on Health Analytics. Research areas include adaptive designs, multiple testing, and numerical methods in statistics. Prior to joining Amrita Vishwa Vidyapeetham, he was a postdoc for 6 years at the University of Bremen, Germany.

Amrita AHEAD MCA Advantage

AICTE Approved
Industry 4.0
aligned curriculum
Master the most advanced tools, techniques,
algorithms reshaping the digital landscape
Job Relevant Industry Certifications
from CISCO, Amazon, EC Council, IBM
Wide range of electives in areas of
IOT, Cyber physical Systems, Cloud computing, Cognitive Computing
More than 50+ industrial case studies & 10+ Mini projects
Opportunity to work in research centers on industry projects
360 Degree Placement Assistance
Dedicated Course Mentors

Master of Computer Application Degree

Earn a prestigious AICTE Approved degree from Amrita Vishwa Vidyapeetham, the fourth best University in India.
As per the UGC regulations, Online degrees at undergraduate and postgraduate level shall be treated as equivalent to the corresponding awards of the degrees at undergraduate and postgraduate level offered through conventional mode.

Join a growing global network of accomplished Amrita alumni.

The Amrita
Accreditations & Recognitions

The National Assessment and Accreditation Council (NAAC),Government of India accredited our University with the topmost 'A++' grade. The Schools under the aegis of Amrita University have over 108 programmes in disciplines as diverse as Biotechnology, Engineering, Management, Medicine, Dentistry, Ayurveda, Pharmacy, Nanotechnology, Communication, Arts & Science and Education, providing our students with an outstanding training in our several campuses across multiple states. Needless to add, this multi-disciplinary character of our University facilitates a laudable synergy within our midst greatly enabling us all to derive maximum benefit from the expertise of each other. The Amrita AHEAD programs are WES accredited in the United States and Canada.
Amrita ranked 5th Best University in India- NIRF, Govt. of India

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Final Deadline : Feb 28th 2022


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Job Titles

Software Application Architect

Software Consultant

Web Designer & Developer

Database Administrator

Test Engineer

Network Engineer

Quality Assurance Engineer

App Developer

Business Analyst

Software Developer


Software/Hardware Engineer


Systems Analyst

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Go Global with our International Programs: Student Exchange program, Study Abroad Program and 3+1+ x Integrated Masters Program

Students Testimonials

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Gokuldas G

Founder, Voteran Political Social Network & Good Afternoon Lunch

“Amrita is a place of 'problem solvers'. Every person we interact with will be busy working on projects or research which solves the issues of a larger population. I must say, the faculties are always ahead of the technology trends. Their guidance during my studies made me so confident in choosing the right technology on my entrepreneurial journey. My alma mater also allowed me to interact with many industry veterans, CEOs, and experts through their industry connect programs. Amrita - An amazing place to study, and start!”


Vijitha V

Founder, Comet Chat Radio

"I owe a lot to Amrita faculties for my technological knowledge and problem-solving skills. They have a profound understanding of what they teach, and how it should be implemented in real-life scenarios. The projects we worked on at Amrita were on deep real-life issues impacting many people. I found myself lucky to have associated with many mentors at Amrita who are highly successful in their respective fields. Their guidance was immense. 'Wannapreneur' to 'Entrepreneur'? Amrita is the right place."


Arjun V

Orange & Lemons, Amsterdam / Backend developer (Python-Django)

"Choosing Amrita for my Graduate & Post Graduate studies is the best decision I have ever taken in my life. Amrita has all the resources for a student to succeed in his/her life. The value based education delivered here changed my perspective on education & life. The learning methodology practiced here would prepare the student to achieve their career dreams."


P S Narayanan

Phone Parloan

"My life at Amrita was an experience I will cherish forever. The facilities and opportunities along with first class education that you get from Amrita can help you achieve your goals in your career. The faculty here have tremendous knowledge & research experience in the areas they teach which helps students to understand the practical aspects. The teaching learning process happening here groom’s students to ready professionals by the time of course completion."