MCA - Master of Computer Application
5th Best
University
NAAC
A++ Grade
Institute of
Eminence
Industry
Certifications
Fully
Online
AICTE Approved
Course
Approval letter
Specializations:
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.
Eligibility
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
Fee Structure
* If you are a foreign national, please email ahead@amrita.edu
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 |
|---|
| Project |
| 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 |
| Bioinformatics |
| Digital Image Processing |
| Information Retrieval |
| Software Defined Networks |
| Pattern Recognition |
| Malware Analysis |
| Network Security Essentials |
| Block Chain Technologies |
| Principles of Economics and Management |
Academics
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
Admissions
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:
https://aoap.amrita.edu/ahead-22/index/
You can contact us via Email, Call or WhatsApp. You can also chat with us through the chat window present on our website.
Email: ahead@amrita.edu
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
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.
