MCA - Master of Computer Application
4th Best
University
NAAC
A Grade
Institute of
Eminence
Industry
Certifications
Fully
Online
UGC Approved
Course
Industry relevant specializations.
- Systems and Networks (including CCNA & CCNP)
- Mobile Application & Full Stack Dev. Skills
- Virtual & Augmented Reality
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.
Industry Certifications.
Training for
- Amazon AWS certifications in Data Analytics
- Amazon, Cloud Computing
- Amazon Cloud Architect
- IBM Practitioner
Industry-Ready Training.
Interact with International (Germany, USA) and CISCO Academy, Samsung, Amazon AWS, on course modules and Industry led projects with 50+ case studies.
Mentored industry-relevant projects (Final Semester).
In areas of Machine Learning, NLP, Computer Vision, Deep learning, Cloud Computing & Distributed Computing, BlockChain, IOT.
Online Practical Virtual Labs.
From Amazon AWS, CISCO Academy, Amrita.
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.
Job titles include.
- Software Application Architect
- Software Consultant
- Web Designer & Developer
- Database Administrator
- Test Engineer
- Network Engineer
- Quality Assurance Engineer
- App Developer
- Business Analyst
- Software Developer
- Programmer
- Software/Hardware Engineer
- Troubleshooter
- Systems Analyst
Eligibility
Students with Indian Education:- 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
Students with Foreign Education:
Certificate of Equivalence from Association of Indian Universities is needed. This is required by any student with a Foreign Education who wishes to apply to an Indian University. Please refer to
https://aiu.ac.in/.
Candidates with work experience will have an added advantage for admissions.
Course Duration
Fee Structure
| Title of Course |
|---|
| Object Oriented Programming Using JAVA |
| Mathematical Foundations for Computer Applications I |
| Advanced Operating Systems |
| Advanced Computer Networks |
| Python Programming |
| Advanced DBMS |
| Title of Course |
|---|
| Data structures and Algorithms |
| Mathematical Foundations for computer Applications II |
| Advanced Web Technologies and Mean Stack |
| Elective I |
| Elective II |
| Elective III |
| Title of Course |
|---|
| Machine Learning |
| Software Engineering & Design Patterns |
| Elective IV |
| Elective V |
| Elective VI |
| Industry Project Part I |
| Title of Course |
|---|
| Industry Project part II |
AWS Certification Courses
CISCO Networking Courses (Training to earn CCNA Certifications)
Security Courses (Training to earn compTia Certifications)
|
Other Industry-relevant Electives
|
Academics
Yes, It is certified by UGC. It is equivalent to any other degree offered by UGC.
The Online MCA-AI & DS 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. 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
. UGC 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
Admissions
Undergraduate degree: Bachelor of Computer Applications (BCA) or Bachelor’s Degree in Computer Science / Engineering or Bachelor's Degree in Science / Commerce / Arts with Mathematics at 10+2 level with minimum 50% percentage marks. Students in their final year can apply with the last completed semester results.
Students with Foreign Education: Bachelor’s Degree - any of the above-mentioned degrees. Certificate of Equivalence from Association of Indian Universities (required by any student with foreign education who wishes to apply to an Indian University, refer to
https://aiu.ac.in/
Candidates with work experience will have an added advantage during admissions.
First year fee is Rs. 95,000 and second year fee will be Rs 1,00,000. The total fee is Rs. 1,95,000 for the full MCA AI & DS program.
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/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: 8590240617
Whatsapp:8590007473
We are always here to help you and make your journey as easy as possible.
Yes, International Students are welcome. Students with foreign education can also apply. Certificate of Equivalence from Association of Indian Universities is needed. This is required by any student with a foreign education who wishes to apply to an Indian University. Please refer to
https://aiu.ac.in/
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 is a PhD from the Indian Institute of Science, Bangalore.
Dr Keshavan has over 11 years’ 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
Ms. 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
M. Kohila
Ms. 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 SUNY at Buffalo has featured in prestigious international journals.
Sandhya Harikumar
M. Tech. in Computer Science from IIT Delhi, 18+ years teaching experience; 3 years in Reliance Industries; Research areas in Machine Learning, Big Data Analytics
Currently serves as Senior grade Assistant Professor at the Department of Computer Science and Engineering at Amrita School of Engineering, Amritapuri,She has 18 years of experience with 15 years in academics and 3 years in Reliance Industries.Prof Sandhya pursued her M. Tech. in Computer Science and Engineering from IIT Delhi.Her research interests include Machine Learning, Big Data Analytics, and DBMS. He is a recipient of the prestigious 'Fast Track Young Scientist Scheme' in Engineering Sciences, awarded by the Science and Engineering Research Board (SERB).
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
Mr.Binu is the 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
Mr 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
Ms Jayashree Asst. Professor of Computer Science Engineering at Amrita University Her research is focused on Computational Linguistics & NLP.
Neetha J
Ms Neetha is the Asst. Professor of Computer Science Engineering at Amrita University. Her research is focused on Image Processing.
Indulekha T S
Ms Indulekha is Asst. Professor of Computer Science Engineering at Amrita University.Her research interests are focused on Machine Learning.
Remya Rajesh
Ms. Remya is the 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.
