*Subject to approval from competent authorities
Industry relevant specializations.
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.
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.
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.
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.
|Limits||No. of years|
|(PG Diploma exit option after 1 year applicable)|
|Semester 1||Rs 30000|
|Semester 2||Rs 30000|
|Semester 3||Rs 30000|
|Semester 4||Rs 30000|
|Title of Course|
|Object Oriented Programming Using JAVA|
|Mathematical Foundations for Computer Applications I|
|Advanced Operating Systems|
|Advanced Computer Networks|
|Title of Course|
|Data structures and Algorithms|
|Mathematical Foundations for computer Applications II|
|Advanced Web Technologies and Mean Stack|
|Title of Course|
|Software Engineering & Design Patterns|
|Industry Project Part I|
AWS Certification Courses
CISCO Networking Courses
(Training to earn CCNA Certifications)
(Training to earn compTia Certifications)
Other Industry-relevant Electives
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
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
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:
You can contact us via Email, Call or WhatsApp. You can also chat with us through the chat window present on our website.
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
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 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.
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.
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
Dr Ajay V has a PhD from UT at Austin in Computational Fluid Dynamics. His research is focused on Data Science & Machine Learning An alumnus of Amrita University Dr Ajay then obtained his PhD from The University of Texas at Austin in Computational Fluid Dynamics. He holds significant experience in enterprise-level software development, specifically for scientific applications.
Mr Sreevalsan has more than 35 years of experience in the IT field with a demonstrated history of working in the education management industry. He is Heading the Cisco Networking Academy at the University and is the Academy Support Expert for Cisco Networking Academies in India. He is a Member of the- Global Advisory Committee - Cisco Networking Academy 2020-21.
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 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.
Dr. Sandhya has an M. Tech. in Computer Science from IIT Delhi and 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 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. 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 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 is an Asst. Professor (Sr Grade), Computer Science Engineering, Amrita University His research interests focus on the areas of Formal Methods & Declarative Modelling.
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.
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.
Ms Jayashree Asst. Professor of Computer Science Engineering at Amrita University Her research is focused on Computational Linguistics & NLP.
Ms Neetha is the Asst. Professor of Computer Science Engineering at Amrita University. Her research is focused on Image Processing.
Ms Indulekha is Asst. Professor of Computer Science Engineering at Amrita University.Her research interests are focused on Machine Learning.
Ms. Remya is the Asst. Professor of Computer Science Engineering at Amrita University. Her research focuses on Databases & Machine Learning.
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 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.
Earn a prestigious UGC approved degree from Amrita Vishwa Vidyapeetham, the fourth best University in India.
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 National Assessment and Accreditation Council (NAAC),Government of India accredited our University with an ‘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.
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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!”
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."
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."
"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."