MCA - Artificial Intelligence

*Subject to approval from competent authorities

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4th Best
University

NAAC
A Grade

Institute of
Eminence

Industry
Certifications

Fully
Online

UGC Approved
Course

Industry relevant tools.
Courses offer hands-on sessions using industry relevant Artificial Intelligence and Data Science Python packages such as SciPy, Scikit-Learn, sympy, matplotlib, NLTK, BERT. Hands-on sessions integrated into courses include Tensor flow, Tableau, Keras, Anaconda, RDBMS: SQL; Apache Spark ; SPARKQL; SPARKML, PySpark and complex networks tools like Gephi/NetworkX.

Industry Certifications.
Training for

  • Amazon AWS certifications in Data Analytics
  • Amazon, Cloud Computing
  • Amazon Cloud Architect

Industry-Ready Training.
Interact with International (Germany, USA) and National Artificial Intelligence specialists 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, and 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.
Artificial Intelligence/Machine Learning Developer, Software Developer, Data Analyst, AWS or Azure Data Scientist, Business Intelligence Developer, Data Architect.

Eligibility

Students with Indian Education:
  • Candidates must have passed 10 + 2
  • Any under graduate degree holder like BCA, B.Tech, B.E, BSc, BA, B.Com etc with Mathematics at 10+2 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

Limits No. of years
Minimum 2
Maximum 4
(PG Diploma exit option after 1 year applicable)

Fee Structure

Semester Amount
Semester 1 Rs 45000
Semester 2 Rs 50000
Semester 3 Rs 50000
Semester 4 Rs 50000
Total Rs 195000
Title of Course
Foundations of Machine Learning
Mathematics for Data Science I
Foundations of Computer systems
Natural Language Processing
Design and Analysis of Algorithms
Business Analytics
Title of Course
Deep Learning for AI
Mathematics for Data Science-II
Data Engineering for AI
Elective-II
Elective-III
Title of Course
Complex Network Analysis
Computer Vision
Elective-IV
Elective-V
Elective-VI
Industry Project Part-I
Title of Course
Industry Project part II
Industry Certification Courses
  • Amazon - AWS Academy Cloud Development
  • Amazon - AWS Academy Cloud Architecting
  • Amazon - AWS Academy Data Analytics Lab
Other Industry-relevant Electives
  • Applications of Machine Learning
  • Web Analytics
  • AI for Drug Discovery & Target Validation
  • Applied Predictive Analytics
  • Big Data Analytics & Visualisation
  • Bioinformatics
  • Parallel & Distributed Data Management
  • Modelling & Simulation
  • Computational Statistics
  • Financial Data Analytics
  • Representation Learning
  • Pattern Recognition
  • Information Retrieval
  • GPU Architecture & Programming
  • Bio medical & Health Informatics
  • Semantic Web

Academics

This 2-year postgraduate online programme of MCA with specialization in AI & Data Science is designed to groom professionals technically sound in advanced learning systems & methodologies that are based on algorithms of Artificial Intelligence. This programme follows an industry mentored curriculum which equips the professionals with advanced application-level knowledge in cutting edge technologies. The structure of course is designed as hands-on based which helps students to apply their knowledge which helps them align with industry standards from the very beginning of the course.

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.

01) One of the most demanding careers in all sectors which show no sign of saturation in the next 20 years

02) The credible report says in 2021, artificial intelligence (AI) augmentation will create $2.9 trillion of business value and 6.2 billion hours of worker productivity globally.

03) World Economic Forum in its report “The Future of Jobs: 2018” clearly states that the boom of AI and its tremendous application in diverse areas could open about 58 million new job opportunities’ by 2022

04) Statistics show over 375 million existing workers need to be skilled in AI to retain their position.

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/

faculty

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.

faculty

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 & enIQ.

faculty

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.

faculty

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

faculty

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.

faculty

Dr.Sandhya Harikumar

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.

faculty

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.

faculty

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 Artificial Intelligence & Data Science ADVANTAGE

UGC approved
programmes
Affordable
Complete your MCA-AI & DS at your own pace (2 to 4 years)
Industry 4.0 aligned
curriculum designed to equip yourself to succeed in the AI-Powered future
Learn from leading academicians &
industry experts around the world
Master the AI 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 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 Amrita
Accreditations & Recognitions

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.

Amrita ranked 4th Best University in India- NIRF, Govt. of India

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Placements

Data is based on on-campus information

Job Titles

Artificial Intelligence/Machine Learning Developer

Software Developer

Data Analyst

AWS or Azure Data Scientist

Business Intelligence Developer

Deep Learning Engineer

Sr. Data Science Software Engineer

Data Architect

Quantitative Analyst

Operations Analyst

Big Data Engineer

Robotics Engineer

Computer Vision Engineer

Partners

Students Testimonials

Data is based on on-campus information


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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!”

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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."

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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."

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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."