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Program Overview

Admission Open

Deadline : December 8, 2023

Industry Certifications:

Training for

  • Amazon AWS certifications in Data Analytics
  • Amazon Cloud Architect
  • IBM Practitioner

Online Practical Virtual Labs:

From Amazon AWS, CISCO Academy, and Amrita.

Industry-Ready Training:

Interact with International (Germany & USA) and national Artificial Intelligence specialists on course modules and industry led projects. 50+ case studies to be covered.


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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.

Mentored industry-relevant projects (Final Semester):

In areas of Machine Learning, NLP, Computer Vision, Deep learning, Cloud Computing & Distributed Computing, BlockChain, IOT.

World Class Faculty

Learn from leading faculty members and industry experts

Dr Bharath Jayaraman
Dr Bharath Jayaraman

Professor, Department of Computer Science and Engineering, University at Buffalo, NYrnAdjunct Faculty, Department of Computer Science, Amrita School of EngineeringrnrnHis 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 Varadarajan

DR.Keshavan is a PhD from the Indian Institute of Science, Bangalore.rnrnDr 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
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
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

Dr Georg Gutjahr
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. rn

Dr Swaminathan
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.

Sreevalsan Moothedath
Sreevalsan Moothedath

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.

M. Kohila
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.Sandhya Harikumar
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.

MCA (Specialization: Artificial Intelligence)

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.

ahead mca ai

Course Curriculum

Best-in-class content by leading faculty and industry leaders in the form of videos, case studies and projects.

Semester 1
Title of Course
Foundations of Computer Systems
Mathematical Foundations for Computer Applications
Essentials of Cybersecurity
Elective I
Elective II
Elective III
Semester 2
Title of Course
Data Structures and Algorithms
Mathematics Elective
Cloud Computing
Elective IV
Elective V
Elective VI
Semester 3
Title of Course
Software Project Management
Research Methodology
Elective VII
Elective VIII
Elective IX
Elective X
Minor Project
Semester 4
Title of Course
 Project
Elective XI
Electives
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Title of Course
Foundations of Machine Learning
Natural Language Processing
Business Analytics and Visualization
Deep Learning for AI
Computer Vision
Complex Network Analysis
Data Engineering for AI
Reinforcement Learning
IoT for AI
Artificial Intelligence
Artificial Intelligence for Robotics
No-SQL Databases
Applications of Machine Learning
Web Analytics
Computational Statistics
AI for Drug Discovery and Target Validation
Representation Learning
Medical Signal Processing
Applied Predictive Analytics
Data Visualization

Minimum Eligibility

Candidates must have an aggregate minimum of 50% marks in UG.

  • 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

Minimum 2 years
Maximum 4 years

The Amrita
Accreditations & Rankings

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 7th Best University in India- NIRF, Govt. of India

university in india
No 1 Private University in India
wes
WES accredited
NIRF Ranking 02 iqac
Govt of india, 2023, 7th best university in India
international faculty
No 1 International Faculty in India
amrita-naac-grade-2021-01.jpg
NAAC A++ Grade

Admission Process

  • Choose a Program
    Choose a Program
  • Apply Online
    Apply Online
  • Join the Program
    Join the Program
Apply now

Placements

Data is based on on-campus information

google logo orig
microsoft
samsung
caterpillar
mu sigma
accenture
Wipro
cisco logo
infosys
cognizant

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
job opportunity

International University Partners

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

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Programme Fee*

Total fee: INR 45000*1 (Sem-wise payment*1 semesters) + INR 50000*3 (Sem-wise payment*3 semesters) = INR 195000

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Fee per semester*

₹50,000

Apply Now
Modulus

ZERO COST EMI STARTING FROM

₹7500*

*Terms & Conditions apply


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Scholarships

Up to 100%

Scholarships available for eligible candidates

Know More

 * Registration fee -Rs. 500

* Examination Fee -Rs.2000 Per Semester

*If you are a foreign national, please email ahead@amrita.edu / ahead@onlineamrita.com

Students Testimonials

Athira G
Athira.G
Online MCA AI

Here I am, on an ongoing journey to complete my online degree MCA in Artificial Intelligence alongside my full-time job and managing my family. Very proud and grateful for Amrita Ahead’s online opportunity, which gives the same value and benefits of studying same as on-campus learning. 24/7 accessibility to the resources, online library, and faculty support provides each student to meet their academic goals.

Shivam Gupta scaled 1
Shivam Gupta
Online MCA AI

Experience with Amrita AHEAD online MCA AI is outstanding. Teachers are very experienced and humble. They understand students’ problems and work accordingly. Teachers work round the clock for our assistance and give quality materials and teaching. The course curriculum is outstanding. Suitable for skilling up.

Frequently Asked Questions

Academics

What is the MCA-AI Program ?

This 2-year postgraduate online programme of MCA with specialization in AI 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.

Is the program approved by AICTE?

Yes, It is approved by AICTE.

How long can I take to complete my program?

The Online MCA-AI 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.

How will you conduct the online program?

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.

What is the format of an online course?

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.

Will the Online degree be equivalent to the conventional degree offered by Amrita?

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.

Do you offer interactive sessions with the faculty?

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.

How are the exams conducted in online mode?

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

Why should one study Artificial Intelligence ?

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.

What are the job prospects?

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

Why online degrees from Amrita AHEAD?

. 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

What is the eligibility criteria?

Candidates must have an aggregate minimum of 50% marks in UG.

  • 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.

What is the Fee Structure ?

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 program.

Is there an admission fee?

Yes, there is a registration fee of Rs. 500.

How do I apply?

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-23/index/

How do I contact you?

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 / ahead@onlineamrita.com

Mobile: 8590007473

Whatsapp: 8590007473

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

I am an International Student, can I also apply?

Yes, International Students are welcome.

What is the Refund Policy of Amrita AHEAD Online Degree Program?

For the July 2023 season, as per new UGC regulations, we will provide a full refund to all students till September 2023 and a deduction of Rs. 1000 as a processing fee for refunds till October 2023.

For all admissions beyond October 2023, the following policy will be followed.

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. 1000 will be deducted

Contact Us

Please note: The above contact details are only for Amrita AHEAD- Amrita’s Online programs. For on-campus queries, please contact the number listed here: amrita.edu/admissions (044-462 76066).

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