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Online MCA in Artificial Intelligence - Amrita University

Amrita AHEAD's Online MCA in Artificial Intelligence program offers a comprehensive curriculum designed for aspiring tech professionals. This AICTE-approved program combines theoretical foundations with practical applications in machine learning, neural networks, and natural language processing. Students gain hands-on experience through virtual labs, industry projects, and certifications from AWS and IBM. The program features world-class faculty and provides 360-degree placement assistance.

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  • Course Start Date:

    Coming Soon

  • Application Deadline:

    Coming Soon

  • Duration:

    2-4 Years

₹ 1,75,500

₹ 1,95,000

Overview

Overview of Amrita's Online MCA in AI program, offering cutting-edge curriculum in artificial intelligence and machine learning. Students learn from industry experts and gain practical experience through virtual labs and real-world projects. The program includes certifications from AWS and IBM, ensuring industry-ready skills.

Why MCA (Master of Computer Applications)?

The program offers unique advantages including AICTE approval, industry 4.0 aligned curriculum, world-class faculty, and comprehensive placement assistance. Students get access to advanced AI tools and techniques, with opportunities to work on research projects.

What does this course have to offer?

Key Highlights

  • Affordable program structure

  • AICTE approved curriculum

  • Industry certifications included

  • Virtual labs from AWS and CISCO

  • Placement assistance

  • Dedicated mentors

  • Flexible learning schedule

Who is this programme for?

  • Working professionals seeking career growth

  • IT graduates wanting to specialize in AI

  • Technology enthusiasts interested in machine learning

  • Professionals aiming for data science roles

Minimum Eligibility

  • Must have 50% in UG

  • Mathematics at 10+2 or graduation level

  • Bachelor's degree required

  • Work experience preferred

Who is the programme for?

The admission process is straightforward with online application submission. Academic requirements include 50% marks in graduation and mathematics background. Program follows semester system with continuous evaluation through online exams and projects.

Important Information

Selection process

How to apply?

Curriculum

The curriculum spans 4 semesters covering core computing subjects and specialized AI topics. Includes practical sessions, virtual labs, and industry projects. Features electives in machine learning, NLP, computer vision, and more.

There are 4 semesters in this course

The program provides comprehensive coverage of artificial intelligence concepts through structured semesters. Core subjects establish computing fundamentals while specialized modules cover machine learning, deep learning, NLP, and computer vision. The curriculum integrates theoretical concepts with hands-on projects and industry case studies.

Semester 1

Semester 2

Semester 3

Semester 4

Programme Length

2 years minimum, 4 years maximum duration with flexible learning options. Classes conducted online with weekend/evening sessions to accommodate working professionals.

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Associate Dean, School of Computing, Amritapuri | Director, AmritaCREATE

Dr. Prema Nedungadi is the Associate Dean of the School of Computing at Amrita Vishwa Vidyapeetham's Amritapuri campus and the founding Director of AmritaCREATE, an initiative focused on harnessing technology for educational advancement. With a Ph.D. and extensive experience in digital transformation, she has coordinated over 20 research projects, securing over USD 9 million in funding from prestigious organizations such as UNICEF and the Ministry of Tribal Affairs. Her research interests include personalized learning environments, AI applications for individuals with disabilities, and the linguistics of Indic languages. Dr. Nedungadi has published over 100 research papers and received numerous awards, including the Digital India Award, highlighting her significant contributions to educational technology and her commitment to empowering learners.

Expert in Graph Processing and Medical Imaging

Dr. Jyothisha J. Nair is the Vice Principal and Head of the School of Computing at Amrita Vishwa Vidyapeetham's Amritapuri campus, where she also serves as a Professor. With a B.Tech, M.Tech, and Ph.D. from the National Institute of Technology (NIT), Calicut, she brings 17 years of academic experience to her role. Her research focuses on graph processing, image analysis, and medical imaging, contributing significantly to advancements in these fields. Dr. Nair is dedicated to fostering innovation in computing and enhancing educational outcomes through her leadership and expertise.

Tuition Fee

Total program fee is ₹195,000 paid semester-wise. First semester fee is ₹45,000 and subsequent semesters at ₹50,000 each. EMI options available starting from ₹7,917 per month. Additional exam fee of ₹2,500 per semester.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

Students experience flexible online learning through live interactive sessions, recorded lectures, discussion forums, and virtual labs. Regular faculty interactions and mentoring support ensure effective learning.

University Experience

Students get access to Amrita's world-class learning environment with experienced faculty from India and abroad. Virtual labs, industry projects, and certification programs enhance the learning experience.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

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About the University

University

Amrita Vishwa Vidyapeetham is a multi-campus, multi-disciplinary, research-intensive private deemed university established in 1994. Headquartered in Ettimadai, Coimbatore, it operates across nine campuses in Amaravati, Amritapuri, Bangalore, Chennai, Coimbatore, Kochi, Faridabad, Mysore, and Nagercoil. The university offers over 300 undergraduate, postgraduate, integrated-degree, dual-degree, and doctoral programs across disciplines including engineering, medicine, management, architecture, natural sciences, Ayurveda, arts & humanities, and social sciences. Founded by humanitarian leader Mata Amritanandamayi, the institution received deemed university status in 2003, becoming one of the youngest institutions to achieve this recognition.

#1001-1200

QS World Ranking 2025

24,500

Total Enrollment

7

NIRF University Ranking 2024

Affiliation & Recognition

NAAC

NAAC

UGC

UGC

Institution of Eminence

Institution of Eminence

NIRF

NIRF

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Associate Dean, School of Computing, Amritapuri | Director, AmritaCREATE

Dr. Prema Nedungadi is the Associate Dean of the School of Computing at Amrita Vishwa Vidyapeetham's Amritapuri campus and the founding Director of AmritaCREATE, an initiative focused on harnessing technology for educational advancement. With a Ph.D. and extensive experience in digital transformation, she has coordinated over 20 research projects, securing over USD 9 million in funding from prestigious organizations such as UNICEF and the Ministry of Tribal Affairs. Her research interests include personalized learning environments, AI applications for individuals with disabilities, and the linguistics of Indic languages. Dr. Nedungadi has published over 100 research papers and received numerous awards, including the Digital India Award, highlighting her significant contributions to educational technology and her commitment to empowering learners.

Expert in Graph Processing and Medical Imaging

Dr. Jyothisha J. Nair is the Vice Principal and Head of the School of Computing at Amrita Vishwa Vidyapeetham's Amritapuri campus, where she also serves as a Professor. With a B.Tech, M.Tech, and Ph.D. from the National Institute of Technology (NIT), Calicut, she brings 17 years of academic experience to her role. Her research focuses on graph processing, image analysis, and medical imaging, contributing significantly to advancements in these fields. Dr. Nair is dedicated to fostering innovation in computing and enhancing educational outcomes through her leadership and expertise.

Career services

The university maintains a robust career services infrastructure focused on comprehensive student development and placement. The placement cell facilitates internships, employability skill development, and industry connections across all campuses. Students receive extensive pre-placement training through workshops, mock interviews, and group discussions. The institution has consistently achieved excellent placement records with multiple job offers per eligible student. The placement process begins with internships during the program, often leading to pre-placement offers. The university maintains strong relationships with over 200 recruiting companies, offering diverse opportunities across sectors including technology, manufacturing, consulting, and healthcare.

95%

Overall Placement Rate

56.95 LPA

Highest Package 2023

200

Number of Recruiters

Top Recruiters

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Degree Course Image
  • Course Start Date:

    Coming Soon

  • Application Deadline:

    Coming Soon

  • Duration:

    2-4 Years

₹ 1,75,500

₹ 1,95,000

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.