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Duration 2 Years
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Program Fee INR 1,95,000/-
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Eligibility Any Graduate

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No. 1 *Private University in India

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Ranked 7th Best University in India- NIRF (2023), Govt. of India.

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WES Accredited

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NAAC A++ Grade

Program Overview

The 2-year online Master in Computer Application (MCA) program specializes in Artificial Intelligence (AI) equips technically proficient professionals in advanced learning systems and AI algorithms. With a hands-on approach and an industry-mentored curriculum, students gain practical knowledge of cutting-edge technologies. This interactive program focuses on providing learners with the skills needed to excel in AI-driven industries.


Program Highlights
Industry-Led Pedagogy
Job Relevant Industry Certifications from Amazon AWS and IBM

Job Relevant Industry Certifications from Amazon AWS and IBM

Wide Range of Electives in Areas of IOT, Cyber-physical Systems, Cloud computing, Cognitive Computing

Wide Range of Electives in Areas of IOT, Cyber-physical Systems, Cloud computing, Cognitive Computing

Strong Alumni Network

Strong Alumni Network

Dedicated Course Mentors and World-class faculty

Dedicated Course Mentors and World-class faculty

360-Degree Placement Assistance

360-Degree Placement Assistance

Opportunity to Work in Research Centers on Industry Projects

Opportunity to Work in Research Centers on Industry Projects

Master the AI tools, techniques, algorithms reshaping the digital landscape Master the AI tools, techniques, algorithms reshaping the digital landscape
Industry 4.0 Aligned Curriculum Designed to Equip Yourself to Succeed in the AI-Powered Future Industry 4.0 Aligned Curriculum Designed to Equip Yourself to Succeed in the AI-Powered Future
More than 50+ Industrial Case Studies & 10+ Mini Projects More than 50+ Industrial Case Studies & 10+ Mini Projects
Quizzes & Assignments Quizzes & Assignments
Learn More

Hear from our Alumni

Shivam Gupta

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.

Jamshi.K.J

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.

Program Content


Semester 1


Foundations of Computer Systems
Mathematical Foundations for Computer Applications
Essentials of Cybersecurity
Elective I
Elective II
Elective III

Semester 2


Data Structures and Algorithms
Mathematics Elective
Cloud Computing
Elective IV
Elective V
Elective VI

Semester 3


Software Project Management
Research Methodology
Elective VII
Elective VIII
Elective IX
Elective X
Minor Project

Semester 4


Project
Elective XI

Electives


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

Online Practical Virtual Labs:

- From Amazon AWS, CISCO Academy, and Amrita.

Industry-relevant Artificial Intelligence and Data Science Python packages:

- SciPy, Scikit-Learn, Sympy, Matplotlib, NLTK, BERT.

Hands-on sessions integrated into courses includes:

- Tensorflow, 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.

Admission Fee & Financing

Easy EMI Options Available

Pay in easy monthly instalments with our EMI options. No more worrying about finances; start your learning journey today!

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Zero Cost EMI Options available

Amrita AHEAD Scholarships
Up to 100%
Scholarships available for eligible candidates*


Eligibility

Academic Criteria
Who Can Attend?
Selection Criteria
  • Direct admissions for learners with a minimum of 50% marks in UG degree.
  • Learners below 50% marks will be also considered for admission following a short interview.
    • Candidates must have passed 10 + 2.
    • Candidate must have completed any undergraduate degree in Mathematics at 10 + 2 level or at graduation level.
    • Students in their final year can apply with the last completed semester results.
  • Prior work experience will have an added advantage for admissions.
  • Fresh Graduates.
  • Individuals/Academicians/Working Professionals.
  • Aspirants who want to pursue a career in AI Domain.
  • Selection is profiles based.

Our Eminent Facilitators

Dr Bharath Jayaraman

Dr Bharath Jayaraman

Adjunct Faculty, Department of Computer Science,
Amrita School of Engineering

Dr Ratna Krishnamoorthy

Dr Ratna Krishnamoorthy

PhD from the University of Tokyo, Japan
GPU Program Manager at Samsung

Sreevalsan Moothedath

Sreevalsan Moothedath

Heading the Cisco Networking Academy at the University
and is the Academy Support Expert for Cisco Networking Academies in India

M. Kohila

M. Kohila

Sr. Academy Instructor,
CISCO Networking Academy

Dr.Sandhya Harikumar

Dr.Sandhya Harikumar

Senior grade Assistant Professor,
Department of Computer Science and Engineering,
Amrita School of Engineering

Certification

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Master in Computer Application (Specialization: Artificial Intelligence)

This Online MCA intake focuses on grooming professionals' skills in an AI-driven world through hands-on industry-relevant curriculum and cutting-edge technology knowledge.

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