ONLINE MCA In Machine Learning & Artificial Intelligence (AMRITA VISHWA VIDYAPEETHAM)

Duration – 2 years

Overview

Amrita Online’s MCA in AI & ML goes beyond theory, focusing on practical application. Our curriculum equips you to build intelligent systems, manage vast datasets with Data Engineering for AI and NoSQL databases, and apply Machine Learning for real-world problem-solving. Master Computer Vision for visual intelligence, analyse complex data with Computational Statistics and Business Analytics & Visualization, and harness the transformative power of Generative AI and LLMs to innovate across industries, including cutting-edge IoT for AI applications.

Training for the most sought-after AI certification courses:
• Microsoft AI & ML Engineering Professional Certificate
• Python Institute Certifications
• IBM AI Engineering Professional certificate
• Google Cloud Computing Foundation (GCCF)

Placement Assistance: Comprehensive career guidance and placement assistance, ensuring you secure the right opportunities.

Global audience: Build a global network by connecting with peers from over 50 countries.

Flexibility: Access course materials anytime, from anywhere with Live weekend sessions allowing you to balance work and study effectively while pursuing an online MCA in India.

Sample Certificate

Sample Certificate

Electives / Specializations

  • Data Engineering for AI
  • No SQL databases
  • Applications of Machine Learning
  • Computational Statistics
  • IOT for AI
  • Computer Vision
  • Business Analytics and Visualization
  • Generative AI and LLM
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FULL COURSE FEE

1,95,000/- (INCLUDING ALL TAXES)
SEMESTER FEE 45,000/-
MONTHLY EMI 7,917/-

Scholarship Category

Course Structure

SEMESTER 1

  • Foundations of Computer Systems
  • Mathematical Foundations for Computer Applications
  • Object Oriented Programming using Java
  • Stream Core 1: Python Programming for AI
  • Stream Core 2: Foundations of Machine Learning

SEMESTER 2

  • Data Structures and Algorithms
  • Soft Skills
  • Stream Core – Computational Linear Algebra
  • Stream Core 3: Deep Learning for AI
  • Stream Core 4: Natural Language Processing
  • MCA AI & ML Elective I

SEMESTER 3

  • Software Project Management
  • Research Methodology
  • Stream Core 5: Complex Network Analysis
  • Stream Core 6: Reinforcement Learning
  • MCA AI & ML Elective II
  • MCA AI & ML Elective IIl
  • Case Study

SEMESTER 4

  • Capstone Project
  • MCA AI & ML Elective IV
  • MCA AI & ML Elective V

Eligibility

Educational Qualification

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

Grades

Candidates must have an aggregate minimum of 50% marks in UG. Candidates must have passed 10 + 2.