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September 6, 2025

PG Specialization – MCA with specialization in Machine Learning & Artificial Intelligence (ML & AI) (Online MCA)

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MCA with specialization in Machine Learning & Artificial Intelligence (ML & AI)

An MCA with specialization in Machine Learning & Artificial Intelligence covers end-to-end, in-depth, industry-ready curriculum on different domains and technologies of artificial intelligence, machine learning, deep learning, etc. It equips students with in-depth knowledge of algorithms, data analysis, artificial intelligence, and deep learning techniques, preparing them for careers in data science, AI development, and related fields. Get Assured Internship Opportunities:

  • Internship opportunities for all eligible learners from the IHP subject/courses.
  • Placement support by Amity University Online, trusted by our students, through various virtual placement drives.

Get additional benefits of TCS iON National Qualifier Test (NQT) – Cognitive & Subject tests

Why MCA with specialization in Machine Learning & Artificial Intelligence ?

Machine Learning is a rapidly growing field with high demand in various industries. Specializing in MCA with a focus on machine learning equips students with sought-after skills for data analysis, AI, and predictive modeling. Learning machine learning techniques fosters an innovative mindset and equips students to adapt to new technologies, positioning them as adaptable and forward-thinking professionals. Graduates with expertise in machine learning can explore diverse career paths, including data scientists, machine learning engineers, AI researchers, and more, in sectors like finance, healthcare, tech, and beyond.

Course Curriculum

Semester 1

Graph Theory and Combinatorics

Advanced Database Management Systems

Core Java

Advanced Software Engineering Principles

Professional Communication


Semester 2

Research Methodology

Data Structures and Algorithm Design

Network Security and Cryptography

Cognitive Analytics & Social Skills for Professionals

Artificial Intelligence for Real World Application

Machine Learning for Real World Application


Semester 3

Cloud Infrastructure and Services

Deep Learning & Neural Network

Professional Ethics

Quantitative Aptitude

Seminar(Evaluation)

Social Media & Text Analytics

Unix /Linux Programming


Semester 4

Major Project

What Will I Learn?

  • Mastering Machine Learning for Insightful Solutions
  • Spearhead the creation of Machine Learning models to unravel complex problems and discover previously unforeseen insights
  • Leadership in AI and ML
  • Become a prominent figure in the rapidly growing AI and ML market, understanding its past breakthroughs and anticipating its future potential
  • Key Concepts Mastery
  • Become a prominent figure in the rapidly growing AI and ML market, understanding its past breakthroughs and anticipating its future potential
  • Strategic Decision-Making with ML Techniques
  • Use ML techniques, models, and diverse algorithms to make pivotal decisions in your professional domain
  • Innovative Solutions with ML & AI
  • Harness your innovative skills to develop intelligent solutions using requisite platforms and programming languages within the field of Machine Learning and Artificial Intelligence
  • Strategic Planning and Decision-Making
  • Students will be able to adapt strategies in response to evolving market dynamics, emerging technologies, and shifting consumer preferences.

About the instructor

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33 Courses

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Students: Max 0
Level: Intermediate
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Requirements

  • Fresh graduates or final year students seeking a career in computer and software industry
  • Working professionals seeking higher education in computer technology and those wishing to further their knowledge to solve complex real world issues and build cutting edge products.
  • Aspirants willing to explore career opportunities in private/public sector organizations in industries including IT & ITES, Financial Services, and more, as Computer programmer, Information Security Analyst, Network and test Engineer, Database Administrator, Quality Assurance Engineer, Full Stack Developer, among others.