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Master of Computer Applications with specialization in Machine Learning: Admission, Eligibility, Courses, Fees, Syllabus

MCA in Machine Learning – Overview

The MCA in Machine Learning is a 2-year postgraduate program that blends computer applications with artificial intelligence and data-driven technologies. It focuses on programming, algorithms, mathematics, deep learning, and real-world AI applications. This course is designed for students aspiring to build expertise in data science, AI, and ML-driven solutions across industries like IT, healthcare, finance, e-commerce, and automation.

Highlights

  • Duration: 2 Years (4 Semesters)

  • Mode: Regular / Online / Distance (varies by university)

  • Focus: Python, R, Data Science, Neural Networks, NLP, Big Data, Deep Learning

  • Industry-driven curriculum with real-time projects & internships

  • Career scope in Data Science, AI, and ML Engineering

mca in machine learning Course Curriculum (Key Subjects)

  1. Advanced Programming in Python & R

  2. Data Structures & Algorithms

  3. Probability & Statistics for ML

  4. Machine Learning & Deep Learning

  5. Natural Language Processing (NLP)

  6. Big Data Analytics

  7. Artificial Neural Networks

  8. Cloud Computing & IoT Applications in AI

  9. Capstone Project & Internship

mca in machine learning Fees Structure

  • Public Universities: ₹80,000 – ₹1.5 Lakh (total)

  • Private/Deemed Universities: ₹2 – ₹4 Lakh (total)

  • Online/Distance Programs: ₹70,000 – ₹2.5 Lakh (total)

mca in machine learning Eligibility

  • Bachelor’s degree in Computer Applications / Computer Science / IT / Mathematics (BCA, B.Sc, B.Tech, or equivalent).

  • Minimum 50% aggregate marks (relaxation for reserved categories as per norms).

  • Some universities may require entrance exams (like NIMCET, CUET-PG, or university-specific tests).

mca in machine learning Placement Opportunities

Students get placed in IT giants, AI startups, fintech firms, healthcare tech, and consulting companies with an average package of ₹6–12 LPA, while top performers in leading companies can bag ₹15–20 LPA.

Top Recruiters

  • Google

  • Microsoft

  • Amazon

  • TCS

  • Infosys

  • Wipro

  • HCL

  • Deloitte

  • Accenture

  • IBM

  • Flipkart

  • Byju’s (EdTech AI applications)

Job Roles After MCA in Machine Learning

  • Machine Learning Engineer

  • Data Scientist

  • Artificial Intelligence Engineer

  • Business Intelligence Analyst

  • Data Engineer

  • NLP Engineer

  • Research Scientist (AI/ML)

  • Software Engineer – AI/ML Applications

  • Big Data Analyst

This specialization is future-proof, as AI & ML are driving the 4th Industrial Revolution. Students can secure roles across IT, finance, healthcare, retail, and even government sectors where AI adoption is growing.

FAQs MCA in Machine Learning

Q1. What is MCA in Machine Learning?
Ans. It is a 2-year postgraduate program that combines computer applications with Artificial Intelligence (AI), Data Science, and Machine Learning (ML) concepts. Students learn programming, algorithms, big data, NLP, and deep learning to build intelligent systems.

Q2. Is an MCA in Machine Learning better than a regular MCA?
Ans. Yes. While a regular MCA focuses on general computer applications, MCA (ML specialization) offers cutting-edge AI & ML skills that are highly demanded in IT, finance, healthcare, and e-commerce industries.

Q3. What is the eligibility for this course?
Ans. A Bachelor’s degree in Computer Science / BCA / IT / Mathematics / Engineering with at least 50% aggregate marks. Some universities also conduct entrance exams like NIMCET, CUET-PG, or their own tests.

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