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What is online MCA in Machine Learning all about?

The MCA in Machine Learning at VIT University prepares students to design algorithms that can learn from data. The course covers supervised and unsupervised learning, reinforcement learning, neural networks, and model optimization. The program is entirely online, offering flexibility for those with busy schedules.

Subjects & Syllabus

Term I
  • • Foundations of Machine Learning
  • • Introduction to Machine Learning
  • • Types of Machine Learning: Supervised, Unsupervised, Reinforcement
  • • Data Preprocessing and Cleaning
  • • Exploratory Data Analysis
Term II
  • • Supervised Learning Algorithms
  • • Linear and Logistic Regression
  • • Decision Trees and Random Forests
  • • Support Vector Machines (SVM)
  • • K-Nearest Neighbors (KNN)
Term III
  • • Unsupervised Learning
  • • Clustering Techniques: K-Means, Hierarchical Clustering
  • • Principal Component Analysis (PCA)
  • • Association Rules and Market Basket Analysis
Term IV
  • • Neural Networks and Deep Learning
  • • Introduction to Neural Networks and Backpropagation
  • • Convolutional Neural Networks (CNN)
  • • Recurrent Neural Networks (RNN)
  • • Model Evaluation and Optimization
  • • Performance Metrics and Cross-Validation
  • • Hyperparameter Tuning and Overfitting

Eligibility & Duration

🗓️ Course Duration

2 Years

✅ Eligibility

Bachelor's degree from a recognized university

📘 Learning Mode

Online

💳 EMI Options

Available

Eligibility: Bachelor's degree in any discipline from a recognized university. Professionals with work experience are preferred but not mandatory. *

Program Fee

Total Fee

Tuition Fee : ₹1,60,000

Registration Fee : ₹1,200

Total Fee: ₹1,61,200

EMI Option
(6 Months)

₹23,500/month

EMI Option
(12 Months)

₹11,750/month

EMI Option
(24 Months)

₹5,875/month

Admissions Process

Step 1
Application

Fill out the online application form with your personal and academic details.

Step 2
Document Submission

Submit necessary documents like transcripts, resume, and statement of purpose.

Step 3
Interview & Admission

Attend an online interview and complete the final admission process.

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