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What is online BCA in Data Analytics all about?

The BCA in Data Analytics at Amity University focuses on data analysis, machine learning, and business intelligence. The program covers topics like data visualization, predictive analytics, and statistical methods, preparing students for roles in data science and analytics.

Subjects & Syllabus

Term I
  • • Fundamentals of Computer Science
  • • Mathematics for Computing
  • • Introduction to Programming
  • • Business Communication
  • • Fundamentals of IT
Term II
  • • Data Structures & Algorithms
  • • Operating Systems
  • • Web Development
  • • Database Management Systems
  • • Human-Computer Interaction
Term III
  • • Data Analysis Techniques
  • • Software Engineering
  • • Discrete Mathematics
  • • Cloud Computing
  • • Data Visualization
Term IV
  • • Big Data Analytics
  • • Machine Learning
  • • Business Intelligence
  • • Advanced Database Management Systems
  • • Research Methodology
Term V
  • • Natural Language Processing
  • • Data Mining
  • • AI and Data Science
  • • Data Security
  • • Cloud and Virtualization
Term VI
  • • Advanced Data Analytics
  • • Data Governance
  • • Blockchain Technology
  • • Capstone Project

Eligibility & Duration

🗓️ Course Duration

3 Years

✅ Eligibility

10+2 pass out or equivalent

📘 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 : ₹1,50,000

Registration Fee : ₹1,000

Total Fee: ₹1,51,000

EMI Option
(6 Months)

₹25,166.67/month

EMI Option
(12 Months)

₹12,583.33/month

EMI Option
(24 Months)

₹6,291.67/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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