ONLINE BCA In Artificial Intelligence and Data Science - Just Education

Overview

Master and gain practical expertise in Cloud Computing for scalable solutions, Big Data Analytics for actionable business insights, and NLP for real-world language processing. Master AI & Machine Learning and visualize data impactfully with Power BI and Tableau – skills directly applicable to today’s leading industries.

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 BCA in India.

Sample Certificate

Electives / Specializations

Cloud Computing Foundation
Exploratory Data Analysis using Python
Big Data Analytics and Visualization
Business Analytics
Data Analysis using Microsoft Excel
Data Governance
Natural Language Processing
Data Visualization using Power BI
Text Mining and Analytics
Applications of Machine Learning
Tableau for Business Intelligence
Artificial Neural Networks and Applications

FULL COURSE FEE

1,65,000/- (INCLUDING ALL TAXES)

SEMESTER FEE 27,500/-

MONTHLY EMI 5,000/-

Scholarship Category

Course Structure

SEMESTER 1

Communicative English -1
Foundations of Applied Mathematics – Part I
Principles of Management
Computer Essentials
Problem Solving and Algorithmic Thinking

SEMESTER 2

Professional Communication
Foundations of Applied Mathematics – II
Operating System and Computer Architecture
Object Oriented Programming using Java
Database Management System
Database Management System Lab
Object Oriented Programming using Java Lab

SEMESTER 3

Data Structures and Algorithms
Computer Networks
Environmental Science and Sustainability
Linear Algebra for Data Science
AI & DS Elective I
AI & DS Elective II
Data Structures and Algorithms Lab

SEMESTER 4

Soft Skills
Web Application Development
Data Mining
Software Engineering
Professional Elective III
AI & DS Elective IV
Web Application Development -Lab

SEMESTER 5

C# and .NET Framework
Foundations of Machine Learning
Essentials of Cyber Security
Professional Elective V
Professional Elective VI
Case Study

SEMESTER 6

Capstone Project
Mobile Application Development
Professional Elective VII
Professional Elective VIII

Eligibility

Educational Qualification

Candidates must have an aggregate minimum of 45% marks. Candidates must have passed 10 + 2 Candidates who have passed a 3-year diploma can also apply

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