BCA Data Science – Program Overview
The BCA Data Science program at Vels Institute of Science, Technology & Advanced Studies is a future-focused undergraduate course designed to equip students with strong computing fundamentals, programming expertise, and advanced data analysis skills. The program prepares students to work with large datasets, build predictive models, and make data-driven decisions in real-world business environments.
Course Duration
Three Years (Six Semesters)
Option available for BCA Honours in the fourth year
Semester Wise Syllabus
Year 1 – Foundation Level
Semester 1
Fundamentals of Computers
Programming in C
Mathematics for Computing
Digital Logic Fundamentals
Communication Skills
Semester 2
Data Structures
Object Oriented Programming with C++
Discrete Mathematics
Database Management Systems
Environmental Studies
The first year focuses on building a strong base in programming, mathematics, and core computer science concepts.
Year 2 – Core Data Science
Semester 3
Python Programming
Operating Systems
Computer Networks
Statistics for Data Science
Data Visualization
Semester 4
Java Programming
Software Engineering
Web Technologies
Machine Learning Basics
Big Data Fundamentals
The second year introduces data science concepts, statistical analysis, and modern technologies used in data-driven industries.
Year 3 – Advanced Specialization
Semester 5
Data Mining
Artificial Intelligence
Deep Learning Basics
Cloud Computing
Data Analytics Tools
Semester 6
Natural Language Processing
Business Intelligence
Predictive Analytics
Cyber Security
Project Work or Internship
The final year focuses on advanced data science techniques, real-world applications, and industry exposure through projects and internships.
Practical Learning
Students gain hands-on experience through coding labs, data analysis projects, machine learning model development, and internships. The program emphasizes real-time datasets and industry-relevant tools.
Career Opportunities
Graduates can pursue roles such as Data Analyst, Data Scientist, Machine Learning Engineer, Business Analyst, and Software Developer in IT companies, startups, and analytics firms.
