BCA Data Science and Analytics- Jain University

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The Online BCA in Data Science and Analytics from Jain University is designed to prepare students for the dynamic world of data-driven decision-making. This program equips learners with strong foundational knowledge in computer applications while offering advanced skills in Python, R programming, Machine Learning, Data Mining, and Visualization. With a practical and industry-aligned curriculum, it aims to transform learners into data analysts and data scientists ready to excel in the evolving tech landscape.

Duration

3 Years

Mode of Study

Fully Online (Recorded Classes, Live Doubt Clearing, Flexible Learning)

Fee Structure

INR ₹1,50,000 – ₹1,60,000

Eligiblity Criteria

Pass in 10+2 or equivalent examination from a recognized board with Mathematics as one of the subjects.

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hike

NAAC A++

UGC-Recognized University

hike

40-60%

Increased Employability

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3-5%

YoY growth in IT-related jobs

Why you should join this course?

A rad wolf

Equips you with Python, R, Machine Learning, and Data Visualization skills aligned with market demand.

Focus on practical labs, real-world case studies, and projects to build job-ready expertise.

Learn from industry professionals and experienced academic mentors guiding you throughout.

Designed for careers in Data Science, Business Analytics, and AI roles with high growth potential.

Balance your studies with other commitments through Jain’s user-friendly online learning platform.

Benefits of joining this course?

benefit one
Global Recognition

Degree awarded by Jain (Deemed-to-be University), an NAAC A++ accredited university.

benefit two
Placement Assistance

Access to career support, placement opportunities, and top recruiter networks.

benefit three
Skill Certification Opportunities

Earn certifications in Python, Data Science, and tools like Tableau, boosting.

Our Comprehensive curriculum, Designed for professionals

  • English
  • Fundamentals of Mathematics
  • Problem Solving using C
  • Computer Architecture
  • Digital Fluency and Financial Modeling
  • Problem Solving using C Lab
  • Digital Fluency and Financial Modeling Lab

  • Communicative English
  • Operating System
  • Data Structures using C
  • Relational Database Systems
  • Generative AI Applications in Modern Computing
  • Data Structures using C Lab
  • Relational Database Systems Lab

  • Python Programming
  • Design and Analysis of Algorithms
  • Software Engineering
  • Computer Networks
  • Environmental, Social, and Governance (ESG) in IT
  • Python Programming Lab
  • Design and Analysis of Algorithms Lab

  • Web Technologies
  • Predictive Analytics Using Machine Learning
  • Data Visualization Techniques
  • Statistical Analysis
  • Quantitative Techniques
  • Web Technologies Lab
  • Predictive Analytics Using Machine Learning lab

  • Block Chain Technologies
  • IT Project Management
  • Fundamentals of Data science
  • Big Data Analytics
  • Natural Language Processing
  • Advanced Software Development Practices

  • Artificial Intelligence
  • Time Series Analysis
  • Data Mining Techniques
  • R Programming
  • Project

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About the university

A rad wolf
Jain University

Founded in the early 1990s by the visionary Dr. Chenraj Roychand, the JAIN Group reimagined traditional education by focusing on innovation and entrepreneurship, establishing itself as a leader in the academic sector. With a commitment to shaping professionals ready to excel in the corporate world and contribute to global economic growth, the JAIN Group continues to prepare its students for high-impact careers. The year 1990 marked a significant milestone with the establishment of JAIN (Deemed-to-be University), now ranked among India’s top universities and attracting students from over 35 countries to Bengaluru, India’s entrepreneurial hub. Renowned for its focus on education, research, entrepreneurship, and sports, JAIN (Deemed-to-be University) is home to some of the best minds in academia, fostering innovation and groundbreaking research that aims to simplify and improve everyday life.

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