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BCA in Data Analytics Online Program

The Bachelor of Computer Applications (Data Analytics) is a specialized undergraduate degree program that focuses on providing students with the knowledge and skills necessary to harness the power of data for informed decision-making and problem-solving. This program combines the principles of computer science, mathematics, and statistics with a strong emphasis on data analytics techniques, tools, and technologies.

duration : 03 Years
Category : Computer Science & Information Technology

The benefits of an online BCA in Data Analytics

  • Growing Industry: Data analytics is a rapidly expanding field with increasing demand for skilled professionals. Completing a BCA in Data Analytics can make you eligible for a wide range of job opportunities.
  • Versatility: Data analytics skills are transferable across various industries and domains, including finance, healthcare, marketing, and more.
  • Data-Driven Decision Making: You'll be equipped to make data-driven decisions, helping organizations improve efficiency, identify trends, and enhance their overall performance.
  • High Demand for Data Analysts: Skilled data analysts are in high demand, and the job market is competitive. A BCA in Data Analytics can give you a competitive edge in the job market.
  • Continuous Learning and Growth: Data analytics is a field that continually evolves with advancements in technology and methodologies. Pursuing a BCA in Data Analytics can pave the way for continuous learning and professional growth.
  • Salary Potential: Data analysts often receive competitive salaries due to their specialized skills and value in driving business insights.
  • Contribution to Innovation: Data analytics plays a significant role in innovation and problem-solving across various industries, making it an exciting field to work in.

Learning Resources


Learnings in BCA in Data Analytics

  • Programming Fundamentals: You will learn programming languages such as Python, R, SQL, or others that are commonly used in data analytics to manipulate and analyze data.
  • Data Manipulation and Visualization: You'll learn how to clean, preprocess, and transform raw data into a structured format. Data visualization techniques using tools like Tableau or matplotlib may also be covered.
  • Statistical Concepts: Understanding statistical methods is essential in data analytics. You may study topics like probability, hypothesis testing, regression analysis, and other statistical techniques.
  • Data Mining and Machine Learning: You may explore data mining techniques to discover patterns and insights from large datasets. Machine learning concepts and algorithms for predictive analysis might also be included.
  • Big Data Technologies: Some programs might introduce you to big data technologies like Hadoop and Spark, which are commonly used for handling and processing large-scale datasets.
  • Database Management Systems: You'll likely learn about database concepts and how to work with relational database management systems (RDBMS) like MySQL or PostgreSQL.
  • Data Ethics and Privacy: Understanding the ethical implications of data analytics and the importance of data privacy and security is crucial in today's data-driven world.
  • Real-world Projects: Many programs incorporate hands-on projects where you'll work with real datasets and solve practical problems to gain practical experience.


Successful completion of the program shall award the degree titled - Bachelor of Computer Applications (Data Analytics). The Visvesvaraya Technological University is UGC and NAAC accredited to offer the online Data Analytics Degree program. The degree holds the same merit as a regular one. It’s universally accepted and validated for further education and job prospects.


Candidate should have passed in 10 + 2 / Diploma of any stream / Any Equivalent Certificate to PUC

  • Foundation Mathematics - I
  • Fundamentals of Computers
  • Programming in C
  • Introduction to Operating system
  • Programming in C Lab
  • IT Lab
  • Data Structures using C++
  • Foundation Mathematics - II
  • Professional Communication and Ethics
  • Database Management System
  • Database Management System Lab
  • Data Structure Lab
  • Python Programming
  • Object Oriented Programming Using Java
  • Analysis & Design of Algorithm
  • Computer Networks
  • Python Lab
  • Java Lab
  • Web Programming
  • Introduction to Numpy and Pandas
  • Software Engineering
  • Introduction to Artificial Intelligence
  • Web Lab
  • Programming Lab Using Python - Numpy and Pandas
  • Computer System & Network Security
  • Machine Learning
  • Introduction to Data Mining
  • Big Data Analytics
  • ML Lab
  • Mini Project
  • Cloud Computing
  • Internship and Seminar
  • Project Work
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