Bachelor of Computer Application Data Analytics

Empower your data skills with the BCA Data Analytics Course


The Bachelor of Computer Applications (BCA) in Data Analytics is an undergraduate program that focuses on developing students' skills and knowledge in the field of data analytics. This course provides a comprehensive understanding of data analysis techniques, tools, and technologies used to extract valuable insights from large datasets.

The course curriculum covers a wide range of subjects including programming languages, database management systems, statistical analysis, data mining, data visualisation, machine learning, and predictive modelling. Students gain proficiency in programming languages such as Python, R, and SQL, which are widely used in data analytics.

Throughout the program, students are exposed to real-world data sets and case studies, allowing them to apply their knowledge and skills to solve practical data analysis problems. They learn to collect, clean, analyse, and interpret data to derive meaningful conclusions and make data-driven decisions.

Upon completion of the program, graduates can pursue various career paths in the field of data analytics. They can work as data analysts, data scientists, business analysts, database administrators, data engineers, or data consultants in diverse industries such as finance, healthcare, marketing, e-commerce, and more.


The core subjects in the Bachelor of Computer Applications (BCA) program with a specialisation in Data Analytics may vary depending on the specific curriculum of the institution. However, here are some common subjects in a BCA program with a focus on Data Analytics:

  • Introduction to Data Analytics
  • Programming Languages
  • Database Management Systems
  • Statistics and Probability
  • Data Mining
  • Data Visualization
  • Machine Learning
  • Big Data Analytics
  • Data Ethics and Privacy
  • Project Work

Various specific subjects help the students to gain professional knowledge about data analytics. Moreover, the students must refer to the curriculum of the particular institution for more accurate and detailed information.

Practical Learning

Practical learning plays a crucial role in the BCA Data Analytics. It allows students to apply their theoretical knowledge to real-world scenarios, develop technical skills, and gain hands-on experience in data analytics. Here are some key aspects of practical learning in BCA (Data Analytics) programs:

  • Lab Sessions
  • Data Analysis Projects
  • Case Studies
  • Internships and Industry Collaborations
  • Workshops and Guest Lectures
  • Data Visualisation and Reporting 

Additionally, the students will be engaged in the capstone projects for more clarification of the data analytics tools and techniques.

Course Curriculum

The course curriculum of a Bachelor of Computer Applications (BCA) program with a specialisation in Data Analytics is listed in the data table given below: 

First Year 

  • Introduction to Computer Science
  • Programming Fundamentals
  • Data Structures
  • Object-Oriented Programming
  • Database Management Systems
  • Mathematics for Computer Science
  • Computer Networks
  • Web Technologies
  • Data Visualization

Second Year 

  • Algorithms and Problem Solving
  • Operating Systems
  • Data Communication and Networking
  • Statistical Methods for Data Analytics
  • Introduction to Data Analytics
  • Python Programming
  • Data Warehousing and Data Mining
  • Big Data Analytics
  • Business Intelligence

Third Year 

  • Machine Learning
  • Data Science
  • Predictive Analytics
  • Data Quality and Preprocessing
  • Data Analytics Tools and Techniques
  • Natural Language Processing
  • Data Privacy and Security
  • Data Analytics Project Management
  • Elective Courses (optional, depending on the university)

Top Institutes

Several reputed institutes in India offer BCA programs with a specialisation in Data Analytics. Here are some top institutes offering this degree course:

  • Indian Institute of Technology (IIT), Madras
  • Indian Statistical Institute (ISI), Kolkata
  • Indian Institute of Technology (IIT), Delhi
  • Christ University, Bangalore
  • Loyola College, Chennai
  • St. Xavier's College, Mumbai
  • Presidency College, Kolkata
  • Amity University, Noida
  • Symbiosis International University, Pune
  • University of Delhi, Delhi
  • Manipal Academy of Higher Education, Manipal
  • Vellore Institute of Technology (VIT), Vellore
  • Narsee Monjee Institute of Management Studies (NMIMS), Mumbai
  • SRM Institute of Science and Technology, Chennai
  • Lovely Professional University, Punjab

The above-listed universities and institutes often provide students with opportunities for practical learning, internships, and industry collaborations to enhance their skills in data analytics.

Career Growth

The career prospects for Bachelor of Computer Applications (BCA) graduates specialising in Data Analytics are promising, given the increasing demand for data professionals in various industries. Here are some key aspects BCA (Data Analytics) graduates can expect after the completion of their degree:

  • Rising Demand
  • Diverse Industry Opportunities
  • Specialisation and Advancement
  • Career Roles and Progression
  • Entrepreneurial Opportunities
  • Continuous Learning and Skill Development
  • Global Career Opportunities

To maximise the opportunities, graduates should participate in data analytics projects to gain practical experience


The scope of a Bachelor of Computer Applications degree with a specialisation in Data Analytics is quite promising in today's data-driven world. Here are some key aspects that make the BCA (Data Analytics) degree well-versed and most sought-after:

  • Growing Demand
  • Diverse Industries
  • Data-Driven Decision Making
  • Career Opportunities
  • Advanced Technologies
  • Entrepreneurship Opportunities
  • Further Education and Specialization

Furthermore, there are ample opportunities in the field of data analytics that a student can pursue with the proper development of a strong portfolio, practical experience and actively participating in hackathons

Pros & Cons

Pros of pursuing a BCA Data Analytics :

  • Data-driven decision making
  • High Demand
  • Professional Growth
  • Unlimited Opportunities
  • Industry Related Skills 

Cons of pursuing a BCA Data Analytics :

  • Complex Data Analytics Concepts
  • Continuous Learning
  • Technical Complexity
  • Dynamic Industry
  • Competition