BCA in Data Analytics

Bachelor of Computer Application (BCA) with Specialisations

Data Analytics

Eligibility

Interested students applying for BCA in Data Analytics must pass 10+2 in the Science or Commerce stream with Maths/Statistics/Computer Science/Information Practice as one of their core subjects in PUC / ISC / CBSE or an equivalent board recognised by JAIN (Deemed-to-be-University)

Overview

Bachelor’s degree in Computer Applications - Data Analytics at JAIN (Deemed-to-be-University) is an industry-centric programme focusing on core aspects of Data Analytics such as data mining, data optimisation, data visualisation, and data simulation. The programme also trains students in the technical skills and aptitude required in data management. The programme prepares students to be market-ready to face the challenges of a modern technological global environment. Thus putting JAIN (Deemed-to-be-University) on the map of being one of the top BCA data analytics colleges in Bangalore for aspiring students.

Enrol today in the BCA in Data Analytics programme to turn data into actionable insights and move towards a rewarding tech career. Students can choose between:

A 3-year undergraduate degree or
A 4-year undergraduate degree with honours

Certification Offered:

Coursera certification in Data Analysis and Visualisation with Power BI. In collaboration with Coursera, students are trained in practical knowledge of data modelling, visualisation, and business intelligence tools, preparing them for industry-relevant roles. This unique offering places the university among the best BCA data analytics colleges in Bangalore.

Course Highlights

The uniquely designed program, with valuable inputs from industry experts from leading analytics firms, is well-structured to give students a perfect balance of theoretical concepts and hands-on practice. Students understand:

Intensive assignments, case studies, and projects are integral to the programme
Popular tools/software such as Basic Data Querying (SQL, Excel), Hadoop, MapReduce, Pig, Hive, Neo4j, Casandra, MongoDB, HBase, and Python; statistical Packages like R, SAS, and Advanced Excel, R Programming; and data science tools like Tableau, Microsoft Power BI, Computer-Based Optimisation Techniques, Machine Learning Theory, Big Data Analytics, Probability Statistics and Techniques, Data Warehouses, and Data Mining.

The BCA in Data Analytics programme curriculum is aligned with current industry standards, making it one of the most sought-after data analytics courses in Bangalore.

Career Enhancement Programme:

The focal points of BCA with Data Analytics are building expertise in data analysis concepts and providing hands-on experience to students in Python programming, R programming, statistical analysis of data, concepts of machine learning, and big data analytics. A detailed BCA Data Analytics syllabus ensures that students gain a complete knowledge of the subject, which is essential for success.

BCA-Data Analytics graduate students have a bright future. They can either make a mark in the tech industry or continue higher education in a specialised field of computer application.

Apply Now WhatsApp

Course code : 044B

Course Commencement : Jul 2026

admission.set@jainuniversity.ac.in

Study Campus

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 8310942174

Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 8310942174
080 - 69279444

Curriculum Structure

Fundamentals of Mathematics
Problem Solving Techniques
Computer Organization
Language I: Kannada / Sanskrit / Hindi / Additional English
English – I
Problem Solving Techniques Lab
Computer Organization Lab
Mind Management and Human Values – I
Transdisciplinary Project Centric Learning I

Data Structures
Operating Systems
Language II: Kannada / Sanskrit / Hindi / Additional English
English – II
Data Structures Lab
Object Oriented Programming using Java Lab
Mind Management and Human Values – II
Transdisciplinary Project Centric Learning I
Open Elective

Research Methodology
Quantitative Aptitude
Computer Networks
Professional Elective – I
1. Software Engineering
2. Software Project Management
Environmental Science and Sustainability
Professional Elective – II
1. Database Management System
2. DB2
Summer Internship 1 (6 to 8 Weeks)
Problem Solving using Python
Problem Solving using Python Lab
Professional Elective – II Lab
1. Database Management System Lab
2. DB2 Lab
Computer Networks Lab
Transdisciplinary Project Centric Learning II
Open Elective

Introduction to Data Analytics
Applied Research
Professional Elective – III
1. Advanced Python Programming
2. Introduction to Data Science
Professional Elective – IV
1. Data Mining and Data Warehousing
2. Exploratory Data Analytics
Competitive Coding
Design Thinking and Innovation / SWAYAM Course
Introduction to Data Analytics Lab
Professional Elective – III Lab
1. Advanced Python Programming Lab
2. Introduction to Data Science Lab
Transdisciplinary Project Centric Learning II
Open Elective

Track 1 – Conventional Approach

Machine Learning
User Interface Design (UI/UX)
Professional Elective – V
1. Data Security and Privacy
2. Artificial Intelligence
Professional Elective – VI
1. Tableau
2. Non-Relational Database Management System
Professional Elective – VII
1. R Programming
2. Cloud Data Analytics
Professional Elective – VI Lab
1. Tableau Lab
2. Non-Relational Database Management System Lab
Professional Elective – VII Lab
1. R Programming Lab
2. Cloud Data Analytics Lab
Summer Internship 2 (6 to 8 weeks)
Transdisciplinary Project Centric Learning III

Track 2 – Capstone Project

Professional Elective – V
1. Data Security and Privacy
2. Artificial Intelligence
Professional Elective – VI
1. Tableau
2. Non-Relational Database Management System
Professional Elective – VII
1. R Programming
2. Cloud Data Analytics
Professional Elective – VI Lab
1. Tableau Lab
2. Non-Relational Database Management System Lab
Professional Elective – VII Lab
1. R Programming Lab
2. Cloud Data Analytics Lab
Capstone Project
Summer Internship 2 (6 to 8 weeks)
Transdisciplinary Project Centric Learning III

Track 3 – Entrepreneurship

Professional Elective – V
1. Data Security and Privacy
2. Artificial Intelligence
Professional Elective – VI
1. Tableau
2. Non-Relational Database Management System
Professional Elective – VII
1. R Programming
2. Cloud Data Analytics
Professional Elective – VI Lab
1. Tableau Lab
2. Non-Relational Database Management System Lab
Professional Elective – VII Lab
1. R Programming Lab
2. Cloud Data Analytics Lab
Entrepreneurship
Summer Internship 2 (6 to 8 weeks)
Transdisciplinary Project Centric Learning III

Track 4 – Internship/Placement

Professional Elective – V
1. Data Security and Privacy
2. Artificial Intelligence
Professional Elective – VI
1. Tableau
2. Non-Relational Database Management System
Professional Elective – VII
1. R Programming
2. Cloud Data Analytics
Professional Elective – VI Lab
1. Tableau Lab
2. Non-Relational Database Management System Lab
Professional Elective – VII Lab
1. R Programming Lab
2. Cloud Data Analytics Lab
Internship/Placement
Summer Internship 2 (6 to 8 weeks)
Transdisciplinary Project Centric Learning III

Track 1 – Conventional Approach

Big Data Analytics
Professional Elective – VIII
1. Deep Learning for Computer Vision
2. Text Analytics & NLP
Professional Elective – IX
1. POWER BI Analytics
2. Forensics Analytics
Capstone Project
Transdisciplinary Project Centric Learning III

Track 2 – Capstone Project

Big Data Analytics
Professional Elective – VIII
1. Deep Learning for Computer Vision
2. Text Analytics & NLP
Professional Elective – IX
1. POWER BI Analytics
2. Forensics Analytics
Capstone Project
Transdisciplinary Project Centric Learning III

Track 3 – Entrepreneurship

Big Data Analytics
Professional Elective – VIII
1. Deep Learning for Computer Vision
2. Text Analytics & NLP
Professional Elective – IX
1. POWER BI Analytics
2. Forensics Analytics
Entrepreneurship
Transdisciplinary Project Centric Learning III

Track 4 – Internship/Placement

Big Data Analytics
Professional Elective – VIII
1. Deep Learning for Computer Vision
2. Text Analytics & NLP
Professional Elective – IX
1. POWER BI Analytics
2. Forensics Analytics
Internship/Placement
Transdisciplinary Project Centric Learning III

BCA Honours

Predictive Analytics
Information Retrieval Techniques
Blockchain for Security
Professional Elective – X
1. Web Analytics
2. Social Network Analysis
Professional Elective – XI
1. Prescriptive Analytics
2. Cloud Computing for Data Analytics
Predictive Analytics Lab
Information Retrieval Techniques Lab
Dissertation Work
Summer Internship – 3

BCA Honours with Research

Information Retrieval Techniques
Interdisciplinary Research in Science and Technology
Research Project
Professional Elective – X
1. Business Intelligence
2. Cloud Computing for Data Analytics
Professional Elective – XI
1. Web Analytics
2. Social Network Analysis
Information Retrieval Techniques Lab
Summer Internship – 3

BCA Honours

Professional Elective – XII
1. Advanced Data Science with R
2. Data Analysis Using MATLAB
Professional Elective – XIII
1. Data Ethics and Privacy
2. Introduction to IoT
Professional Elective – XIV
1. Advanced Data Visualization (D3.js, Google Studio)
2. Data Curation and Visualization
Dissertation Work

BCA Honours with Research

Dissertation (For Research Track)

Career Outcomes

Pathway After BCA DA – Bachelor of Computer Application with Data Analytics

The programme stands among the leading data analytics courses in Bangalore, offering the right blend of theory and practical exposure to students looking to kick-start a data-driven career. Freshers and experienced individuals are provided with an opportunity to work as:

Data scientist
Data Engineer
Healthcare analyst
Statistician
Business analyst
Technical team leader
Big data analyst
Quantitative analyst
Project manager
Market research analyst
Computer system analyst and more

Be a part of one of the leading data analytics courses in Bangalore to kick-start a data-driven career today!

FAQ's

Does Data Analytics require coding?

Basic coding skills in languages like Python, R, and SQL can be helpful, but many data analytics tools allow analysis without extensive programming knowledge.

Is Data Analyst a stressful job?

A data analyst's job is not stressful if managed through a planned structure. The key to working stress-free as a data analyst is strong time management and a planned strategy to meet deadlines.

Is Data Analytics a good career?

Yes. Data Analytics is a promising career with high demand across industries. It offers good salaries and opportunities for growth.

Can a BCA student become a Data Analyst?

Yes. A BCA student can become a Data Analyst by pursuing an appropriate and well-designed course, such as the BCA in Data Analytics offered by JAIN (Deemed-to-be University). The students must learn about data analysis tools, statistics, and programming languages.

Is Data Analytics in demand?

Yes. Data Analytics is in high demand. Numerous businesses depend on data analysis to achieve their objectives.

Is it worth studying Data Analytics?

Yes. Studying Data Analytics as a degree in Data Analytics opens doors to rich and diverse career opportunities in various industries like healthcare, technology, etc.

Is there coding in Data Analytics?

Yes. Data analytics involves coding, too. Tasks such as visualisation and analysis require knowledge of coding in data analytics.

What is the scope of Data Analytics?

The scope of Data Analytics is vast. Various industries, such as finance, healthcare, marketing, etc., use data analytics to understand market trends, plan strategies, and fulfil various business objectives.

Who is eligible for Data Analyst?

Anyone with a background in mathematics, computer science, or business, along with knowledge of data tools and statistics, can become a Data Analyst. The minimum qualification required is a pass in the 10+2 Science or Commerce with Maths/Statistics/Computer Science/Information Practice as one of the core subjects in PUC / ISC / CBSE or an equivalent board.