What Subjects Are Covered in Amity Online's BCA in Data Analytics?

Updated: 5 May 2025, 3:17 pm IST

Amity Online provides an Online BCA in Data Analytics (Bachelor of Computer Applications specialising in Data Analytics). This 3-year course prepares students for the world of data analytics, programming, and technology. 

 

Let’s look at the Amity Online BCA subjects in the different semesters.

 

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Semester 1

 

The students will start with introductory topics in the first semester. They will pick subjects that enable them to develop core mathematics and computer science skills. The subjects include:

1) Basic Mathematics - I

This course equips students with mathematical skills, such as algebra, probability, and 

statistics, which form the fundamental concepts for the BCA Data Analytics syllabus.

2) Business Communication

Effective communication is important for all businesses. This subject prepares students for the professional corporate world by teaching them effective communication skills.

3) Computer and Information Technology

This field outlines the fundamentals of computers and information technology to students as it gauges their comprehension of technology.

4) Human-Computer Interaction

Students will learn about computer utilisation and how to develop efficient and effective systems.

5) Programming in C

C Programming deals with the core concepts of any IT domain. These lessons teach students how to create simple computer applications using the C programming language.

 

Semester 2

 

The second semester places more emphasis on data organisation and computer systems. Students are also introduced to certain components of conservation biology. It teaches:

1) Data Structures Using C [Core Courses]

This subject equips learners with data organisation and manipulation skills using various data structures in C programming language.

2) Environmental Studies [Core Courses]

Students are taught the environmental aspects of the world and how important it is for them to sustain it.

3) Individual Excellence and Social Dynamics

This enables students to develop and practise personal and interpersonal skills that will make them effective team and project leaders.

4) Operating System Concepts

This subject covers the principles behind how an operating system manages computer hardware and software resources.

5) Software Engineering and Modeling

It helps learners understand the steps in designing software applications, from requirements gathering to designing, constructing, and testing the application.

 

Semester 3

 

Students are introduced to data handling, programming, and statistics in the third semester. Some of the key subjects are:

1) Introduction to Database Management Systems [Core Courses]

Students learn about structured databases and the efficient management of huge datasets in their database systems.

2) Computational Statistics

This area centres on applying statistical techniques combined with computing for data processing.

3) Green Computing

Green computing is using computers and other technology resources in an environmentally friendly manner. Students will study energy-saving and ecological computing technologies.

4) Network Basics

Students will understand the fundamentals of computer networks and how information is transmitted from one computer to another.

5) Object-Oriented Programming Using Java

Java is among the top programming languages in BCA. This subject teaches students how to develop object-oriented applications using Java.

 

Also Read:- Does an Online BCA Hold the Same Value as a Regular BCA in India?

Semester 4

 

Students learn advanced programming and data-related concepts in the fourth semester. The subjects include:

1) Unix Operating System and Shell Programming

Students learn the Unix operating system and how to employ shell scripts as a command language to control the operating system.

2) Python Programming

Students will learn how to program in Python, one of the most popular languages for users in data analytics.

3) Excel- An Information Processing Tool

Excel is popular for analysing and processing information. Through this subject, learners will learn about Excel and how to process information using the tools available in Excel.

4) Data Mining and Warehousing

Data mining is the process of discovering patterns utilising huge volumes of data. This subject equips the learners with the skills to extract and save useful data in data warehouses.

5) Application Package Usability Engineering

This subject focuses on the concepts of developing user-centred software.

Semester 5

 

In the fifth semester, students explore advanced topics in artificial intelligence, e-commerce, and data analytics. The coursework includes:

1) Introduction to Construction and Purpose of Artificial Intelligence

Students get to learn the fundamental aspects of artificial intelligence, including machine learning and automation.

2) Fundamentals of E-commerce

It consists of topics related to online business, the operations, and the development of e-commerce sites.

3) Professional Ethics and Conduct

It constitutes the moral problems of technology, particularly how to behave and operate within the set boundaries in a professional environment.

4) Data Analytics and Reporting

This core subject for data analysts focuses on methods for analysing data and presenting insights through visual reports and observations.

5) Data Modelling & Visualisation

This subject teaches learners how to build models for data and how to represent data in a visually appealing manner that is easy to interpret.

 

Semester 6

 

The final semester focuses on applying the knowledge gained throughout the course. Students work on a major project and explore fields like cloud technology and game development. The subjects include:

1) Major Project [Non-Teaching Credit Courses]

Students must perform a major project in the last semester to integrate all the knowledge they have learnt in the program.

2) Big Data on Cloud

This modern professional page explains the concept of big data and how it is processed and stored in cloud technology.

3) Design Thinking

Design thinking is a customised method to solve challenges. Students will know how to address real-world challenges using a design-centered process.

4) Intelligent Game Design

This course teaches students to design and develop intelligent games incorporating artificial intelligence models.

Why Pursue BCA Course in Data Analytics?

Anyone passionate about technology and analytics will find pursuing a BCA in Data Analytics from Amity University Online a good choice. At a time when almost every industry is being bombarded with data, skilled data analysts are in high demand across industries.

 

With the explosive growth in industries, this course equips students with the necessary programming, data management, and analytics tools for gratifying career opportunities in data science, AI, and business intelligence. 

Conclusion

Amity Online’s BCA in Data Analytics provides a well-rounded learning experience for students interested in technology. The program covers essential subjects like C, Java, Python, databases, artificial intelligence, and data mining, ensuring a strong mix of theory and practical skills. With this knowledge, graduates can confidently pursue careers in data analytics, software development, and other technology fields.

Siddharth

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