Semester-Wise Breakdown of the Online BCA in Data Analytics Syllabus

5 March 2025, 12:52 pm IST

The (Bachelor of Computer Applications) Online BCA in Data Analytics is a three-year undergraduate course that helps students specialise in data analysis and interpretation. This online course allows students to study from anywhere. 

 

The program is UGC approved. It has six semesters with various subjects related to technology and data analysis. 

 

Did you know the data science positions are projected to grow by 34% between 2022-2032. This article shows the full syllabus for the semester so that students can understand the Online BCA syllabus breakdown properly.

 

 

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Full Syllabus of Online BCA in Data Analytics 

The course has 6 semesters, covering vast topics. Find details!

Semester 1

 

1. Computer and Information Technology- This subject covers all the hardware, software, and information technology topics. It gives a precise idea of how technology works in the real world.

 

2. Basic Mathematics I—This is one of the most important BCA Data Analytics subjects. Students get to learn basic mathematical skills, such as analysing and interpreting data.

 

3. Programming in C—The next important subject of semester 1 is programming C. This is an important programming language used in the majority of computer applications. Understanding C programming language is necessary to learn other 

programming languages.

 

4. Business Communication—Business communication is another subject of the online BCA syllabus. It improves the communication skills of business students and helps them learn basic and advanced communication lessons.

 

5. Human-Computer Interaction—This subject mainly covers how to improve the interaction between humans and computers and provides tips on how to improve the workings of computer systems.

Semester 2

 

1. Data Structure Using C—This is one of the most important subjects of the course. It covers the basics of data structures and how to organise data on a PC using the C programming language.

 

2. Operating System Concepts—This subject gives students an in-depth understanding of the various operating systems. Students learn the basics of Windows, Linux, and macOS. The course also trains students to run programs and manage hardware.

 

3. Individual Excellence and Social Dynamic—This subject focuses on developing students' personalities. By studying this subject, students can manage their time better and gain better social skills. 

 

4. Environmental Studies- Under this subject, students will learn the importance of sustainability. They will understand how to take care of the environment without damaging any natural resources.

 

5. Software Engineering and Modeling—This subject trains students in designing software. They will gain all the useful methods to keep all software systems working perfectly.

Semester 3

 

1. Computational Statistics- This subject forms a crucial part of the Semester-wise BCA syllabus. It helps the candidates to use statistics in solving different problems with the help of computers. 

 

2. Introduction to Data Base Management Systems (DBMS)- Students who choose Online BCA in Data Analytics must know the basic lessons of databases. Databases help you store and manage data. The students will learn to use databases to store important information in this subject.

 

3. Green Computing- This subject deals with eco-friendly technology. In green computing, the students will learn to preserve the environment from the harmful effects of technology.

 

4. Network Basics- Aspiring software professionals must know everything related to computer networks. This subject covers the fundamentals of computer networks. The students will know how computers work with the Internet and local networks.

 

5. Object-Oriented Programming Using Java- Java is another important programming language for BCA students to learn. In this subject, they will learn object-oriented programming with the help of Java language and how code works with Java.

Semester 4

 

1. Unix Operating System and Shell Programming- Most IT professionals use UNIX operating systems these days. This subject contains the lessons of the Unix operating system.

 

2. Python Programming- Many data analysts and programmers use Python language. This subject teaches students the full Python language and its application in the machine learning area.

 

3. Cyber and Information Security- In this subject, the students will learn the basics and advanced topics on cyber security. They will know how to safeguard information and computers from cyber threats. This subject also provides tips on maintaining the safety of the data.

 

4. Fundamentals of Cloud Computing and Enterprise- Cloud computing is a vital subject for BCA students, covering the principles of data storage and online accessibility. This course introduces the core concepts of cloud computing and entails how businesses leverage it for efficient data management.

 

5. Fundamentals of Digital Marketing- In this subject, the students will know how digital marketing channels work. They will also know how businesses reach potential customers with the help of digital marketing campaigns.

 

6. IT Project Management- The skill of project management is very important for BCA students. This subject enhances the project management skills of the students. They will also learn how to plan and execute different business projects.

 

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 Semester 5

 

1. Professional Ethics- This subject lists all the important ethics and moral principles to follow in a workplace. It also states how to run a business successfully with the help of professional ethics.

 

2. Artificial Intelligence (AI)- Students will know everything related to AI in this subject. The subject covers everything about artificial intelligence, from AI’s basics to machine learning models.

 

3. Fundamentals of E-commerce- The word E-commerce means the act of selling and buying things online. In this subject, the students will know all the basics of starting an online business. They will also learn the workings of the e-commerce industry.

 

4. Data Warehousing and Mining- Data warehousing trains students in gathering and storing business data for further analysis. On the other hand, data mining includes all the patterns in large data sets, which are necessary for analysing data.

 

5. Internet of Things (IoT)- IoT is a special brand in the technology world. It helps to connect the daily devices to the internet. The students will learn the full workings of IoT and how it is applied in different industries.

 

6. Introduction to Enterprise Resource Planning (ERP)- ETP systems organise the daily business operations. This subject introduces you to the basics of ERP systems and how they work to streamline business activities.

Semester 6

 

1. Major Project- In the sixth semester, students work on a major project, applying the skills they have learned since the first semester. This project showcases their expertise in a specific area.

 

2. Blockchain Technologies- Cryptocurrencies work with the help of Blockchain technology. In this subject, the students will know the workings of blockchain technology, the types of cryptocurrencies, and how blockchain works in different industries.

3. Human Resource Management- HRM is a concept of hiring and training personnel. This subject gives an outline of how to hire and train employees in a company or organisation. It also teaches on the ways to retain the employees in the organisation.

 

4. Introduction to Data Science- This subject covers the basics of data science, including key concepts in data analysis, statistics, and computer science.

 

5. Introduction to e-Governance- The students will get the full knowledge of e-Governance in this subject. They will get the information on how this system works.

 

Also Read:- Impactful Online Study Strategies for Effective Learning Outcomes

 

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Conclusion

These subjects highlight the Amity Online BCA course structure, which is designed to build a strong foundation in data analytics. Each subject plays a crucial role in developing essential skills, from problem-solving and statistical analysis to data interpretation. This program equips students with the knowledge and expertise needed to excel in the dynamic field of data analytics.

 

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