BCA

BCA (ADD-ON)

ARTIFICIAL INTELLIGENCE (AI), DATA ANALYTICS, CYBER SECURITY & ETHICAL HACKING, DIGITAL MARKETING, CLOUD COMPUTING, PYTHON

DURATION : 3 YEARS
ELIGIBILITY : PASS IN 10+2 / EQUIVALENT WITH MINIMUM OF 5 SUBJECTS

Add-Ons Overview

Detailed Follow-Up

ARTIFICIAL INTELLIGENCE (AI)

The Bachelor of Computer Applications (BCA) with specialization in Artificial Intelligence (AI) is a 3-year undergraduate program that focuses on providing students with a strong foundation in computer science and specialized training in AI, 

The program is designed to prepare students for a career in the technology industry, specifically in the field of AI.

Students will learn how to develop AI-based applications and algorithms, as well as how to analyze and interpret data using statistical and machine learning techniques. In addition to the theoretical knowledge, the program also provides hands-on training through projects and internships.

CLOUD COMPUTING

BCA Cloud Computing is an undergraduate program that teaches a student how to use a variety of web-based applications and services. It provides a solid background in programming, data structures, and operating systems. Students also gain an understanding of computer networks

Every university/Institute requires individuals to fulfill certain eligibility criteria to be granted admission into the undergraduate or postgraduate degree in computer science. The eligibility criteria for cloud computing may vary among different universities, especially with minimum marks requirements of the previous degree.

  • Cloud Engineer: Plan and conduct various technical tasks.
  • Cloud Service Developer: Design and build customer-facing tools that serve a gateway to users underlying cloud services.
  • Cloud Architect: Implement and develop cloud-based initiatives to make sure that systems are reliable, secure and achieve business goals.
  • Cloud Marketing: Develop and grow an outsourced cloud business with professionals.
  • Consultant: Conduct technical studies, evaluate business requirements.

CYBER SECURITY & ETHICAL HACKING

Ethical hacking uses similar methods that illegal hackers employ to infiltrate systems in a structured manner. The main difference is that the ethical hacker has all of the relevant permissions from the authorized personnel to try and break the system to improve the security from real attacks.

Cyber security is one of the fastest-growing fields in computer science. In the digital world, interconnected devices (IoT), and smartphones have become information powerhouses.

Cyber security is one of the fastest-growing fields in computer science. In the digital world, interconnected devices (IoT), and smartphones have become information powerhouses.  According to a Cisco report, 500 billion devices are expected to be connected to the internet by 2030, Cisco’s Annual Visual Networking Index report also predicts an increase in the global IP traffic from 122 exabytes to 396 exabytes a month from 2017 to 2022—that’s an increase of more than 300 percent! 

As more and more systems connect to cyberspace, they become vulnerable to attacks from all corners of the world. Every organization and business needs to protect its assets and data against any such attacks. This increased need unlocks many job prospects for computer engineers looking for jobs in a cutting-edge and fast-growing field of cybersecurity. Ethical hacking is an example of an excellent opportunity to improve the security of the network and systems, specifically by testing for such vulnerabilities.

Ethical hacking uses similar methods that illegal hackers employ to infiltrate systems in a structured manner. The main difference is that the ethical hacker has all of the relevant permissions from the authorized personnel to try and break the system to improve the security from real attacks. Juniper Research data estimates cybercrime to cost businesses over $2 trillion in 2019. Moreover, extremist organizations also fund cybercriminals to compromise a nation’s security or extort massive data by injecting malware or spyware.

DATA ANALYTICS

Marketing techniques have evolved as the ways in which consumers get information change. Radio advertising led to TV advertising, which then shifted to digital marketing with the rise of the internet. Besides these natural market progressions, the COVID-19 pandemic is driving the scope of digital marketing even further online. 

While TV remains a prime advertising medium for many businesses, digital marketing allows companies to reach a global audience online. As digital marketing initiatives continue to grow at a brisk pace, the number of jobs in the field is naturally increasing.

This article will cover the various topics and digital marketing niches’ that will help you explore the various career opportunities in the field, including:

  • Digital marketing analytics
  • Social media influencers
  • Video remains king
  • Artificial intelligence
  • Augmented and virtual reality
  • Omni-channel marketing
  • Content to become more interactive.

PYTHON

Python provides basic and advanced concepts of Python. Python is a simple, general purpose, high level, and object-oriented programming language. Python is an interpreted scripting language also. Guido Van Rossum is known as the founder of Python programming.

Python is a popular programming language and is often used in data science, artificial intelligence, and web development. Learning Python can be beneficial for BCA (Bachelor of Computer Applications) students, as it can help them develop skills in programming, data analysis, and problem-solving.

  • Python covers a vast area of expertise such as Introduction to Python and Computer Programming, Data Types, Variables, Basic Operators, Boolean Values, Conditional Execution, Loops, Lists and many more.
  • Python Programming is an important part while learning Python. Some of the topics covered are Introduction to Python Language, Python Language Syntax, Python Keywords and Identifiers, Python Variables, Data Types, Operators, etc.
  • Django, a high-level Python web framework that is used for rapid development of secure and maintainable websites, covers Python scripts, file operations in Python, Database, Views, Python Object Oriented Programming, etc. 
  • Python for Data Science requires knowledge of Python Programming and is opted by many.