BCABachelor of Computer Applications

Fundamentals of programming using C language.

Mathematical foundations for computer applications.

Digital circuits, computer hardware and organisation.

English communication for IT professionals.

MS Office, internet and basic productivity tools.

Environment, ecology and sustainability for IT professionals.

CPU design, memory hierarchy and I/O organisation.

Fundamental data structures and their algorithms.

OOP concepts with C++ programming.

Fundamentals of data communication and networking.

DBMS concepts, SQL and relational database design.

Basic accounting and financial management for IT context.

Statistics and probability for data-driven computing.

Arrays, linked lists, trees, graphs and standard algorithms in C.

OS concepts, process management and memory management.

Core Java programming and object-oriented design.

Software development lifecycle and engineering practices.

HTML, CSS, JavaScript and web development fundamentals.

Discrete structures for computing applications.

Unix/Linux fundamentals and shell scripting.

2D/3D graphics, transformations and rendering.

Python fundamentals and application development.

System development — analysis, design and implementation.

Numerical analysis techniques for computing problems.

Windows application development with C# and .NET.

E-commerce architecture, payment gateways and security.

Process management, memory management and file systems.

AI concepts, search algorithms and knowledge representation.

Android app development with Kotlin/Java.

Cloud services, deployment models and cloud platforms.

Information security, cryptography and ethical hacking.

Fundamentals of information security and risk management.

Data mining techniques and data warehouse design.

IoT architecture, sensors and embedded systems.

Final year project development and presentation.

Testing strategies, tools and quality assurance.

Startup thinking, product development and lean entrepreneurship.

Full-stack project showcasing all BCA skills with documentation.

Core ML algorithms and model development for BCA students.

Neural networks, CNNs and practical deep learning.

Text processing, NLP pipelines and language models.

Image processing and computer vision applications.

Ethical dimensions of AI, bias and governance.

End-to-end AI project — problem to deployment.

IaaS/PaaS/SaaS, AWS core services and cloud deployment models.

Git, CI/CD, Docker and Kubernetes for modern software delivery.

AWS Lambda, API Gateway and microservices design patterns.

IAM, encryption, compliance frameworks and cloud threat management.

Hands-on ethical hacking and pentesting techniques.

Securing networks with firewalls, IDS/IPS and VPNs.

Cryptographic algorithms and public key infrastructure.

Forensic investigation techniques for digital evidence.

Securing cloud environments and web applications.

Legal aspects of cybercrime and incident response planning.

Python-based data analysis, visualisation and statistics.

Supervised and unsupervised ML algorithms with scikit-learn.

HDFS, MapReduce, Hive and Spark for large-scale data processing.

Tableau, Power BI and design principles for impactful data stories.

Core IoT concepts, protocols and system architecture.

Arduino, Raspberry Pi and embedded programming for IoT.

Processing IoT data streams on cloud platforms.

Industry 4.0, IIoT applications and smart city solutions.

Android app development, activities, fragments and Jetpack components.

Flutter widgets, state management and cross-platform app deployment.

Semantic HTML, CSS grid/flexbox and responsive layouts.

JavaScript ES6+, DOM API, events and asynchronous programming.

React components, hooks, state management and routing.

REST API development, middleware and database integration with Node.js.