COURSE CURRICULUM

In the first year of the program, students build foundational knowledge and skills in computer science and related fields. The *Computer Systems* module (20 credits) covers the design of computer architecture, the interaction between software and hardware, electronics principles, and number systems used in computer technology. *Website Design and Development* (20 credits) teaches students how to design and implement effective web-based systems with a clear understanding of interface visual requirements and structured design approaches. The *Data Structures and Algorithms* module (20 credits) focuses on essential concepts for representing and manipulating data, as well as algorithms to solve computational problems. The *Innovation Project* (20 credits) allows students to undertake a major project involving research and practical application, with an emphasis on independent learning and meeting strict deadlines. In *Computer Programming* (20 credits), students acquire programming skills in a modern imperative language, applying these in practical sessions to solve problems through small programs. Lastly, the *Introduction to Artificial Intelligence* module (20 credits) introduces basic AI principles, techniques, and problem-solving approaches, using a hands-on, experiential learning method.In the second year of the program, students deepen their understanding of key computer science concepts and develop specialized skills. The *Object-Oriented Programming* module (20 credits) explores programming as a vital engineering tool, emphasizing its role in modern technologies and its increasing importance in the job market. *Database and Web Application Development* (20 credits) covers the development of web applications connected to databases, focusing on data modeling, relational database implementation, and server-side scripting using technologies like PHP. The *Artificial Intelligence and Machine Learning* module (20 credits) introduces students to AI principles and machine learning, focusing on creating software that learns from data and has applications in industries such as self-driving cars and Industry 4.0. *Cyber Security* (20 credits) lays the foundation for secure software design and development within networked environments, addressing the challenges posed by cybersecurity threats. The *Software Design* module (20 credits) focuses on software engineering, emphasizing the importance of modeling requirements and designs, and applying design patterns. Lastly, *Data Management and Machine Learning Operations* (20 credits) covers MLOps, teaching students about the management and governance of data, as well as practices for applying machine learning in a structured, repeatable, and production-ready manner.In the third year of the program, students engage with advanced topics like *Deep Neural Networks and Ethics* (20 credits), which explores deep learning techniques and the ethical considerations surrounding AI adoption. The *Modern Datastores and Data Protection* module (20 credits) introduces NoSQL databases and distributed data storage, while also covering data protection. In *Natural Language Processing* (20 credits), students learn current techniques for analyzing linguistic and textual data, with applications across various fields. *Cloud Computing* (20 credits) equips students with practical skills in cloud technologies, using platforms like AWS. The *Individual Honours Project* (40 credits) offers students the opportunity to undertake an independent research project on a topic of personal interest, emphasizing self-directed learning, project management, and the application of knowledge to real-world problems.