This collection of courses forms a foundational curriculum designed to provide students with a comprehensive understanding of computer science, covering both theoretical and practical aspects of the field. The first two courses, Introduction to Programming I and II, lay the groundwork for learning programming concepts, where students develop skills in writing code, problem-solving, and understanding key programming paradigms. These courses introduce students to various programming languages and computational tools, allowing them to begin creating software applications and solutions. Computational Mathematics then delves into the mathematical principles that underpin computational algorithms and problem-solving techniques, equipping students with the skills necessary to tackle complex problems in computer science. Discrete Mathematics further supports this understanding by focusing on mathematical structures such as sets, graphs, and logic, which are essential for developing algorithms and analyzing data. "How Computers Work" offers a deeper exploration into the internal workings of hardware and software systems, helping students understand the architecture and components of modern computers. The Fundamentals of Computer Science course introduces core concepts in computer science, setting the stage for more specialized topics. Web Development teaches students how to design and build functional, interactive websites using programming languages such as HTML, CSS, and JavaScript. Lastly, the Algorithms and Data Structures I course provides students with the knowledge of how data can be efficiently stored, retrieved, and manipulated, introducing essential algorithms and data structures that form the backbone of software engineering. Together, these courses provide a well-rounded foundation in computer science, preparing students to engage in more advanced topics and pursue careers in software development, system design, and data science.

This curriculum offers an in-depth exploration of advanced topics in computer science, emphasizing software development, security, and data management. Object-Oriented Programming introduces students to key programming paradigms, focusing on creating modular and reusable code through classes and objects. The Software Design and Development course builds on this foundation, teaching students how to structure and design robust software systems using best practices and design patterns. Databases, Networks, and the Web covers the critical areas of database management, networking principles, and web technologies, preparing students to build scalable and efficient applications that interact with databases and communicate over networks. The Agile Software Projects course equips students with the skills necessary to manage software projects using agile methodologies, focusing on iterative development, team collaboration, and customer feedback. The Computer Security course, which will transition to Cyber Security in October 2025, provides essential knowledge in securing computer systems and protecting data, covering topics such as encryption, authentication, and network security. Graphics Programming introduces students to the exciting field of creating visual content, focusing on techniques for rendering images, animations, and 3D models. Algorithms and Data Structures II builds on the foundational course, diving deeper into advanced algorithms and data structures, essential for optimizing performance and solving complex computational problems. Finally, Programming with Data provides students with practical skills in managing, analyzing, and visualizing large datasets, preparing them to work in fields such as data science, machine learning, and big data analysis. Collectively, these courses equip students with a well-rounded, industry-relevant skill set, preparing them to tackle complex technical challenges in software engineering, cyber security, and data management.

This advanced curriculum offers a comprehensive education in cutting-edge technologies and methodologies across multiple domains within computer science, preparing students for careers in data science, artificial intelligence, software development, and emerging technologies. The Data Science course provides a solid foundation in extracting meaningful insights from large datasets using statistical methods, programming, and data visualization techniques. Building on this, the Databases and Advanced Data Techniques course explores complex database systems and advanced methods for managing and analyzing vast amounts of data. The Machine Learning and Neural Networks course delves into artificial intelligence techniques that enable machines to learn from data, focusing on algorithms that power modern applications such as recommendation systems, image recognition, and predictive analytics. Artificial Intelligence further expands on this by exploring a wide range of AI techniques and their real-world applications, from natural language understanding to autonomous systems. Virtual Reality and Games Development combine theory and practice to teach students how to create immersive, interactive environments and digital games, with a focus on design, simulation, and user experience. Advanced Web Development pushes students to master the latest web technologies and frameworks, preparing them to build sophisticated, responsive, and dynamic web applications. Physical Computing and the Internet of Things introduces students to the exciting world of connected devices, teaching them how to develop applications that interact with sensors, actuators, and real-world environments. 3D Graphics and Animation focuses on techniques for creating lifelike 3D models and animations, essential for industries such as gaming, film, and simulation. Mobile Development prepares students to build applications for smartphones and tablets, incorporating responsive design and platform-specific features. Interaction Design teaches students how to create intuitive, user-friendly interfaces that enhance the overall user experience. Natural Language Processing covers methods for enabling computers to understand, interpret, and generate human language, with applications ranging from chatbots to sentiment analysis. Finally, Intelligent Signal Processing explores advanced techniques for processing and analyzing signals, with applications in fields such as communications, audio, and biomedical engineering. Together, these courses offer a cutting-edge, interdisciplinary approach to learning, equipping students with the knowledge and skills needed to excel in fast-evolving fields that drive innovation across industries.

This diverse and specialized set of Bachelor’s degree programs in Computer Science offers students the opportunity to focus on cutting-edge fields that shape the future of technology and innovation. The BSc Computer Science with a focus on Machine Learning and AI provides students with a deep understanding of algorithms and models that allow machines to learn from data, empowering them to design intelligent systems capable of tasks such as prediction, automation, and decision-making. The BSc Computer Science in Data Science combines statistical methods, programming, and data analysis techniques to extract insights from complex datasets, equipping students with the skills needed for industries like finance, healthcare, and marketing. The Web and Mobile Development track prepares students to create sophisticated applications for the web and mobile devices, emphasizing user-centered design, cross-platform development, and cutting-edge web technologies. In the BSc Computer Science focusing on Physical Computing and the Internet of Things, students learn to build interactive, connected systems that bridge the physical and digital worlds, developing applications for smart homes, healthcare, and industrial automation. The Games Development program provides students with the skills needed to design and create interactive, engaging video games, combining software engineering with creativity and user experience. The Virtual Reality specialization teaches students how to create immersive, interactive environments and simulations, with applications ranging from entertainment to education and training. Finally, the User Experience program focuses on understanding user needs and behaviors, equipping students with the tools to design intuitive, effective, and accessible digital interfaces. Each program combines theoretical knowledge with practical application, preparing students to excel in a rapidly evolving technological landscape and make meaningful contributions to industries such as artificial intelligence, data science, gaming, mobile development, and beyond.