This module provides an in-depth understanding of algorithm analysis, advanced data structures and sophisticated algorithm design techniques. Students will learn to optimize computational tasks through practical applications, project work, and theoretical studies. The course will prepare students to tackle complex problems with efficiency.

This module introduces learners to the concepts, techniques, and applications of data mining. The module will cover the entire data mining process, from data preparation and exploration to model building and evaluation. Learners will explore extracting valuable knowledge and gain insights from large datasets to solve real-world business problems. They will also gain practical experience using data mining tools and software.

This module introduces learners to methods and techniques for analysing problematic organisational situations. They will learn how to analyse business requirements, model systems, and design solutions that meet organizational needs. They will be exposed to both technical and organisational material to provide the knowledge and skills necessary to design and implement an operational system.

This module introduces learners to basic concept and fundamental principles of cloud computing and development platforms. They learn programming skills in cloud, design and develop cloud applications in various platforms. They are exposed to the technologies used in provisioning clouds, the application of cloud computing to solve problems, and the issues that must be considered when deploying cloud technologies in an organisation.

This module equips learners with the skills and knowledge to develop and deploy full-stack web applications.  It covers both front-end and back-end technologies, focusing on building dynamic and secure web applications Learners will gain proficiency in both front-end and back-end development, covering user interface (UI) design, web development frameworks, databases, server-side programming, and application deployment.

This module introduces learners to the fundamental concepts and tools used in data science. They will gain an understanding of the data science workflow, explore data collection, manipulation, analysis, and visualization techniques. Ethical considerations, policies, and legislations for data science will be introduced. The course will also equip learners with essential skills for data science applications.

The module aims to aims to provide learners the fundamental concepts of visual representation of data for effective communication of information and data analysis. Learners are be equipped with knowledge of data visualisation approaches for various data types, data mining methods and emerging data visualisation trends. They will also learn how to use software tools to extract, cleanse and transform data into useful information for analysis and better business decision.

This module introduces learners to the fundamental concepts, architectures, and applications of the Internet of Things (IoT). Students will explore the interconnected nature of devices, the infrastructure supporting these connections, and the potential of IoT in various industries. It covers basic hardware components, software frameworks, communication protocols, data handling, and security concerns. Through hands-on activities, they learn to program basic IoT devices and analyse collected data.