Your pathway to career success.

This module develops the critical reading, thinking and writing techniques you will need throughout the taught programme of study. From effective literature searching, analysis and review, through fact-checking and conflict-resolution, to producing written reports, it perfects the knowledge and skills necessary to start your journey as an efficient researcher of computer systems.

This module explores the fundamental concepts of collecting, analysing and visualising data. It is designed to develop you into a data analyst who can identify patterns and display information from data of several sources. You will be able to discover, analyse, visualise, and present data in meaningful ways – harnessing the power of data for creating new insights. You will gain practical skills using an open source software to apply data analysis and visualisation techniques to real-world data analytical problems.

This module gives you a thorough grounding in the theories and application of data science using computer algorithms, abstract data types, underlying data structures and their integration to produce efficient programs. It enables you to develop the knowledge and skills to be able to analyse problems and design, implement, and analyse effective algorithmic solutions.

This module is designed to give you an understanding of the role of database systems in information management, and the theoretical and practical issues that influence the design and implementation of relational database management systems.

The module provides you with the skills required to create, maintain and interrogate a relational database management system using commercially available database software. It equips you to critically analyse database issues and recommend solutions in a multi-user relational database environment.

This module provides you with a 360-degree understanding of machine learning – a branch of artificial intelligence. You will learn techniques, key concepts, methodology, and applications to real-world problems. It covers fundamental concepts in machine learning, curve fitting, lazy learning methods, artificial neural networks, linear models and kernel methods, ensemble methods and dimension reduction.

You will have hands-on experience of how to apply techniques to solve engineering and business case studies. You will learn to link real-world problems to machine learning techniques, suggest the most suitable machine learning method, apply it using a software package and evaluate its performance.

In this module, you will identify, explore, and evaluate concepts of analysis and design and a range of traditional and contemporary methodologies to enable you to appreciate the nature of information and its role in the information systems engineering process.

It provides you with the knowledge to develop a professional approach to practice and evaluate the impact of systems design, development and implementation on society. It includes consideration of professional, ethical, legal, political, cultural and sustainability issues.

This module explores the principles of big data analytics. It looks at how data is gathered, processed and analysed, and how data is converted into knowledge. You will explore big data applications and will learn how to responsibly design, build and maintain complex big data resources. You will develop critical awareness of the impact of current and emerging big data technologies and applications.

This module with a solid foundation in AI concepts, theories, and practical applications. By exploring the history, terminology, and impact of AI, students will gain a comprehensive understanding of the field. Through hands-on assignments and projects, you will develop practical skills in areas such as knowledge representation, search algorithms, natural language processing (NLP), and computer vision. Overall, the module equips you with a holistic understanding of AI, from foundational concepts to practical implementation, while fostering ethical awareness and critical thinking.

Gain a comprehensive understanding of the ethical challenges posed by artificial intelligence. By integrating philosophical perspectives, you will explore bias mitigation, privacy considerations, transparency, and the social impact of AI. The module encourages critical thinking, responsible development, and global awareness, fostering ethical decision-making in AI research and practice.

In this module you will develop the skills necessary to undertake a research project. These include how to conceive, structure and execute a research study, questionnaires and surveys, implementation, testing and statistical analysis. Also included is good practice for presenting your own research coherently in the form of an academic publication.

You will undertake a small research case-study, before producing a full proposal for your dissertation.

This module supports and aids you in carrying out an independent project allocated or chosen through consultation with programme team staff. The dissertation allows you to demonstrate mastery of a specific area of the subject. You will undertake a concentrated review of literature in a chosen subject area and apply knowledge and expertise gained during the taught element of the programme. The dissertation enables you to exhibit deep research and technical skills.