This module provides an advanced and practice-oriented exploration of Programming for Artificial Intelligence (AI), focusing on the development of efficient, scalable, and robust intelligent systems, with particular emphasis on Natural Language Processing (NLP) applications. It is designed to equip you with the technical expertise required to design, implement, optimise, and manage AI-driven applications using modern programming tools and frameworks.

This module emphasises the integration of advanced programming techniques with AI system development, enabling you to move beyond foundational coding skills and develop the ability to construct end-to-end AI solutions. Key areas include advanced Python programming, structured software design, data handling for unstructured text, and the development of intelligent workflows within real-world programming environments.

You will gain hands-on experience using widely adopted libraries such as NumPy, pandas, and NLP-focused tools (e.g., spaCy), alongside frameworks that support workflow management and reproducibility.

By the end of the module, you will be able to design, implement, and critically assess AI programming solutions, demonstrating both technical competence and a strong understanding of best practices in AI software engineering and intelligent system development.

This module develops your advanced data analytical capabilities and critical understanding of AI-based algorithms alongside traditional modelling techniques. You will learn to design, implement, and evaluate data-driven solutions using modern programming languages and tools, engaging with statistical analysis, classical machine learning, and the ethical and sustainable dimensions of AI.

You will tackle diverse real-world scenarios requiring complex dataset analysis, pattern recognition, and algorithm selection- justifying methodological choices and communicating insights clearly to both technical and non-technical audiences.

Beyond technical skills, you will develop high-value professional competencies including data-driven decision-making, critical thinking, ethical reasoning, and effective communication. You will also gain awareness of AI’s environmental footprint and the principles of sustainable AI development.

After completing this module, you will hold both the analytical expertise and professional judgment needed to operate confidently across a broad spectrum of data science and AI-driven roles.

This module equips you with cutting-edge skills in Natural Language Processing (NLP) and Large Language Models (LLMs) – the technologies underpinning modern conversational AI, machine translation, and intelligent text analysis.

Beginning with classical text processing methods and progressing through neural architectures to state-of-the-art transformer systems such as BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer), you will develop both theoretical understanding and practical implementation capability.

You will master fine-tuning strategies, prompt engineering, and the evaluation of complex language models using industry-standard frameworks including HuggingFace Transformers.

The module places particular emphasis on responsible deployment: you will critically evaluate model performance, detect and mitigate bias, consider the environmental footprint of large-scale training, and apply governance frameworks including the EU AI Act.

At the end of this module, you will be equipped for roles such as NLP Engineer, Applied AI Scientist, and Machine Learning Engineer specialising in language AI.

This module equips you with the skills to build intelligent systems that perceive, analyse, and understand visual information. You will progress from image fundamentals and classical feature extraction through to state-of-the-art deep learning architectures, including object detection, semantic segmentation, and vision transformers – developing practical implementation capability using OpenCV and PyTorch.

The module emphasises critical evaluation alongside technical skill: you will assess model performance, diagnose failure modes, and make informed decisions about deployment in real-world contexts including autonomous vehicles, medical imaging, and surveillance systems.

Sustainability and ethics are integrated throughout, you will examine the environmental cost of large vision models and the societal implications of visual AI in high-stakes domains, applying the BCS Code of Conduct to your professional practice.

This module provides an in-depth exploration of Advanced Machine Learning (AML) techniques, focusing on both theoretical understanding and practical implementation. It is designed to equip you with the skills required to develop, evaluate, and deploy intelligent systems in real-world environments.

Throughout this module, you will build on foundational machine learning knowledge and progress towards more advanced concepts, including supervised and unsupervised learning, ensemble methods, feature engineering, and deep learning fundamentals.

Students will gain hands-on experience using industry-relevant tools such as scikit-learn and MLflow, enabling them to develop end-to-end machine learning pipelines, from data preprocessing to model deployment. The module also introduces key concepts in model evaluation, hyperparameter tuning, and deployment strategies, ensuring students are prepared for real-world applications.

In addition to technical skills, the module develops critical thinking, problem-solving, and data-driven decision-making abilities.

Contemporary Issues in AI provides you with immersive, experiential engagement with the most pressing issues shaping the AI landscape today. Through bootcamp-style intensive workshops, team hackathon events, and direct engagement with industry practitioners, you will explore frontier AI technologies alongside the ethical, legal, and societal dimensions that define responsible AI practice.

You will work with cutting-edge generative AI systems, autonomous agents, edge deployment tools, and emerging multimodal platforms, developing both technical fluency and the critical professional judgement to deploy AI responsibly.

In addition to technical AI skills, you will develop high-demand professional capabilities including:

Rapid prototyping and agile innovation

Collaborative teamwork under pressure

Pitch presentation and stakeholder communication

Evidence-based responsible AI framework design

These skills prepare you for roles in the AI and machine learning workforce.

This 60-credit module runs across all three semesters of your programme, guiding you from foundational research skills through to a substantial independent AI/ML research project.

In Semester 1, you will develop academic and professional skills essential for postgraduate study and research environments.

Semester 2 builds your research capability- covering systematic literature review, experimental methodology, statistical analysis, and dissertation proposal writing.

In Semester 3, supported by an allocated academic supervisor, you will undertake an original AI/ML research investigation making a novel contribution to knowledge or practice.

Your work culminates in a dissertation of 15,000+ words and an oral viva, assessed together to demonstrate the full research lifecycle: from conception and literature review through design, implementation, analysis and critical evaluation.

This module aims to provide you with an experiential learning opportunity where you will work on a group consultancy project that utilises skills and knowledge acquired during the taught part of your study programme. You will work as a team of 3-5 students on a project for a real-world organisation and be supported by an experienced academic supervisor throughout your project.

You will learn to work independently and develop resilience and flexibility as you adapt to a different learning environment, and gain a new perspective through comparison with your taught studies. The module will help you develop your abilities as a problem solver with valued investigative, theoretical and practical skills to implement a work-based consultancy project. Through this consultancy project, you will help develop hands-on experience of working on a real-life project that experience is directly transferrable to be utilised to the world of work after your graduation.

The Advanced Practice Research Project module is designed to deepen your knowledge and enhance your research skills in your specialist field. The aim of this module is to provide you with an opportunity to work on a research study that utilises skills and knowledge acquired during the taught part of your study programme. You will be supported by an experienced academic supervisor who would provide guidance at different stages of this research project.

A high level of participation will be required from you to undertake this research project. Independent learning will help you focus on identifying and pursuing areas of interest in relation to the research study or by providing deeper/broader knowledge and understanding of the subject through a range of learning activities that might include extended reading, reflection, research etc and application of these to your research-based project. You will learn to work independently and develop resilience and flexibility as you adapt to a different learning environment, and gain a new perspective through comparison with your taught studies. The module will help you develop your abilities as a researcher with valued investigative, data analytical, theoretical and practical skills to implement a research project.

This Advanced Practice module is designed to deepen your knowledge and enhance employability in your specialist field. This module aims to provide you with an experiential learning opportunity in a workplace setting that utilises skills and knowledge acquired during the taught part of your study programme. You will develop resilience and flexibility as you adapt to a different learning environment, and gain a new perspective through comparison with your taught studies.

You will be allocated an academic supervisor who would provide you with support throughout your internship.

Assessment on the module is designed to focus on the awareness of the impact of the time spent in an external learning environment, on your knowledge and understanding of the discipline. You will be encouraged to critically engage with outside practices, and to reflect on your educational development in the context of the challenges posed by an unfamiliar social, cultural and economic environment.

This module is designed to develop your self-guided learning and professional skills needs in the context of your postgraduate degree. Indeed, Computing and Digital Technology is a wide field in which professionals can find themselves working within several different roles and specialisms, each requiring a specific specialist skillset.

This module builds on the knowledge and skills developed so far and provides you with an opportunity to further develop the specific professional skills you need to maximise your employability with the support of a careers and employability coach.

Idea people are in great demand either as entrepreneurs or intrapreneurs. Indeed, ideas can be based on existing products/services or a brand new product/service. As governments around the world encourage enterprise innovation to drive new skills and create new industries and/or invigorate existing industries with different business approaches, often based on technology changes, enterprise business start-up activities are a growing requirement of to raise skills,  improve living standards, improve country competitiveness and productivity and maintain and gain new competitive advantages.  

You will learn through a workshop and studio-based learning model that combines access to the industry-leading practical and academic knowledge base, online support and engagement with your module tutors. Lectures will be used to introduce key topics such as design thinking, innovation and components of a business plan and how to marshall these components to deliver an effective business plan using a research-led approach.

These lectures will be followed by practical studio-based workshop activities in which you will apply the methods, techniques and frameworks of analysis of the business environment, business model canvas, and how these models influence the business plan outcomes and implementation.  

This module complements and enhances your postgraduate degree with a distinctive experience in which you will engage in a module designed to enable you to acquire and develop creative and innovative design-inspired study skills. As part of our range of advanced practice options, this module will involve a semester of taught study in London.

You will gain a vital real-world design-informed experience by means of London-based study of city-based issues, industry site-visits and professional speaker input, and comparative work on differing urban, technological, and social experiences and the formulation of innovative solutions. You will gain extensive additional further skills, knowledge and experience that will considerably enhance your employability and professional awareness and ability.