Program Overview

MSc Generative Artificial Intelligence

Overview

Delve into the transformative world of AI systems that generate content and create innovative solutions. Explore core theoretical principles and methodologies of generative models, focusing on their diverse applications, from natural language processing, text-to-image synthesis, and creative industries. Discover the intersections of generative AI and computer science, linguistics, healthcare, environmental science, and more. Based on a foundation of leading research into the ongoing development and integration of generative AI and its impact on the future of work and business.

Entry Requirements

• 2:1 in Computer Science or a related area.

Course Content

By joining our cutting-edge Masters in Generative Artificial Intelligence, you will delve into the transformative world of AI that focuses on generating content and creating innovative solutions. This programme will equip you with in-depth knowledge of the principles and technologies underpinning generative AI, from foundational machine learning concepts and data-driven modelling to deep learning and advanced techniques such as large language models. A key component is the ethical and societal implications of generative AI. The programme will foster the development of responsible AI systems that can contribute positively to society, preparing you to engage critically with the challenges and opportunities of this rapidly evolving field.

You will explore the core methodologies of generative models and their diverse applications in fields like natural language processing, text-to-image synthesis, and creative industries. The programme balances theoretical knowledge with practical skills, providing a comprehensive understanding of generative AI.

This programme promotes collaboration across diverse domains, encouraging you to explore the intersections of generative AI with computer science, linguistics, healthcare, environmental science, and more. It aims to broaden your perspective and spark innovative applications of generative AI.

Modules

Compulsory Modules

• COMM514: Research Project (60 credits)
• COMM113: Deep Learning (15 credits)
• COMM114: Generative AI (15 credits)
• COMM115: Data Science at Scale (15 credits)
• COMM116: Generative AI Applications (15 credits)

Optional Modules

• COMM039: Network Science (15 credits)
• ECMM422: Machine Learning (15 credits)
• COMM117: Large Language Models and Applications (15 credits)
• ECMM426: Computer Vision (15 credits)
• COMM040: Text Mining and Natural Language Processing (15 credits)
• COMM118: AI in Healthcare (15 credits)
• COMM119: AI in Environment (15 credits)
• SOCM033: Data Governance and Ethics (15 credits)

Fees

2025/26 Entry

• UK fees per year: £14,300 full-time
• International fees per year: £30,300 full-time

Teaching and Research

You will be taught by a range of staff with relevant expertise and knowledge in generative artificial intelligence, Large Language Models (LLMs), and machine learning. This will include senior academic staff, qualified professional practitioners, demonstrators, technicians, and research students. You may also benefit from guest lectures from industry.

Teaching is mainly delivered by lectures, workshops, and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in-depth coverage of the subject and go beyond the lectures.

Careers

New roles, such as Generative AI Architect and LLM Engineer, have emerged with the mainstream development of Generative AI, and employers are already looking for the sorts of skills that our graduates will develop. This is the case across all sectors, including health, environment, marketing, finance, and the creative industries. Professional certifications and credentials in Generative AI have seen a significant increase in demand in the job market, e.g., the NVIDIA Generative AI Multimodal and LLMs certification. These skills not only enhance employability but also provide a competitive edge, positioning graduates to excel in these rapidly evolving roles. There is significant scope for industry partnerships in respect of case studies, placements, projects, etc.

More generally, Computer Science and its related disciplines are at the forefront of technology and innovation. With connectivity at the heart of society, we need graduates who can understand the latest techniques and technology to negotiate problems. There are huge opportunities for businesses and individuals who can solve these problems using cutting-edge technologies such as artificial intelligence, machine learning, data science, high-performing computing, and cyber security.

A Generative Artificial Intelligence degree provides you with a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI. These skills are highly sought after in most sectors, including both public and private, and demands are only increasing.

Graduate Destinations

Career opportunities are limitless, with computer science and related graduates being found in a variety of sectors, including software engineering, health communications, education, life sciences, finance, and manufacturing. This programme is particularly suited to professionals and graduates looking to develop career options or pursue academia.

Dedicated Careers Support

You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops, and lectures which are designed to further support you in developing your enterprise acumen.