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Artificial Intelligence at Lancaster University - UCAS

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Course summary

Develop the fundamental skills and practical expertise needed to excel in the rapidly evolving field of Artificial Intelligence (AI) with our MSc Artificial Intelligence programme. This comprehensive course is designed to equip you with both the theoretical knowledge and hands-on experience required to apply AI technologies to real-world challenges, driving innovation and enhancing organisational capabilities. AI allows computers and machines to simulate human intelligence and problem-solving abilities and is revolutionising the way we live, work and learn. From personalised recommendations on streaming services to real-time detection of fraud, and from the early diagnosis of disease to autonomous monitoring of our changing environment, AI is reshaping the world as we know it, impacting every major industry. Throughout the programme, you will gain a deep understanding of what AI truly means, how it has emerged as a transformative academic discipline, and how it is currently being utilised to elevate human skills and improve operations across all industries. You’ll explore the evolution of AI, learning to navigate the complexities of this technology while mastering the skills necessary to use its full potential. What will I learn? Term 1 - Fundamental Skills in AI In the first term, you will delve into the foundational elements of AI, including its historical context and the critical technologies that are shaping our world today. You’ll learn Python, the essential programming language for AI, and acquire a strong grasp of the statistical methods that underpin machine learning. This term emphasises the importance of data—how it is gathered, structured, and utilised to drive AI solutions. You’ll also explore the power of neural networks and deep learning technologies, understanding the types of challenges they can address. Practical exercises will reinforce your learning, culminating in the development of operational AI solutions coded in Python. Ethical considerations and sustainability will be integral to your studies, ensuring that you are prepared to create AI solutions that are responsible and impactful. Term 2 - Applied Artificial Intelligence Building on the foundations laid in the first term, the second term offers a selection of modules that allow you to tailor your studies to your career aspirations. You’ll explore major application areas of AI, such as Natural Language Processing, where you’ll work with language models and engage in prompt engineering, and Intelligent Agents and Autonomous Systems, where the focus is on the development of autonomous AI. Modules on Generative AI and Computer Vision will expand your expertise into cutting-edge areas of the field. The ‘Advanced Topics in AI’ module ensures that you remain at the forefront of AI technology, learning about the latest developments and trends. Additionally, you will develop practical skills in planning, developing, and managing the computing platforms needed for large-scale AI operations, preparing you to lead AI projects in any setting.

  • Term 3 (Summer) - Dissertation Project*
In the final term, you will have the opportunity to apply everything you’ve learned in a 14-week dissertation project. This project is your chance to tackle a real-world challenge, often in collaboration with an external industry partner looking to leverage AI for innovation. Alternatively, you may choose to undertake a university-based research project, ideal for those considering a PhD. Your project work will culminate in a comprehensive dissertation and a poster conference, where you will present your findings and showcase your achievements alongside your peers. Launching your career By the end of the MSc Artificial Intelligence programme, you will be fully prepared to design, deploy, and operate AI systems, or to continue your academic journey with advanced research.


Entry requirements

A 2:1 Hons degree (UK or equivalent) in any discipline, provided that the applicant has some experience of programming and has had exposure to quantitative methods such as statistics, or mathematical modelling. Applicants with a 2:2 Hons degree (UK or equivalent) in any discipline along with relevant experience are welcome to apply and will be considered on a case-by-case basis. Students have successfully completed the course with undergraduate degrees in Computer Science, Mathematics, Statistics, Engineering, Physics, Life Sciences, Economics, Finance, Linguistics, and others.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

For information on our fees, please see www.lancaster.ac.uk/study/fees-and-funding.
Artificial Intelligence at Lancaster University - UCAS