People-Centred Artificial Intelligence (Online) (Taught)

Course summary

About this course This online postgraduate taught course is designed to provide you with a comprehensive understanding of AI by incorporating a wide range of core topics, equipping you for roles in industry, research, development or public service. Experience a truly cross-disciplinary approach to AI that will equip you to use responsible and inclusive innovation to solve the grand challenges facing society. Place humans at the heart of innovation and implementation, and help augment human capabilities to deliver an inclusive and responsible force for good. What you will study The MSc People-Centred Artificial Intelligence course has a strong focus on technical expertise, and weaves social, ethical and regulatory understanding into a curriculum designed to build future leaders of AI innovation. Under the guidance of industry pioneers, you’ll learn fundamental AI concepts and master universal machine learning tools essential for any AI job role, as well as specific practical and research skills in key AI topics and applications. The curriculum is delivered through a combination of asynchronous teaching and learning activities and regular live sessions. It culminates in a project that provides an opportunity to explore, in depth, a social or technical area of AI. The MSc consists of 180 credits and is divided into 11 fully autonomous credit-bearing modules, delivered through a ‘carousel’ approach across six terms. All modules are worth 15 credits, except the final project, which is worth 30 credits. Online learning experience A complex world calls for flexible learning designed for your needs. In the online MSc People-Centred Artificial Intelligence course, you’ll find an intuitive platform, comprehensive support and top-notch education designed for real people with real lives.

Attend regular teaching sessions, held on Zoom, that allow for rich discussion and debate with peers and faculty.

Complete interactive assignments, using a customisable platform that follows best practices for online learning.

Access full-spectrum career services, including interview prep, one-on-one coaching, self-assessments and salary resources.

Connect with a student success advisor, who will serve as your dedicated partner throughout the course.

Learn from leading academics and industry pioneers

As a student in the Artificial Intelligence MSc course, you will learn from our faculty who are experienced, active practitioners and top researchers in translating computer science research into commercial application. They bring their real-world experiences and case studies to the online classroom. Career opportunities The online course prepares you for a broad range of career paths beyond tech-facing roles. While this may include joining one of the big tech companies, you could also carve your own path via the entrepreneurial route or by pursuing further research. The social approach of this course can help those looking to channel their tech expertise to leverage innovation for the betterment of people and society. You could do this as a regulatory agent or policy maker, and shape the laws that control AI implementation both in the UK and around the world. You could also leverage the cross-disciplinary research to use AI to solve challenges in industries such as finance, healthcare, manufacturing or entertainment. With the rapid growth of AI changing the way we live, work, learn and play, your career opportunities are limitless. Our MSc helps you prepare for roles such as: AI scientist at a global technology company AI analyst in finance or other jobs requiring a systematic understanding of AI Entrepreneurial roles (in business start-ups focused on AI technology, for example) Industry-sponsored PhD studentship at the cutting edge of AI research

Modules

To see the full range of modules for this course please visit our website - the link is under the Course contact details.

Entry requirements

We seek applicants who are interested in channelling tech expertise to leverage innovation for the betterment of people and society. While not a hard requirement, it’s strongly recommended that prospective students have an undergraduate degree in engineering, physical, mathematical or computer science, as there is a significant amount of programming in the course. Applicants must have a minimum of a lower second-class honours (2:2) UK undergraduate degree, or a recognised equivalent international qualification. Because there is a significant amount of programming in the course, we strongly recommend that applicants have a degree in one of the following disciplines: Computer Science Engineering Mathematical Sciences Physical Sciences We will also consider graduates with relevant work or programming experience. If English is not your first language, you will need to provide evidence of your English language level. We accept results from the IELTS Academic with a minimum score of 6.5 overall, with 6.0 in writing and 5.5 in each other element.

Fees and funding

Tuition fees

EU	£6450	Year 1
International	£6450	Year 1
England	£6450	Year 1
Northern Ireland	£6450	Year 1
Scotland	£6450	Year 1
Wales	£6450	Year 1
Channel Islands	£6450	Year 1
Republic of Ireland	£6450	Year 1

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 tuition fee details please see https://online.surrey.ac.uk/masters/fees-and-funding/ Please note that the fees for this programme are the same for UK and non-UK residents alike. Surrey is committed to providing accessible education pathways, and this fee structure enables international students to more easily access our research-informed, employability-driven courses.