Business & Data Analytics BSc (Hon)
What is Artificial Intelligence?
Artificial Intelligence (AI) is the field of creating computer systems that can perform tasks usually associated with human intelligence, such as learning from data, recognizing patterns, understanding language, making predictions, and choosing actions.
AI includes approaches such as machine learning and deep learning, where systems improve performance by analyzing examples rather than following only fixed, hand-written rules. Common applications include recommendation systems, image and speech recognition, chatbots, fraud detection, and autonomous decision-making.
The programme material reflects this breadth through topics including machine and deep learning, reinforcement learning, agentic AI, AI security, MLOps, and digital ethics and governance. AI systems can be highly useful, but they also need careful design and oversight to manage risks such as inaccurate outputs, bias, privacy issues, and security threats.
What skills can I learn on the programme?
The Artificial Intelligence degree programme at Richmond American University London equips students with a range of industry-relevant and professional skills, including:
Career-driven skills
You can build a blend of hands-on AI engineering, security, data, business, and professional skills that align with roles such as AI Engineer, Generative AI Engineer, MLOps Engineer, AI Consultant, and AI Security Engineer.
Technical and industry skills
- Programming and software development: Build a foundation in programming, software development, and responsible AI practices.
- Machine learning and deep learning: Learn to apply machine- and deep-learning methods to practical problems.
- Agentic and generative AI: Develop and secure agentic AI systems, with an option to specialise further in generative AI.
- MLOps and AI engineering: Gain experience in taking AI systems toward operational use through AI Engineering and Machine Learning Operations.
- AI security and cyber defence: Study AI for cyber defence, with options in security operations and threat hunting.
- Data analysis and forecasting: Develop quantitative and research skills; options include advanced computational data-science methods and time-series analysis and forecasting.
- Applied product development: Mobile app development and the Startup and Innovation Lab can strengthen your ability to turn technical ideas into usable products or ventures.
Professional skills
- Ethical and responsible practice: Evaluate digital ethics, risk, governance, sustainability, and inclusion when developing or applying AI.
- Research and evidence evaluation: Design and critically assess research, retrieve and evaluate information, and use data appropriately.
- Communication: Present complex ideas, evidence, and technical arguments clearly for different audiences and formats.
- Teamwork and digital collaboration: Work to briefs, contribute to team projects, negotiate shared outcomes, and collaborate digitally.
- Independent problem-solving: Take responsibility for planning, implementing, and improving work using reflection and feedback.
- Entrepreneurship and leadership: Build portfolio-oriented, employment-relevant practice through innovation, service learning, and optional leadership study.
Workplace application
Regular individual and team projects support practical application throughout the programme. In the final year, the Senior Project provides substantial project experience, while the optional credited internship offers supervised, career-related workplace learning and reflection. Service-learning courses also involve real-world projects with external organisations.
Your elective choices can shape the strongest specialism: MLOps for deploying AI systems, cyber defence for security-focused roles, generative AI for AI-product work, or data science and forecasting for analytical roles.
What are the top reasons to study this subject?
- High chances of employability to roles requiring technical skills
- This is a practical and theoretical programme, so you’ll learn a wide range of knowledge and skills required for your career
Throughout the programme, you’ll have the opportunity to conduct your own senior research project, guided by our expert faculty, allowing you to dive deep into an area of your choosing. Graduates of this programme are in high demand across diverse industries, with careers in AI, Cyber Security and more.
Additionally, this degree serves as a strong foundation for further study at the Master’s level in various disciplines.
Industry-relevant curriculum
Study programming, machine learning and deep learning, agentic AI development and security, reinforcement learning, MLOps, AI engineering, cyber defence, ethics, risk, and governance.
Facilities and Tools
You will use data and information technology tools to retrieve and manipulate data, supporting programming, AI, research, and project work. E-learning platforms make it easy for tutor- and student-led discussion groups.
Sustainable and Ethical Computing
You'll have the option to take one of your courses in Sustainability, and learn about responsible AI practice, sustainable development, and environmental science.
Programme information
This programme is new and subject to validation.
Use the tabs below to learn more about this programme.
Programme Structure
What will I study on this programme?
The BA (Hons) Artificial Intelligence degree equips you with the technical expertise and analytical mindset to design intelligent systems and solve complex real-world problems. You’ll develop strong foundations in AI, computing, data, security, ethics, and innovation, while benefiting from our flexible liberal arts framework.
For students starting September 2027-28 academic year, view full programme information.
Year 1 (LEVEL 3)
Core courses
LANG 3100 Fundamentals of English for Academic Writing and Oracy
This course is designed to enable students to communicate effectively at university level. Students will be provided with input from a range of texts and audio from cross-cultural materials and practice fundamental research and writing and oracy skills. Students will become more familiar with the academic environment and its conventions through spoken and written production. With exposure to a range of academic texts, talks and digital skills, students will appreciate the role of academic integrity. The course gives students the opportunity to think, listen, talk and write with confidence and clarity, which will help them succeed in other courses.
LIBA 3101 Tools for Change
In this course, students will be introduced to a range of foundational skills to aid in their progression and success at the University and allow them to begin the process of becoming collaborative and independent learners. These skills will be introduced through investigations of social and/or environmental issues in the local area, using group work and report writing. Students will be introduced to, and use, a range of digital platforms as aids to effective communication through professional academic oral presentations and written reports using secondary sources. In addition, students will be presented with reflective writing tools through a personal development portfolio that can aid in self-improvement, particularly in an academic setting.
LIBA 3102 Fundamentals of Research and Writing
This course concentrates on developing the students’ ability to read and think critically, and to read, understand and analyse texts from a range of genres. How do you successfully negotiate a path through a sea of information and then write it up? Using essential information literacy skills to help with guided research, this course develops the ability to produce effective and appropriate academic writing across the curriculum.
COMP 3101 Fundamentals of Computing
The Foundations of Computing course offers an introduction to the core principles and concepts of computing such as computer systems, algorithms, data representation, and basic programming. Throughout the course, students will develop both theoretical knowledge and practical skills that are critical for further study for careers in computing and related fields, exploring how computers process and store information. Additionally, learners will gain hands-on experience in designing simple algorithms and writing programs using programming languages such as Python. Key ethical and societal issues surrounding the use of computing technology will also be examined, encouraging students to think critically about topics such as data privacy, security, and the impact of artificial intelligence.
MATH 3102 Fundamentals of Mathematics and Statistics
This course is designed to be a foundation in mathematics and statistics that will provide students with the necessary knowledge for courses in probability and statistics, mathematics, and data analysis. The course will cover content from solving linear, quadratic, exponential and logarithmic equations, co-ordinate geometry analysis, function analysis, sequences and series to applied topics such as measures of central tendencies and measures of spread of data calculations with outliers, representations of data, probability calculations and discrete random variables.
Plus one of the following:
BUSM 3101 Fundamentals of Business
This module introduces students to the exciting world of business. It explores what businesses are, why they exist, and how they work. Students learn about different types of businesses, from small local shops to huge global companies. The course also looks at the people involved in businesses, what they do, and the challenges they face. This module students gives students a solid foundation for further study in business and management
ARTS 3101 Fundamentals of Visual Thinking
This course provides a grounding in the practice and theory of visual thinking. Through theoretical frameworks such as semiotics, the course explores the changing role of images in society from a range of cultures and contexts: the arts, politics, science, sport, design and technology. Students will consider digital forms of observation and image making through visual analysis and will build on this understanding through photographic practice. The course examines questions concerning curating, circulating and making public the images we all produce. It asks: What are the values and truths hidden in images? How can the practice of image production advance our thinking around images? How, in the context of a range of disciplines, can we learn to read and communicate ideas visually?
HIST 3101 London Cultures
This survey of London’s history from the 17th century to the present foregrounds social and cultural history to help students engage with the metropolis as a catalyst for creativity, highlighting its evolving communities and global interconnectedness. Focusing on the lived experience of Londoners, students will examine how they shaped their city and forged new forms of expression related to identities of gender, race, social class and sexuality. Key areas of focus may include popular entertainment, from street theatre and public executions to the West End; Londoners’ responses to plague, fire and war; the formation of cultural institutions and social movements, as well as popular protests and changing social attitudes. Through personal testimonies and cultural products, such as literature, film, fashion, art, architecture, music and material culture, students will explore how we can understand both contemporary and historical London cultures.
Year 2 (LEVEL 4)
Core courses
COMP 4101 Introduction to Programming
This course provides the fundamentals of object-oriented programming. This will include usage of variables, objects, classes; assignment and control through statements, loops, functions, procedures, interaction between objects and inheritance. This course may introduce any current specialists programming topics, eg. programming for mobile applications.
SENG 4101 Software Development and Responsible AI
This course introduced students to software development including the processes and basics of programming languages such as C++. This will introduce ethical consideration that need to be embedded in practice along with requirements gathering processes and writing specifications together with an introduction to use of AI for code.
COMP 4106 Introduction to Artificial Intelligence
LIBA 4301 Academic Research and Writing
This course is designed to develop students’ critical research and writing skills to be effective in the academic and professional world. It focuses on principles of good scholarship and academic practice that will be required throughout university study and in a future professional work environment. These skills are enhanced throughout the course. Upon completion of this course, successful students will become confident in using available resources to produce well-researched writing that demonstrates critical engagement with a self-selected research topic.
Choose one Arts/Humanities course from the following:
COMM 4103 Introduction to Intercultural Communication
Reflecting strongly the University’s mission of unity in diversity, this course provides theoretical and practical understanding of the role communication plays within and between cultures to build cohesion and/or create division. It provides students with a strong sense of their own complex cultural identities before moving on to teach them the theories underlying the study of International Communication. There will be opportunities for practical applications of these theories in case studies, simulations, and project work.
ADPR 4101 Introduction to Advertising, PR and Media
This course explores fundamental concepts, principles and tools in advertising and public relations, specifically in relation to the broader media industries and the professional contexts of both disciplines. It traces the history and evolution of advertising and public relations and how they interconnect, as well as investigating the political, economic, social and cultural contexts that they operate within. In examining advertising and PR in practice, it identifies key persuasive and creative aspects and techniques used in these fields, along with the planning and skills used to produce them. It also addresses advertising and PR practices in relation to contemporary issues and developments, including criticisms of the industries’ role and a range of ethical debates.
COMM 4102 Introduction to Content Creation
This practical course introduces students to key aspects of contemporary media production through the creation of their own podcasts, short film and photographic essay. It focuses on the key skills of photography, audio and visual recording and editing using industry standard hardware and software. Students will learn and develop practical skills offering the opportunity to demonstrate creativity across a range of visual and sonic mediums. They will also be introduced to the history of visual and sonic media (alongside contemporary examples of professional work) and learn key strategies (such as media skills audits) to identify and plan practical work.
LANG 4101 Korean Language and Culture 1
This is an introductory course to Korean language and culture with an emphasis on oral communication in everyday situations and contemporary South Korean culture and society. This course introduces fundamental communication skills including the Korean alphabet and character construction, pronunciation, vocabulary, and essential speech patterns. It also explores contemporary South Korean popular culture with the aim to develop a keen awareness and broad understanding of how the Korean culture relates to the language.
Choose one Social/Behavioural Science course from the following:
PSYC 4101 Introduction to Psychology
This course introduces students to the major areas within the psychology discipline, through current empirical research and theoretical debate. Students discover how psychological research is conducted and how research findings can be applied to understanding human behaviour. Topics include scientific methodology in psychology, and key contemporary areas of research, such as biopsychology, brain functioning; sensation and perception; evolutionary theory, development, personality, memory, consciousness, stress, psychological disorders, language, learning and social psychology.
BUSM 4101 Introduction to Business Management & Marketing
This module provides a foundational understanding of how businesses operate and effectively reach their target markets. Students will explore core management principles and marketing strategies, gaining insights into how organizations create value and build profitable customer relationships.
ENTR 4101 Introduction to Entrepreneurship
This module is designed to provide students with a foundational understanding of the entrepreneur as an ‘agent of change’ within business and society. Students will develop knowledge around the role of entrepreneurs, the history of entrepreneurship, and the personal dynamics that lead people to embark upon an entrepreneurial journey. Students will be introduced to key entrepreneurial processes such as idea generation, idea evaluation, and idea execution. They will then explore different types of entrepreneurships, such as: apprenticeship, innovative entrepreneurship, corporate entrepreneurship, franchisee entrepreneurship, and social entrepreneurship. The course will conclude by looking at the role of entrepreneurial ecosystems. This module will emphasise active learning involving case studies, simulations, and practical exercises. At the end of the course, students will be better placed to decipher whether they themselves wish to embark on an entrepreneurial path.
Choose one Data/Numeracy course from the following:
MATH 4102 Mathematics of Argument and Reasoning
This course presents the mathematics of arguments and reasoning by introducing students to concepts in logic and discrete mathematics. It examines the nature of logic, propositional and deductive logic, tautologies and contradictions, algebra of sets, relations, Boolean functions, and graph theory. The topics covered will include propositional calculus, methods of deduction, and quantification theory, leading to an introduction to first order logic, proof by induction and recursive relations. Valid and invalid argument forms and their tests will be performed. Matrix algebra and determinants and their applications in solving systems of equations will be covered. Applications of these concepts to logical networks, switching circuits and network analysis will be investigated.
MATH 4101 Probability and Statistics
This course in probability and statistics includes theoretical and applied approaches which are primarily designed for business, data science, social science and psychology majors. The course coverage will include: descriptive statistics, elementary probability theory, random variables and expectations, discrete probability distributions (Binomial and Poisson distributions), continuous probability distribution (Normal distribution), sampling distributions, estimation and hypothesis testing about the mean and proportions of up to two populations, Chi-square tests, One-way ANOVA and F Distribution, linear, multiple and non-linear regression and non-parametric methods. SPSS lab sessions will be included targeting applications of statistical concepts to business, data science, social science and psychology. All practical work will be produced using SPSS statistical software.
Choose one Science course from the following:
ENVR 4103 Introduction to Environmental Science
This course covers environmental science topics such as global warming/climate change, ozone depletion, acid rain, pollution, population issues, energy issues, land and water issues, and an introduction to environmental ethics. All topics are addressed from scientific, economic, politico-sociological and ethical standpoints. An awareness and appreciation of global, local, and personal environmental problems are developed, together with the implications of possible solutions. The concept of interrelatedness is a unifying theme throughout the course. Students are encouraged to become aware of/develop an understanding of their own environmental identity.
ENVR 4101 Earth Systems Science
This course introduces the major concepts studied in Earth System Science, addressing the Earth’s origins and evolution as an active planet within the solar system. The fundamental processes and interrelationships between the atmosphere, oceans, biosphere and lithosphere are investigated to serve as a basis for understanding natural systems, particularly near or at the Earth’s surface, and the ways in which human activities impact those systems. There is mounting concern about global warming, biodiversity, energy and sustainable development, all of which if not governed poses a threat to the delicate balance of the Earth system. Thus the need to understand the Earth as an interrelated system is more so than ever before.
ENVR 4102 Ecology and Conservation
This course provides an examination of the principles of ecology and their application to conservation. Students will explore the complex relationships between organisms and their environments, including population dynamics, species interactions, ecosystems, biodiversity, and natural/anthropogenic causes of species’ decline and extinction. The course covers key topics such as habitat destruction, climate change, invasive species, and conservation strategies at local, regional, and global scales. Special emphasis is placed on understanding and addressing the threats to biodiversity and developing practical solutions for conservation. Through case studies students will gain the skills necessary to critically evaluate conservation challenges and design effective conservation strategies.
Year 3 (LEVEL 5)
Core courses
COMP 5108 Machine and Deep Learning
COMP 5106 Digital Ethics, Risk, and Governance
COMP 5109 Agentic AI Development & Security
COMP 5110 Reinforcement Learning
COMP 5301 Research Methods in Computing
Introduces students to key Data Science research methodologies and research practices. Students will learn skills, including using data science for computing, science and applied mathematics, that translate directly into a broad range of careers. This course also prepares students for their Senior Project by undertaking data science gathering, analysis and visualisation. Students are prepared to plan their Senior projects using suitable methodologies such as systems analysis and design and agile approaches. Students will also carry out an introduction to range of humanities methods (including textual analysis, interviews, surveys, focus groups, and ethnography) and students are introduced to widely used and newer modes of and approaches to research, including creative methods and participatory/reflexive approaches.
Choose one Service-Learning course from the following:
LIBA 5301 Service Learning: Global Citizenship and Migration
This course helps students make a real difference in the world. Service Learning as experiential learning combines community service with academic study. This course will apply service-learning to the theoretical, political and sociological conceptions of citizenship and their limitations. Students will work on live projects and challenges to address real-world issues and critically reflect on their role as agents in communities and as legal and social citizens. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.
LIBA 5302 Service Learning: Leadership in a Globalised World
This course helps students make a real difference in the world. Service learning as experiential learning combines community service with academic study. This course will apply service learning to global challenges and how to be a leader that creates positive change. Students will work on live projects and challenges to address real-world issues. Students will learn how to lead and work with diverse teams to make a positive impact. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.
LIBA 5303 Service Learning: Sustainability and Society
This course helps students make a real difference in the world. Service learning as experiential learning combines community service with academic study. This course will apply service learning to the theoretical, political and sociological conceptions of citizenship and their limitations. Students will work on live projects and challenges to address real-world issues and critically reflect on their role as agents in communities and as legal and social citizens. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.
LIBA 5304 Service Learning: Digital Collaboration
This course helps students make a real difference in the world. Service-Learning as experiential learning combines community service with academic study. This course will apply service-learning to the production of digital work engaging with organizations and communities outside of the university. It equips students to identify the ranges of opportunities for innovation and employment that digital skills offer. Students will work on live projects and challenges to address real-world issues and critically reflect on their role as agents in communities and as legal and social citizens. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.
Plus two Level 5 elective courses
Year 4 (LEVEL 6)
Core courses
COMP 6107 AI Engineering and Machine Learning Operations
COMP 6108 Startup and Innovation Lab
COMP 6109 AI for Cyber Defence
COMP 6110 Senior Project
This course is a student identified project. It provides the setting for students to conceptualise, research, and propose a written brief that includes the identification and the establishment of an appropriate methodology. The instructor will facilitate the process through regularly scheduled class meetings. The research will be an opportunity to independently plan and execute a project via a literature review, project management and execution and the project will need to follow a methodology explored in Data Science Research Methods in Computing.
Plus either:
COMP 6401 Internship
The Internship in Computer Science / Software Engineering is a student work placement for credit that aims to provide students with the experience of working within the IT industry. Students will develop the intellectual, professional, and personal skills that will enable them to function well in a culturally diverse working environment. All internships are supervised by faculty and last at least 6 weeks and are typically done full time Monday to Thursday/Friday. Each student will also complete a series of assessments throughout the internship, such as keeping a written journal of their experience, preparing an internship portfolio, and delivering a final presentation. These assessments have been designed to help the student reflect on the skills they are learning and the benefits gained from the internship experience, and also to help them determine if their current career goals are the correct fit for them. During the internship, the staff of the Internship Office and a faculty supervisor work closely with each student to ensure that the placement is a successful one. Students’ final grades are based on several factors including written assignments, presentation, and a report from their workplace supervisor which is taken into consideration.
Or two of the following Major Options:
COMP 6104 Security Operations and Threat Hunting
MATH 6101 Advanced Computational Methods in Data Science
This course provides a deep dive into advanced computational techniques used in data science. It is designed to equip students with a solid foundation in the computational methods necessary for processing and analysing large-scale datasets. Students will learn about high-performance computing, optimization algorithms, advanced numerical methods, and specialized techniques for data analysis, visualization, and interpretation. Emphasis will be placed on both theoretical understanding and practical implementation of computational algorithms, including parallel computing, optimization strategies, and their applications in big data analytics and complex problem-solving.
SENG 6102 Generative Artificial Intelligence
This course offers a progressive approach to generative AI (Gen AI), starting with essential machine learning and deep learning principles before delving into advanced generative models like GANs and transformer-based architectures. Students will build skills in model design, implementation, and evaluation, equipping them for applications such as image synthesis, language generation, and more. The course utilises Python and libraries like PyTorch and TensorFlow.
SENG 6103 Mobile App Development
Enterprises regularly use mobile applications for focused activities that exploit features of smart phones. This course introduces how mobile applications can be designed and developed for different operating systems using different OS development frameworks.
MATH 6103 Time Series Analysis and Forecasting
This course introduces students to the fundamentals and advanced techniques of time series analysis and forecasting. Students will learn how to model, analyze, and forecast time-dependent data using both statistical and machine learning approaches. The course will cover classical time series models such as ARIMA, exponential smoothing, and state-space models, as well as more advanced techniques including neural networks and Long Short-Term Memory (LSTM) models. The emphasis will be on practical applications in various fields, including finance, economics, and environmental sciences, using real-world datasets and computational tools like Python and R.
BUSM 6104 Leadership and People Management
This module provides a critical exploration of leadership in the context of managing people and talent within organizations. Students will develop a deep understanding of contemporary leadership theories and their application to the challenges of attracting, developing, motivating, and retaining talent in a rapidly changing world. The module emphasizes the importance of diversity and inclusion, ethical leadership, and social responsibility in creating a high-performing and sustainable workforce. Through real-life examples, case studies, and interactive discussions, students will gain the knowledge and skills necessary to lead effectively in today's complex and dynamic business environment.
And one Level 6 elective course
Teaching and Assessment
Entry Requirements
Fees, Funding and Scholarships
Are scholarships available for this programme?
Yes. Browse all scholarships.
When you apply for a degree programme at Richmond, we also review your application to see if you are eligible for any of our scholarships. Except for the Cyril Taylor Bursaries, you will not need to complete a separate application form.
Student Experience
Can I study abroad on this programme?
Yes. All undergraduate students have the option to study abroad for a semester or academic year with one of our academic partners, earning academic credit.
What can you get from studying abroad?
- Learning and experiencing new cultures
- Making friends and professional connections
Studying abroad through Richmond American University London’s partner institutions offers students an enriching educational experience that extends beyond the classroom. Immerse yourself in diverse cultures, enhancing your global awareness and cross-cultural communication skills. Additionally, studying abroad can bolster your CV, showcasing your adaptability and international perspectives to potential employers. Overall, the study abroad programme fosters personal growth, independence, and a deeper understanding of the global community.
The tuition fees and credits are part of the Richmond degree, therefore no tuition is paid to the host institution. Students must ensure a minimum GPA of 3.0 (B average) to succeed.
Richmond has partnerships all over the world, to learn more, visit our Overseas Study Partners webpage.
Careers and Graduate skills
How does the Artificial Intelligence programme at Richmond help my career?
The University offers personal development seminars, leadership opportunities and access to work experience, volunteering and internships. There is also a dedicated, personalised service for assistance with CV writing, interview preparation tips and much more.
Throughout your studies, you will have the opportunity to build links with industry experts and Richmond alumni, connecting you to a vast and influential worldwide network.
Why is Liberal Arts important for professional development?
- You’re not limited to one subject. You can take courses across areas such as business, humanities, sciences, media, technology, and data. Connect the dots between disciplines and ideas, and deepen your perspectives.
- Develop transferable career skills. Our programmes expect critical thinking, clear written and oral communication, research, problem-solving, teamwork, information literacy, ethical decision-making, and adaptability as core outcomes.
- Prepare for a changing job market. Employers increasingly value graduates who can communicate, solve unfamiliar problems, work across disciplines, and continue learning; Liberal arts graduates can adapt and move easily across sectors.
- Grow personally and socially. The approach is designed to build confidence, self-understanding, empathy, cultural awareness, and a sense of social responsibility—not just employability.
- Gain actual experience. Richmond embeds service learning into your programme, and encourages internships, community work, and study abroad, giving students practical experience and professional networks while you study.
What careers have Richmond graduates gone on to, and can apply to?
After you graduate from this programme, you could apply to roles such as:
-
- AI Engineer — develop and apply AI systems, supported by programming, machine learning, deep learning, and AI engineering study.
- Generative AI Engineer — work on generative-AI applications, particularly if you select the Generative Artificial Intelligence option.
- MLOps Engineer — help deploy, operate, and maintain machine-learning systems through the AI Engineering and Machine Learning Operations module.
- AI Consultant — advise organisations on AI adoption, supported by technical knowledge alongside ethics, risk, governance, communication, and liberal-arts study.
- AI Security Engineer — protect AI-enabled systems and apply AI in security contexts, supported by Agentic AI Development & Security and AI for Cyber Defence.
This programme can also provide a pathway into Masters level study in a variety of disciplines.
Can I do an internship on this programme?
Yes. We offer career support and advice through our Careers & Internships Office that will assist and guide you in your study choices to make sure you stand out from the crowd when you graduate. Whether you are interested in gaining work experience in London or internationally, we will be here to help you find the best possible opportunities.
Through internships you can gain business acumen, beneficial work experiences and transferable skills which will give you a competitive advantage in a fast-paced working environment.
If you’re a degree students and thinking about completing an academic internship (Summer 2026 onwards), it is required that you complete a minimum of 70 UK academic credits, and your cumulative GPA is 3.00 or higher.
UK and US dual accreditation
What are the benefits of having UK and US accreditation?
A UK and US accredited (dual‑accredited) degree gives you formal recognition in both systems, which translates into wider mobility, stronger employer confidence, and more options for further study.
Along with our location in stylish Chiswick, internships and study abroad experiences for credit, and diverse cultural communities, Richmond is a great choice for both adventurous and ambitious students.
DEGREE RECOGNITION: Your qualification is recognised and accredited in both the UK and US, including QAA/degree-awarding powers and MSCHE regional accreditation, making it widely accepted by employers and universities across the Atlantic and beyond.
CAREER MOBILITY: Dual accreditation makes it easier to apply for jobs and further study in the UK, US, Europe, and other countries that recognise either system, while helping streamline credential checks for employers and immigration authorities.
EMPLOYER CONFIDENCE: A degree with two separate academic accreditations demonstrates rigour across UK specialisation and US breadth/liberal arts traditions, signalling strong adaptability, critical thinking, and communication skills that employers value.
TRANSFER OF CREDIT: Credits and coursework transfer more easily between institutions, supporting exchanges, transfers, and combined study routes that draw on both academic systems.
Study Artificial Intelligence at Richmond
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Information Publishing and Regulation
The information on this page reflects the currently intended course structure and module details. To improve your student experience and the quality of your degree, we may review and change the material information of this course.
- Read the detailed programme specification document for this programme
- Read the regulations that govern this programme
