Richmond American University London

Software Engineering AI BSc (Hons)

Next Open Day: 3 October 2026 2–5pm (GMT) / 9–12am (EDT)

Use your School Leaver qualifications as transfer credits to skip Year One. Students can complete the degree in three years.

Applicants who have met the entry requirements and need up to 24 transfer credits to complete the degree will:

Choose or be allocated the number of level 4 courses to complete the credits required

Year One (Level 3)

• English for Academic Purposes
• Tools for Change
• Research and Writing

Based on your major, choose one or two from:

• Pre-Calculus
• Fundamentals of Computing
• Fundamentals of Business
• Foundations of Sociology

Choose one or two from:

• Endangered Species and Conservation
• History of London
• Foundations of Media and the Arts

Year Two (Level 4)

Core modules

• Introduction to Programming
• Computing and Systems Architecture
• Software Development and Responsible AI
• Mathematics of Argument and Reasoning
• L4 Research and Writing

Choose one course from Arts and Humanities:

• Introduction to Communication
• Introduction to Advertising, PR and Media

Choose one course from Social and Behavioral Sciences:

• Introduction to Psychology
• Modern Political Thought
• Rich World Poor World

Year Three (Level 5)

Core modules

• Intermediate Software Development with AI
• Ethical and Sustainable Computing
• Database Systems
• Human Computer Interaction
• Research Methods

Choose one course from Service Learning

• Digital Collaboration
• Leadership in a Changing World
• Environment and Society
• Global Citizenship and Migration

Choose two level 5 electives from across the curriculum, outside of your subject discipline

• List choice from L5 Elective

Year Four (Level 6)

Core modules

• Mobile App Development
• Advanced Software Development with AI
• Web Application Development
• L6 Senior Project

Choose a level 6 Internship or Choose two level 6 courses from

• Advanced Security Programming
• Machine Learning and Predictive Analytics
• Time Series Analysis and Forecasting

Choose one level 6 elective from across the curriculum, outside of your subject discipline

Graduates from our programme are ready to tackle roles in a wide array of exciting, in-demand fields:

• AI Engineer: Design, develop, and implement AI solutions that enhance automation and solve complex problems across industries.
• Software Developer: Build essential software applications, from mobile apps to complex operating systems, making technology accessible and user-friendly.
• Data Analyst: Harness data to inform strategic decision-making, helping organizations understand trends and make data-driven choices.
• Web Developer: Create and maintain websites, ensuring seamless online experiences for users while advancing your creative and technical skills.
• Cybersecurity Analyst: Protect data and infrastructure by developing systems that defend against cyber threats.
• IT Consultant: Provide expert advice on the integration of technology solutions, boosting efficiency and innovation in various sectors.

From tech giants to innovative startups, public sector roles to freelance opportunities, your career options are vast and varied. For those interested in academia or research, this degree also paves the way for advanced study at the master’s or doctoral levels.

Below is a list of where some of the BSc (Hons) Software Engineering (AI) graduates of this degree programme have gone on to work.

• Barons Court Theatre
• Boston Ballet
• Christies
• Vogue Magazine Graduate School
• V&A Museum

• Liberal Arts Approach: Our curriculum fosters adaptability, critical thinking, and independent problem solving, empowering you to approach challenges with diverse perspectives and cross-disciplinary insights.
• Hands-On, Industry-Ready Skills: Through modules in programming, systems architecture, software development and responsible AI, mobile app development, human computer Interaction and Generative Artificial Intelligence, you’ll master both foundational and advanced technical skills. You’ll gain hands-on experience in our IT labs and learn with industry-standard software. You will receive guest speaker talks from successful industry experts, and engage in employment focused projects to build an impressive portfolio for interviews.
• Global Perspective and Study Abroad Options: Located in London, surrounded by a vibrant, diverse student community, you’ll have the option to study abroad in the US, Australia, Europe and South America.
• Internships that Count: Gain real-world experience through internships arranged by our strong industry contacts, which count toward your degree and enhance your employability.
• Focus on Responsible Innovation: In addition to AI and software engineering skills, you’ll learn to study green technologies and approach innovation ethically, ensuring a responsible and sustainable impact on society.

Teaching

The course load at level 3 or first year is 24 US credits, equivalent to 96 UK credits. Students will then complete 32 US credits, equivalent to 128 UK credits per academic year.

Approximately 12 hours per week are in class attendance, and 4 hours are guided learning. The guided learning component could include discussion boards, guest lectures, field trips, asynchronous learning, or similar activities.

Teaching mainly takes place in small classes. Our seminar-style teaching, characterised by interactive discussions and active participation, gives the students an opportunity to engage deeply with the material and their peers. The intimate setting allows for personalised attention from professors, enhancing comprehension and retention. Guest lectures enrich the experience by providing diverse perspectives and reinforcing knowledge through practical applications such as quizzes, discussions and debates. This approach supports academic success and cultivates critical thinking and communication skills, preparing students for future challenges.

Assessment

The balance of assessment by examination, practical assessment and assessment by coursework will vary for each programme and will also depend on the optional electives you choose each year and may be subject to change. The assessment methods can involve term papers, portfolios of work, quizzes, mid-semester and final exams, student presentations and general class discussion. Not every component applies to every course, but most do relate to many of the classes that are offered. Many of our courses involve a site visit or require attendance at a public lecture as well.