Your qualification fit
4-year route: A-levels CCC/96 UCAS points or international equivalent; A-levels around BBC–BBB can count as first-year credit for the 3-year fast-track route
Check my qualifications →Richmond American University London · London
BSc (Hons) Software Engineering and AI
Combines software engineering with artificial intelligence within a UK/US dual degree structure. Starts September 2027; three-year fast-track possible with suitable qualifications.
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Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
IELTS or an alternative
6.0 overall, 5.5 in each component
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Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Scholarship information
Potential funding at Richmond American University London
International undergraduates can receive a £2,500-per-year fee reduction (e.g. Sri Lankan A-levels ABB, or IELTS 6.0 in all elements); international postgraduates can receive 10–15% fee reductions based on GPA (3.3/3.7 or equivalent) or early deposit.
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.Programme overview
A clearer look at BSc (Hons) Software Engineering and AI
Combines software engineering with artificial intelligence within a UK/US dual degree structure. Starts September 2027; three-year fast-track possible with suitable qualifications.
This 48-month undergraduate route concentrates on machine learning and intelligent systems, data, algorithms and model evaluation, responsible ai and real-world implementation. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.
Course focus
What you can expect to explore
- Machine learning and intelligent systems
- Data, algorithms and model evaluation
- Responsible AI and real-world implementation
- Software design and maintainable development
Skills development
Capabilities you can build
- Algorithmic problem-solving
- Model development and testing
- Programming with data
- Responsible technology evaluation
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
- Practical, laboratory, studio, simulation or supervised activities where appropriate to the discipline.
- Independent study and progressively more complex assignments or projects.
- Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?
A strong fit for students with a strong interest in computation who want to design, evaluate and apply intelligent systems responsibly. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
- AI or machine-learning specialist
- Data scientist
- Intelligent-systems developer
- AI solutions consultant
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
30 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01Fundamentals of English for Academic Writing and OracyModule LANG3100
- 02Tools for ChangeModule LIBA3101
- 03Fundamentals of Research and WritingModule LIBA3102
- 04Fundamentals of ComputingModule COMP3101
- 05Fundamentals of Mathematics and StatisticsModule MATH3102
- 06Fundamentals of BusinessModule BUSM3101
- 07Fundamentals of Visual ThinkingModule ARTS3101
- 08London CulturesModule HIST3101
- 09Introduction to ProgrammingModule COMP4101
- 10Systems ArchitectureModule COMP4103
- 11Software Development and Responsible AIModule SENG4101
- 12Academic Research and WritingModule LIBA4301
- 13Intermediate Software Development with AIModule SENG5101
- 14Ethical and Sustainable ComputingModule COMP5103
- 15Database SystemsModule DATA5103
- 16Human Computer InteractionModule COMP5104
- 17Research Methods in Data ScienceModule COMP5301
- 18Service Learning: Digital CollaborationModule LIBA5304
- 19Service Learning: Sustainability and SocietyModule LIBA5303
- 20Service Learning: Leadership in a Globalised WorldModule LIBA5302
- 21Service Learning: Global Citizenship and MigrationModule LIBA5301
- 22Generative Artificial IntelligenceModule SENG6102
- 23Advanced Software Development with AIModule SENG6101
- 24Mobile App DevelopmentModule SENG6103
- 25Senior ProjectModule COMP6110
- 26Leadership and People ManagementModule BUSM6104
- 27Web Application DevelopmentModule COMP6103
- 28Advanced Computational Methods in Data ScienceModule MATH6101
- 29Time Series Analysis and ForecastingModule MATH6103
- 30Machine Learning and Predictive AnalyticsModule MATH6102
Entry requirements
Can I apply?
- Academic
- 4-year route: A-levels CCC/96 UCAS points or international equivalent; A-levels around BBC–BBB can count as first-year credit for the 3-year fast-track route
- Sri Lankan qualifications
- We’ll check your qualifications against this course for you.
- English (IELTS)
- 6.0 overall, 5.5 in each component
Not sure you qualify? Send us your results — we’ll tell you honestly, free.
How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to Richmond American University London.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.
More Data Science & AI courses at Richmond American University London
- MSc Artificial IntelligenceMaster's · 1 year · £19,000/yr
- BSc (Hons) Business and Data AnalyticsUndergraduate · 4 years · £17,500/yr
Similar courses at other universities
Course information checked October 2026 from the official course page on richmond.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with Richmond American University London before you apply. Global Educational Consultants is an independent consultancy.