Your qualification fit
Sri Lankan GCE A-Levels accepted, typically AAA (A required in any specified subjects); High School Diploma not accepted for direct entry — International Foundation Programme instead.
Check my qualifications →King's College London · London
BSc Artificial Intelligence
Gives a thorough grounding in AI theory and practice, including how AI systems affect everyday life and society. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At undergraduate level, the course develops subject knowledge progressively alongside practical, analytical and transferable skills.
Check your fitMatch your level, budget, intake and preferences.
Use course matcher →Plan the full costTuition pre-filled, with GBP and indicative LKR totals.
Open budget planner →Funding informationAsk us to check current options for this intake.
Explore funding →Sri Lankan student planning
Four checks before you shortlist this course.
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
6.5 overall, 6.0 in each skill (KCL English band D)
See English options →Scholarship possibilities
No specific award is recorded yet. Ask us to check current university and regional options.
Check funding →Beyond the tuition fee
Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.
Calculate my UK budget →Free preliminary check
Could this course fit your profile?
Answer four quick questions. Nothing is submitted or stored until you choose to contact GEC.
This tool is an early planning guide, not an offer, admissions decision or visa assessment. The university decides admission after reviewing your complete application.
Programme overview
A clearer look at BSc Artificial Intelligence
Gives a thorough grounding in AI theory and practice, including how AI systems affect everyday life and society. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At undergraduate level, the course develops subject knowledge progressively alongside practical, analytical and transferable skills.
This 36-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
- Prepare, analyse and communicate insights from data.
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
Check the official curriculum.
We could not reliably extract stable course contents from the public course page. Use the official curriculum link below rather than relying on an invented or outdated list.
Continue to the university curriculum
Review the current compulsory and optional modules for your intended intake before applying.
Entry requirements
Can I apply?
- Academic
- A*A*A at A-level including A in Mathematics or Further Mathematics
- Sri Lankan qualifications
- Sri Lankan GCE A-Levels accepted, typically AAA (A required in any specified subjects); High School Diploma not accepted for direct entry — International Foundation Programme instead.
- English (IELTS)
- 6.5 overall, 6.0 in each skill (KCL English band D)
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 King's College 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 King's College London
Similar courses at other universities
Course information checked October 2026 from the official course page on kcl.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 King's College London before you apply. Global Educational Consultants is an independent consultancy.