Programme Overview
Comprehensive introduction to the programme
This programme focuses on machine learning, predictive analytics, big data technologies, data mining, and artificial intelligence. Students learn how to extract insights from data and develop intelligent systems that support business decision-making and innovation.
Founded in 1905, Goldsmiths, University of London is a globally respected institution known for teaching, research, creativity, and innovation. Delivered at BCAS Campus, this top-up degree lets Sri Lankan students complete a premier UK degree without leaving the country.
Why choose Goldsmiths? Research-led teaching that combines research-informed teaching, practical learning and project-based activities; interdisciplinary thinking at the intersection of computing, arts and social science; industry partnerships with leading employers across Sri Lanka's growing tech industry; and strong student support including academic skills support and wellbeing services.
How to apply: choose your programme; confirm you hold an HND or equivalent Level 5 qualification in a relevant computing discipline; submit academic transcripts, a personal statement and English language evidence if required (references may also be requested); the admissions team will assess your application and contact you with a conditional or unconditional offer.
Programme Structure
Academic curriculum and module breakdown
Artificial Intelligence and Machine Learning (15 Credits) - Core
Big Data Analytics and Visualisation (15 Credits) - Optional
Secure Software Design & DevOps (15 Credits) - Optional
Advanced Web Application Engineering (15 Credits) - Optional
Applied Data Science and Predictive Analytics (15 Credits) - Core
Data Mining and Data Warehousing (15 Credits) - Optional
Emerging Technologies and Enterprise Digital Systems (15 Credits) - Optional
Final Project (45 Credits) - Core
Total Credits: 120. Students should complete 120 credits through core modules and selected optional modules.
Entry Requirements
Academic prerequisites and admission criteria
A UK Level 5 equivalent qualification in a relevant subject area.
What’s Next for You
Academic pathways and career progression
AI Engineer • Data Scientist • Machine Learning Engineer • Data Analyst • AI Research Scientist • Computer Vision Engineer • Generative AI Specialist
Career pathway: HND in Computing → BSc (Hons) Computer Science (Top-up) → Masters.
