Programme Overview
Comprehensive introduction to the programme
The BSc (Hons) Computing in Artificial Intelligence (Top-Up) develops advanced skills in AI, machine learning, deep learning, data engineering, generative AI, and responsible AI practices. Students gain practical experience in designing, training, evaluating, and deploying intelligent systems while considering ethical, legal, and security issues. Through practical learning and a Final Project, students develop industry-ready skills for careers in AI, machine learning, data analytics, and intelligent systems.
Our degrees are designed for diploma and HND graduates who want to build on their skills, gain deeper expertise and achieve a recognised UK Honours degree in Computing. LSBU is the number one London modern university for graduate prospects (ranked 59th UK University, Guardian University Guide 2025; 601–800, THE World University Rankings 2026).
Programme Structure
Academic curriculum and module breakdown
Semester 1: Neural Networks and Deep Learning (20 Credits) - Compulsory
Semester 1: Data Engineering and Analytics Pipelines (20 Credits) - Compulsory
Semester 1 and 2: Final Project (40 Credits) - Compulsory
Semester 2: Professional Practice and Emerging Technologies in Computing (20 Credits) - Compulsory
Semester 2: Applied AI Systems and Responsible AI Practice (20 Credits) - Compulsory
Total Credits: 120
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
Careers: AI, machine learning, data analytics and intelligent systems.
Career pathway: HND in Computing → BSc (Hons) Computing (Top-up) → MBA.
