Academic Journey
Duration: 1 year (full-time)
Assessment: Portfolio-based practical assessments culminating in a major industry-aligned computing project.
Inside the Learning Segments
The programme includes these modules:
Programming for Data Science (20 credits)
Mathematics for Data Science (20 credits)
Big Data and Cloud Computing (20 credits)
Machine Learning (20 credits)
Artificial Intelligence and Neural Networks (20 credits)
Data Visualisation (20 credits)
Advanced Computing Project (60 credits)
A 2:2 Honours degree in a numerate subject (e.g. maths, computing, science, engineering), or equivalent.
Alternatively, a 2:2 Honours degree plus 18 months of relevant computing-related work experience.
Applicants with at least 3 years of relevant data-centric work experience may be considered on a case-by-case basis.
English proficiency: IELTS 6.5 overall (minimum 6.0 in each component), if not having completed prior learning in English.
Discover Your Career Direction
This course prepares you for flourishing in roles at the intersection of technology, analytics, and business. You will graduate with both a robust technical foundation and a portfolio that highlights practical, industry-ready capabilities.
Career routes
Potential career paths upon completion include:
Data Analyst
Data Scientist
Machine Learning Engineer
AI Specialist
Business Intelligence Analyst
Data Engineer
The programme also offers pathways toward further professional development, certifications, or progression into PhD-level research in data science and AI.