Specialized AI and Data Science pathway
Specialized AI and Data Science pathway
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Computing & Technology
BSc (Hons) Computer Science – Data Science & Artificial Intelligence (Top-Up)
BSc (Hons) Top-Up — UWE BristolCareer focusedUndergraduate Top-Up (Final Year, Level 6)
Transform data into intelligent solutions and prepare for one of the fastest-growing technology careers in the world. Awarded by UWE Bristol, UK and delivered at Greenwich University, Karachi.
1 Year (Top-Up)
Duration
120
Credit hours
4
Modules
Spring / Fall
Intake
Overview
Programme overview
This top-up programme is designed for students who have completed an HND, Associate Degree, or equivalent Level 5 qualification in Computing, Information Technology, or Information Systems.
The programme develops advanced expertise in data science, machine learning, artificial intelligence, analytics, and responsible technology practices, enabling graduates to contribute effectively to modern organizations and technology-driven industries.
Programme features
Built for employability and real-world practice
A practice-led UK honours degree designed to develop professional capability, industry awareness, and the confidence to succeed in competitive global markets.
Industry-relevant projects and datasets
Industry-relevant projects and datasets
Hands-on learning using modern tools
Hands-on learning using modern tools
Focus on ethical and responsible AI
Focus on ethical and responsible AI
Strong analytical and problem-solving development
Strong analytical and problem-solving development
Designed for computing diploma and HND graduates
Designed for computing diploma and HND graduates
Admissions
Who should apply
This is a 1-year full-time Top-Up programme designed specifically for students who have already completed FHEQ Level 5 studies.
Eligible qualifications include:
- UK HND (Higher National Diploma) in an area of Computing, Information Technology, or Information Systems
- orAn equivalent qualification such as a Higher Diploma or Associate Degree — in an area of Computing, Information Technology, or Information Systems
Students enter directly at Level 6 (the final Honours year) and complete the degree in a single year.
Applicants with qualifications in unrelated fields are not eligible for this route.
English proficiency is required.
Outcomes
Programme Learning outcomes
Apply fundamental principles in statistical inference, machine learning, text and data analytics to develop descriptive, predictive, and prescriptive models and analyses.
Evaluate and select appropriate tools, platforms, and methodologies to design and deploy robust AI or data solutions, considering technical capabilities, limitations, and real-world alignment.
Apply systematic practices and industry standards to design, develop, test, and document robust data science and/or AI solutions.
Analyse, interpret, and visualise complex datasets to uncover insights and communicate findings effectively to both technical and non-technical audiences.
Collaborate effectively, demonstrating interpersonal, communication, and leadership skills to manage data science projects from initiation to completion.
Critically evaluate ethical, professional, and societal implications of data science and AI applications and demonstrate commitment to responsible technology practices.
Engage in continuous learning and professional development to stay current with the rapidly evolving fields of data science and artificial intelligence.
Curriculum
Programme structure
Explore the modules across each year of study. Expand a year to view the full module list.
Compulsory Modules
| Module code | Module title | Credits | Type |
|---|---|---|---|
UFCEEV-30-3 | Professional and Academic Skills | 30 | Compulsory |
UFCEKP-30-3 | Data Science and AI Individual Project | 30 | Compulsory |
Optional Modules
| Module code | Module title | Credits | Type |
|---|---|---|---|
UFCE3P-30-3 | Essentials and Applications of Artificial Intelligence | 30 | Optional |
UFCE3R-30-3 | Big Data Analytics | 30 | Optional |
Careers
Career opportunities
Graduates are prepared for a wide range of professional roles across industry, consulting, entrepreneurship, and further study. Typical career paths include:
Data Scientist
AI Engineer
Machine Learning Engineer
Data Analyst
Business Intelligence Analyst
AI Consultant
Analytics Specialist
Research Associate
Data Engineer
Technology Strategist
Ready to begin?
Apply for BSc (Hons) Computer Science – Data Science & Artificial Intelligence (Top-Up) — Spring / Fall. A simple, guided online application that takes under a minute.