BSc(Hons) Data Science and Artificial Intelligence (Top Up) *
Page last updated 17 March 2025
* subject to final UWE Bristol approval
This course is open for applications
Introduction
BSc(Hons) Data Science and Artificial Intelligence at UWE Bristol is a direct-entry final year course building on your previous computing studies and focusing on practical data science and AI skills with emphasis on ethical practice and industry-ready capabilities.
Why study this course?
AI and data science are shaping the future - and this course will help you be part of that. Develop real-world skills in AI and data science while building on your computing knowledge. You'll get hands-on experience with industry-standard tools and technologies in our high-performance computing labs and cloud-based environments.
Learn how to design and create powerful data-driven solutions while also exploring the ethical side of AI - understanding how to use technology responsibly. With a practical focus, you won't just learn the theory - you'll graduate ready to take on the challenges of a fast-moving industry with the technical know-how and problem-solving skills that employers are looking for.
Why UWE Bristol?
If you want to start a career in AI and data science, this course will give you the knowledge and experience you'll need. With access to specialist facilities like Future Space, where you can connect with businesses working in AI and digital technology, and the Maker Space, where you can try out coding, robotics, and 3D printing. If you're interested in AI's role in healthcare, the Health Tech Hub provides modern labs for developing new health technologies.
You'll be taught by experienced researchers in AI, big data, and machine learning, and have 24/7 access to computing resources and cloud-based environments. Our University Enterprise Zone also puts you in the middle of a network of start-ups, businesses, and researchers, so you'll gain useful experience and industry connections throughout your course. Study here, and you'll have access to everything you need to develop your skills.
Where can it take me?
Our graduates become data scientists, machine learning engineers, AI specialists, and data analysts. With a focus on practical skills, ethics, and professional skills, this course prepares you for roles in tech companies, research, and consultancy. You'll gain the technical expertise and analytical mindset needed to succeed in this fast-changing field.
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There's no need to visit us in person to explore our facilities and campuses. Take a personalised virtual tour and discover it all for yourself from wherever you are.
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Content
The structure and content of this new course is currently under review and subject to final UWE Bristol approval. It will be published on this page as soon as possible.
Learning and Teaching
Experience diverse teaching methods including practical workshops, studio sessions, and project-based learning.
You'll engage in hands-on implementation using industry-standard tools, participate in team-based research projects, and develop solutions for real-world problems.
Your teaching will include both individual and collaborative work, with strong focus on professional practice and ethical considerations. Your classes will combine theory with practice.
See our glossary of learning and teaching terms.
Study time
This is a full-time course and you'll attend scheduled classes while engaging in independent study and project work. You'll also be required to spend additional time on self-directed learning, applying theory to practice, and preparing for assessments.
Assessment
You'll be assessed by technical implementations, project work, presentations, and written reports. You'll be evaluated on both your technical competency and professional capabilities through practical demonstrations, project documentation, and research-based assessments.
You'll be assessed at regular stages throughout the year, with regular formative feedback to support you to develop.
Learn more about our assessments.
Features
Study facilities
You'll find everything you need for your studies on our Frenchay Campus, including PC labs for module and self-study, and access to virtual machines and cloud-based environments to build your experience of big data solutions.
You'll have 24-hour access to the UWE Bristol library, as well as access to leading resources, specialist journals and publications through our online portal.
Graduate students have a dedicated space on the main campus, with teaching rooms and informal areas. Each course has a student adviser who provides pastoral support and general advice.
You'll also benefit from the University's enterprise zone, Future Space.
Learn more about UWE Bristol's facilities and resources.
Take a personalised virtual tour of the Computer Science and Creative Technologies facilities and experience what a typical day could look like here for you.
Life
Accommodation
An excellent range of options for all of the Bristol campuses and the city centre.
Bristol
A stunning city for student living with all the qualities to make you want to stay.
Sports, societies and activities
There is more to your experience here than study. Choose to make the most of it and try new things.
Health and Wellbeing
We provide support in the way you need it.
Campus and facilities
Discover our campuses and the wealth of facilities provided for our students.
Careers
Careers / Further study
You'll graduate ready for a diverse range of roles in the growing fields of data science and artificial intelligence. Career opportunities include:
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- AI Specialist
- Business Intelligence Developer
- Business Analytics Specialist
- AI Solutions Architect.
The course focuses on practical implementation, ethical considerations, and professional skills makes graduates attractive to employers across various sectors, including technology companies, financial services, healthcare, research organisations, consultancies, retail, manufacturing, and government agencies.
Many graduates also find exciting opportunities in start-ups and innovation labs, while others choose further academic study or research roles.
The emphasis on continuous learning and professional development prepares you to adapt to this rapidly evolving field, whether working in specialised technical roles or applying data science and AI capabilities to transform traditional business functions.
Our award-winning Careers Service helps you develop your employment potential through career coaching, a vacancy service for internships, placements, jobs, global opportunities, volunteering and community activity plus support for entrepreneurial activity, and access to employer events.
Learn more about our graduate destinations.
Fees
Full time course
Part time course
Additional Costs
Supplementary fee information
Additional costs
This refers to items you may need during your studies that aren't covered by the standard tuition fee. These could be for example, materials, textbooks, travel, clothing, software or printing.
Learn more about fees and costs.
Funding
Your overall entitlement to funding is based on how long the course is that you're registered on. Standard funding is allocated based on the standard number of years that your course lasts, plus one additional year.
Entry
Typical offers
You will need to meet the following Level 2 requirements:
- GCSE: Grade C/4 in English and Mathematics, or equivalent.
In addition to the above Level 2 qualifications, you'll need to achieve the published tariff points from your Level 3 studies prior to entry. Below is an indicative list of the main qualification types. However, we will consider any Level 3 qualifications towards meeting our entry requirements.
- Contextual tariff: See our contextual offers page.
- English Language Requirement:
International and EU applicants are required to have a minimum overall IELTS (Academic) score of 6.5 with no component below 5.5 OR overall score of 6.0 with no more than one component at 5.5 (or approved equivalent*).
*The university accepts a large number of UK and International Qualifications in place of IELTS. You can find details of acceptable tests and the required grades you'll need in our English Language section. For more information, please visit our English language requirements page.
Entry requirements
In addition to the above Level 2 qualifications, applicants are required to have a Higher National Diploma (HND) or Foundation Degree in Computer Studies, Information Systems, Information Technology or equivalent, with an average of two thirds Merits in the final year.
How to apply
Read more about undergraduate applications.
Read more about international applications and key international deadline dates.
For further information
- Email:
UK applicants
Admissions@uwe.ac.uk
International/EU applicants
International@uwe.ac.uk - Telephone:
UK applicants
+44 (0)117 32 83333
International/EU applicants
+44 (0)117 32 86644