* subject to final UWE Bristol approval
This course is open for applications
Page last updated 26 September 2024
Our industry-focused, practical BSc(Hons) Data Science degree will give you in-demand skills crucial in this growing field. Benefit from expert lecturers, strong industry links and a professional practice strand throughout your learning.
Combining expertise in data analytics, machine learning and artificial intelligence, data scientists play a crucial role in modern business, where data-driven decision making is increasingly essential.
Using statistical models to forecast trends and recommend actions, they help organisations unlock valuable insights that can drive competitive advantage and operational efficiency.
This rapidly growing field is predicted to account for at least a quarter of all digital jobs soon. The UK government has identified specialist data science as a significant skills gap, so graduates are in high demand.
On our practical, industry-relevant BSc(Hons) Data Science degree, you’ll learn from a team of experts who are active in research and are leading the data science landscape. Benefit from their expertise and authority in the field, as well as their professional connections within the renowned tech hub of Bristol.
Through their strong industry links, you’ll have the chance to analyse case studies and real-world examples from employers. You’ll also engage with live projects from real clients thanks to the professional strand that runs throughout the course.
Our data science course is accessible to those from diverse backgrounds. Even if you didn’t take A Level Maths, your first year will get you up to speed and give you a strong foundation in statistics.
Focused on employability, the course will prepare you for specific career routes as a data analyst, data scientist or data engineer. You’ll graduate with the professional skills to work in a diverse range of organisations, due to the demand of insight and behavioural data in today’s working world.
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.
This data science course is taught through a mix of theory and hands-on practice, with both individual and group learning activities. The groupwork element will build your transferable skills and enable you to collaborate remotely, as you would in the real world.
Studying the role of a data scientist, you'll become familiar with areas including ethical practice, research methods, data gathering and exploratory data analysis. You’ll also learn to use open-source programming languages popular with employers, such as R and Python.
Develop your skills in statistical inference, modelling and analysis, machine learning and predictive analytics. By applying these skills to case studies and live projects from industry employers, you’ll learn how data science can improve business.
You'll have access to extracurricular opportunities such as team competitions, data hackathons and paid projects for external clients through our enterprise studio network, The Foundry.
See our full glossary of learning and teaching terms.
You’ll complete 150 hours of study for each 15-credit module, which will comprise of 36 hours of contact time.
For each 30-credit module you complete, you’ll complete 300 learning hours, of which 72 hours are contact time.
As a rough guide, you’ll engage in 12 hours of contact time per week over two 12-week semesters per year.
Your assessments are designed to give you the professional skills needed for various data science roles in the workplace, from data analysis to building machine learning models.
You’ll be assessed through a wide range of methods, such as practical coursework, data reports, presentations and exams.
Learn more about assessments at UWE Bristol.
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.
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.
An excellent range of options for all of the Bristol campuses and the city centre.
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Discover our campuses and the wealth of facilities provided for our students.
Our hands-on BSc(Hons) Data Science degree is open to a diverse pool of applicants from a range of backgrounds. In your first year, you'll gain foundational knowledge in statistics to prepare for the course, so even without A Level Maths, you’ll get up to speed quickly.
From day one, your learning will be employability-focused, preparing you for graduate roles in data science. Plus, your modules will emphasise ethics in data science to ensure you can approach data processing with an ethical perspective, giving you a competitive edge.
Throughout this course, you’ll engage in a professional practice strand designed to develop your practice-ready skills, enabling you to apply them in real-world professional settings. This strand is structured to progressively challenge your knowledge through case studies and live projects with industrial clients as you advance through each year of the course.
You’ll also have the option to undertake a sandwich placement in your third year, allowing you to complete a year-long professional placement. This opportunity will enable you to apply your skills in a workplace setting, gain industrial experience and get insight into the industry before you graduate.
Gain the analytical, statistical, programming and teamwork skills to make you highly employable and in demand by employers. By the time you graduate, you’ll be ready to pursue your chosen career route as a data analyst, data scientist, or data engineer.
By studying in the tech hub of Bristol, you’ll be surrounded by big companies in need of data science experts, presenting potential employment opportunities after graduation.
Our award-winning careers service will develop your employment potential through career coaching and find you graduate jobs, placements and global opportunities.
We can also help find local volunteering and community opportunities, provide support for entrepreneurial activity, and get you access to employer events.
Visit our employability pages to learn more about careers, employers and what our students are doing six months after graduating.
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.
You'll apply for funding each year that you study and Student Finance will take into account how long the course is in each year that you apply.
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.
International and EU applicants are required to have a minimum overall IELTS (Academic) score of 6.0 with 5.5 in each component (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 will need in our English Language section. Please visit our English language requirements page.
For country specific entry requirements please find your country on the country information pages.
If you're an international student and do not meet the academic requirements to study this course, you can qualify by completing preparatory study at our International College.
If you're applying to study at UWE Bristol and require additional support to meet our English language requirements, you may be able to attend one of our pre-sessional English courses.
Read more about our pre-sessional English Programme.
Read more about entry requirements.
Read more about undergraduate applications.
Read more about international applications and key international deadline dates.