Part-time, work-based undergraduate (4 years)
This course is delivered through blended learning: work-based study, online through a combination of our Learning Management System, Canvas and Cambridge Spark’s K.A.T.E.® platform, plus immersive teaching weeks and an online hackaton-style bootcamp.
Develop the skills and expertise to interrogate data, systems and methodologies to unlock insights which help address complex problems, improve organisational processes and inform decision making within your organisation. Gain a BSc (Hons) Data Science degree while you work, with fees funded by your employer and the Government.
Data Science, in particular coupled with Artificial Intelligence and Deep Learning, promises to provide the tools for enhanced technologies, business models and decision making across a large number of fields, from industrial automation, manufacturing, transport, banking, cyber security to health and social care.
You will acquire the fundamental knowledge and concepts of computer science relevant to data science, incorporating the theory, principles and operation of the underlying technologies and methodologies, which you will apply to real world problems.
The BSc (Hons) Data Science will be delivered in partnership with Cambridge Spark, a leading provider of continuous professional development training for developers and data scientists.
This cutting edge course is taught as a blend of immersive teaching weeks, online study and hackathon-style bootcamps which simulate real life environments.
20% of your learning will be classed as ‘off the job’, which means that you'll be learning during normal working hours either in your place of work or outside – but not part of your normal working duties.
As well as learning while you earn, the benefits of studying this course include:
We depend on data science, whether that’s using deep learning to train an algorithm, or helping our warehouse staff plan for peak demand. I look forward to welcoming and working with our first apprentices.
There is a recognised significant skills gap in data science based systems specialists in the industry, nationally and internationally. This is despite data scientist roles growing over 650% since 2012, with machine learning engineers, data scientists, and big data engineers ranking among the top emerging jobs*.
Employers have highlighted the importance of data science and its potential to revolutionise a number of industries, from social sciences, physics and engineering to market analysis and banking, while creating significant employment opportunities for data analysts, machine learning specialists and data specialists.
*U.S. Bureau of Labor Statistics.
The End Point Assessment is made up of three assessment areas.
The Faculty of Science & Engineering is one of the largest of the four faculties at Anglia Ruskin University. Whether you choose to study with us full-time or part-time, on campus or at a distance, there’s an option whatever your level – from a foundation degree, BSc, MSc, PhD or professional doctorate.
Whichever course you pick, you’ll gain the theory and practical skills needed to progress with confidence. Join us and you could find yourself learning in the very latest laboratories or on field trips or work placements with well-known and respected companies. You may even have the opportunity to study abroad.
Everything we do in the faculty has a singular purpose: to provide a world-class environment to create, share and advance knowledge in science, technology and engineering fields. This is key to all of our futures.
You will need:
If you don’t meet the above requirements your application will be considered on a case by case basis and may require an interview. *This is with the exception of ESFA approved Level 2 Maths and English qualifications, which are mandatory.
Course offers can only be made if approved Level 2 certificates are provided prior to the start of the course.
For further details about which qualifications meet Level 2 requirements download this document from: the gov.uk website
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