Key information
- Duration:
- 27 months plus End Point Assessment (EPA)
- Start date:
- September 2025
On this apprenticeship, you’ll develop advanced skills and knowledge to develop your career as a data scientist in industrial science, technology, engineering, banking and computing.
There’s a focus on practical problem-solving and real-life applications. You will:
- work with large, real-life data sets
- develop your coding skills using Python
- design, manage and program databases
- explore advances techniques in machine learning
- gain mathematics knowledge, such as statistics and probability.
Teaching methods鈥痺ill鈥痠nclude online study through our study portal,鈥痑s well as learning on campus at Sussex. As an apprentice,鈥痽ou’ll鈥痓e registered as a 日韩无码 student and have access to our:
This course is mapped to the IfATE-standard degree apprenticeship. As an apprentice, you’ll spend 20% of your paid working hours in protected learning time, ensuring minimal disruption.
We are part of the which focuses on providing flexible and affordable higher-level education and training in engineering and manufacturing, digital technologies, construction, planning and the built environment, and sustainable technologies.
This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail and content may change as we develop this new course. The validation process will be finished before your course starts.
How to apply
Employer
If you want to offer an apprenticeship for an existing employee or a new recruit, contact us at apprenticeships@sussex.ac.uk
Apprentice
We work with employers to identify the right employees to sign up to our apprenticeship programmes. If this in an area that interests you and you are already in employment, ask your employer to contact us at apprenticeships@sussex.ac.uk
We understand that deciding where and what to study is a very important decision. We鈥檒l make all reasonable efforts to provide you with the courses, services and facilities described in this prospectus. However, if we need to make material changes, for example due to government, professional body or regulatory requirements, or unanticipated staff changes, we鈥檒l let you know as soon as possible.