This Applied Data Science Degree Apprenticeship is an innovative and flexible way to study for degree whilst remaining in employment. The degree course is available to employees only. Teaching is delivered one day per week at Grŵp Llandrillo Menai for the first two years, and at Bangor University for the final year.
This Applied Data Science Degree Apprenticeship has been developed in conjunction with industry to make sure that the curriculum is relevant to the requirements of the IT Sector and workforce development. It covers the full breadth of Data Science, combining traditional academic teaching with work-based learning.
The applied data science route concerns the management and analysis of ‘data’. It concentrates on a range of programming and analysis tools that can be used to assist businesses in processing data.
Typical study topics include programming with Python mathematics for computing, an introduction to computer systems, management of data in databases using SQL, how data is analysed and the tools used in the process of analysis.
Supporting skills are also developed such as a range of underpinning mathematical skills needed to analyse data and the ethics and legal requirements in gathering data. In the final year you will cover topics such as machine learning, advanced data management, information visualisation, security and undertake two projects, one in Artificial Intelligence, the other in Visualisation.
Completion of the first two years of the Applied Data Science Degree Apprenticeship offers the opportunity of being awarded an FdSc degree as an exit qualification, which itself is accredited under the Higher Apprenticeship Framework through Tech Partnership, the Sector Skills Council for IT.
If you are looking for a University course that it relevant to the IT sector and can be completed whilst you work, then the BSc in Applied Data Science is an ideal option. The degree programme benefits you by furthering your knowledge and career opportunities, whilst also furthering the success of your employer.