Course summary
Move your career forward and unlock new opportunities at work by studying for this industry-recognised, masters-level degree apprenticeship specialising in data analytics from a Russell Group university. The digital workplace is a dynamic, innovative and rapidly changing environment and while working in the sector is an exciting place to be, keeping up with the pace of change as technologies evolve is challenging but essential for businesses and employees. Our programme is designed to keep you at the forefront of your industry. Building on the foundations of your work experience, you’ll combine academic learning at degree level and on-the-job practical training to acquire the skills required by employers today and in the future. The programme will introduce you to specialist and strategic knowledge - with a strong focus on data analytics - that will enhance your understanding of key issues in business, technology, project and people management and allow you to consider these issues within the context of your workplace. Our research-informed teaching will help develop your ability to investigate business data requirements and to carry out complex tasks including: applying data selection, data curation, data quality assurance and data investigation and engineering techniques provide advice and guidance to database designers and others in using the data structures and associated data components efficiently undertake data processing to produce data sets for study perform investigations using techniques including machine learning to reveal new business opportunities present data and investigation results along with compelling business opportunities reports to senior stakeholders. By the end of the programme, you’ll be equipped to apply what you’ve learnt to your work and have the confidence to take on new challenges and responsibilities within your organisation. Learning and assessment will take place over two years in your workplace as well as on campus at Queen Mary, University of London. This apprenticeship programme is the result of an innovative partnership between Queen Mary University of London, the Institute of Coding, and employers and we are seeking accreditation by Tech Partnership Degrees, which provides industry accreditation for digital and tech higher education that meet employer-defined standards.
Modules
Please refer to our website
Assessment method
Please refer to our website
How to apply
International applicants
Please see: www.qmul.ac.uk/international-students
Entry requirements
You’ll need to have a 2:1 or above in BSc in Computer Science, Electronic Engineering or other Science discipline (e.g. Maths, Physics). Candidates with great learning potential from other related areas (such as Economics) who can demonstrate relevant experience in Statistics/Programming will be considered on an individual basis, as well as candidates with a good lower second class degree. Applicants with unrelated degrees will also be considered if there is evidence of equivalent industrial experience. In the absence of a degree qualification, evidence of prior learning will be required.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Please see: www.qmul.ac.uk/scholarships
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS