Earn while you train to be a data analyst, and graduate with both a BSc and four years of work experience.
Data analysts are highly skilled professionals who collect, organise and study data. Day to day, they are typically involved with managing, cleansing, abstracting and aggregating data across the network infrastructure. They report their findings and make recommendations that are key to improving business performance.
This innovative degree apprenticeship has been developed in partnership with PwC and will equip you with the business, technology, interpersonal and project management skills that have been identified as vital for the technology sector.
Over the course of the 4 years, you will study the first term of each year on campus at Queen Mary, learning alongside other students.
From the second semester of each year, until the summer break, you will complete your on the job learning at PwC in London, working in one of their data teams.
You’ll spend the majority of your time working closely with PwC technology experts helping clients solve important problems.
During your 'on the job training' you'll need to be ready to use and apply your knowledge from university, but also be ready to learn completely new things, and to develop your professional and business skills.
Hear from some of PwC's current employees.
How to apply
PwC – Programme Application Process (through UCAS)
At present, PwC is our sole employer partner for this programme. All applications for the PwC partnership should be made through UCAS based on the UCAS application cycle. Click here for the UCAS course listing
After you apply
Your UCAS form will be reviewed by a member of staff. Following this review, we may also invite you to complete some online assessments which will include an online interview and to attend an Assessment Centre.
The online interview is run by PwC and can be taken at a time and place to suit you, as long as this is in sufficient time before the Assessment Centre (we’ll advise you of the deadlines). You will have the opportunity to practice questions and find out more about PwC through completing this exercise.
The Assessment Centres are held online in March.
The Assessment Centre involves a group assessment exercise and is conducted by PwC. You'll have the opportunity to ask questions and find out more about the programme.
Information Systems Analysis
Introduction to Data Analysis
Professional Research Practice
Business Organisation & Decision Making
Please note that all modules are subject to change.
Internet Protocols and Applications
Data Analysis and Data Solutions
Introduction to Data Analysis Programming
The Data Landscape
Big Data Processing
Ethics Regulation and Law in Advanced Digital Information Processing and Decision Making
Statistical Data Analysis
Machine Learning and Artificial Intelligence
Solutions Development and Quality
Semi-Structured Data and Advanced Data Modelling
Work Based – Learning
Final Year Project
The BSc Digital Technology Solutions (Data Analyst) programme combines academic study work experience with PwC in a block release delivery model.
Modules are offered in one Semester Block per academic year where students will be attending university full time, while engaging in full-time work outside this period. You will work across various Data teams at one of PwC local offices for the duration of your on the job training which is approximately 5 months of each academic year.
The work-based modules are a unique feature of the degree apprenticeship and are offered while students are working full time with PwC.
Throughout your journey, you’ll be supported by a team of dedicated staff from both the School and employer who will help you, and coach you, to develop the knowledge skills and behaviours.
You'll receive approximately three to four hours of weekly contact time per module, comprising of lectures led by academic staff and tutorials and lab sessions.
You'll have access to well-designed resources for this self-directed study, and we will pair you with a specialist advisor to support your progress throughout your apprenticeship leading to the End Point Assessment Gateway. You will attend a variety of workshops and contact sessions during every year to keep you in touch with both Queen Mary and PwC. These are designed to help you progress both professionally and academically.
Assessment typically includes a combination of examination and coursework. There are practical assignments for laboratory-based modules, and exercise sheets or written assignments for more theoretical modules.
The End Point Assessment
The End Point Assessment module is a 12-hour per semester module where students are given the necessary training on to sit their End Point Assessment reflecting on the Knowledge Skills and Behaviours (KSB’s) that should be addressed during their apprenticeship.
Over the 4 year programme, the apprentice will develop the technical competencies, knowledge and understanding, as well as the professional, interpersonal and business skills that are necessary to operate as a fully competent Digital and Technology Solution Professional.
The end-point assessment (EPA) gives the apprentice the opportunity to demonstrate that they have attained the skills, knowledge and behaviours set out in the syllabus. A learner who meets the requirements at the End Point Assessment gateway would be recommended to the End Point Assessment. The EPA contains three requirements, synoptic project, the project presentation and the professional discussion. The synoptic project sould be completed along side the modules in the final year of the studies and would be considered as part of the End Point Assessment.
The End Point Assessment is currently under review to change with the new DTSP standard. This could change the format and the expectations of the EPA from Sept 23.
You will be taught at the new London City Institute of Technology.
London City Institute of Technology
5 Hope Street
London City Island
Alternative offers may be made to applicants taking the Extended Project Qualification.
For further information please visit: qmul.ac.uk/undergraduate/entry/epq
To apply, you must be either:
We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. Please visit International Admissions for full details.
Find out more about our English language entry requirements, including the types of test we accept and the scores needed for entry to the programme.
You may also be able to meet the English language requirement for your programme by joining a summer pre-sessional programme before starting your degree.
See the UK Government apprenticeship funding rules.
Your employer will pay your Queen Mary tuition fees.
You will earn a salary whilst studying at University, and will also receive an enhanced salary whilst completing your on-the-job learning with PwC.
Visit the government apprenticeships website getingofar.gov.uk to access advice and resources for students, parents, teachers and employers.
We offer specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.
Take a look at our Student Advice Guides which cover ways to finance your degree, including:
At the end of the apprenticeship, we expect that you’ll continue your career at PwC as a graduate and beyond, using the skills, network and experience you’ve gained.
The Queen Mary careers team can offer:
Learn more about career support and development at Queen Mary.
The School of Electronic Engineering and Computer Science carries out world-class computer science research – and applies it to real-life problems. Being taught by someone who is changing the world with his or her ideas makes for exciting lectures and ensures you stay fully up to date. 91 per cent of our computer science research was rated as ‘world-leading’ or ‘internationally excellent’ (REF 2014).
We are proud of our excellent student-staff relations, and our diverse student body: around a quarter of our students are women and 47 countries are represented.
The School has an energetic student community, taking part in programming competitions and hack events.
Tel: +44 (0)20 7882 7981