Digital and Technology Solutions (Data Analyst)

Program Overview

This four-year degree apprenticeship program combines academic study at Queen Mary University of London with practical work experience at PwC. Students graduate with a BSc in Data Analyst and four years of industry experience, developing essential skills and knowledge for a successful career in data analytics.

Program Outline

Degree Overview:

This innovative four-year BSc (Hons) degree apprenticeship program, developed in partnership with PwC, aims to fast-track your career in technology and business by combining academic study with practical work experience.

Program Objectives:

• Graduate with both a BSc degree and four years of relevant industry experience.
• Develop the essential skills and knowledge to become a proficient data analyst.
• Gain a deep understanding of data analysis techniques and their application within business contexts.

Year 1:

• Teaching Block: Procedural Programming, Information Systems Analysis, Introduction to Data Analysis, Professional Research Practice
• Work-based Learning: The Data Landscape

Year 3:

• Teaching Block: Big Data Processing, Ethics Regulation and Law in Advanced Digital Information Processing and Decision Making, Statistical Data Analysis, Machine Learning and Artificial Intelligence
• Work-based Learning: Final Year Project

Assessment:

Assessment methods include a combination of exams and coursework, including:

• Practical assignments for laboratory-based modules.

End Point Assessment (EPA):

Students will participate in a 12-hour EPA module per semester to prepare for the final End Point Assessment, consisting of:

• Synoptic project: Demonstrates the application of learned skills to a real-world problem.
• Project presentation: Effectively communicates project findings and insights.
• Professional discussion: Evaluates understanding of ethical and professional considerations within the field.

Teaching:

• Teaching and learning: Delivered through lectures, tutorials, lab sessions, and on-the-job training, providing approximately 3-4 hours of weekly contact time per module during the university terms.
• Dedicated support: Students receive ongoing support from Queen Mary and PwC staff throughout the program to ensure academic and professional development.

Careers:

• Graduate destinations: Graduates are expected to secure full-time data analyst positions at PwC, leveraging the expertise and experience gained throughout the program.
• Career support: Queen Mary's Careers and Enterprise service provides guidance on career paths, work experience opportunities, interview coaching, and support with applications.

Other:

• Students will have access to well-designed resources for self-directed study and specialist advisors dedicated to supporting their progress.
• Workshops and contact sessions ensure continuous engagement with Queen Mary and PwC for professional and academic development.

Admissions:

• Entry requirements: A-Level grades AAB at A-Level.
Alternatively, A-Level grades ABB including either A-Level Mathematics or Computer Science. Excludes General Studies and Critical Thinking.
• Application process: Applications are made through UCAS and involve online assessments including an interview and assessment center.

Your employer will pay your Queen Mary tuition fees.