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85% of students drop out or transfer from this specific course. Consider asking why on an open day.
BSc Business Computing and Data Analytics
About this course
Business computing and data analytics addresses the growing demand for professionals who can work fluently at the intersection of information technology and business decision-making. Data has become one of the most valuable resources that organisations manage, and the ability to collect, process, analyse and visualise it in ways that inform strategy, improve operations and create competitive advantage is now a core business capability. This programme combines the technical skills of computing and data science with the contextual understanding of how data is used in business environments. At Middlesex University, this part-time programme includes a foundation year, a sandwich year and a work placement, giving you thorough preparatory grounding and substantial professional experience within the degree. The foundation year builds the technical and analytical foundations needed for degree-level computing and data work, while the main programme develops your expertise in database management, programming, data analytics, business intelligence, machine learning, data visualisation and the software tools that professionals in data-driven industries use. The sandwich year and placement place you inside a real organisation, giving you the chance to apply your skills and build professional experience and contacts in the IT and data sector. Graduates of business computing and data analytics programmes find employment as data analysts, business intelligence analysts, database administrators, software developers, IT project managers and data scientists across virtually every sector, as organisations of all kinds invest in their data capabilities. The combination of technical computing skills and business context is particularly valued by employers who need people who can translate data into decision-relevant insights. Further study at master's level in data science, business analytics, computer science or information systems is available for those who want to specialise further or move into senior technical or management roles.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 15 respondents (89% response rate)
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