This Masters in Logistics Data Analytics and Supply Chain Management combines supply chain theory with practical data analytics to prepare students for data-driven roles in logistics and operations. It suits graduates and professionals who want to apply quantitative analysis, modelling and data visualisation to optimise supply chains across manufacturing, retail, distribution and third‑party logistics.
The programme blends core supply chain and logistics subjects with hands-on data analytics modules. Teaching typically covers supply chain strategy and design, operations and inventory management, procurement and sourcing, transport and distribution, and the management of logistics networks. Data-focused modules introduce statistical analysis, data visualisation, database handling, and applied predictive analytics and machine learning techniques tailored to supply chain problems.
Teaching methods typically include lectures, seminars, hands-on labs using real or simulated logistics datasets, case studies, group projects and guest lectures from industry practitioners. Assessment is commonly a mix of coursework, practical data projects, group work and a final dissertation or applied industry project that demonstrates integration of analytics with supply chain practice.
Applicants usually need a relevant undergraduate degree, commonly a UK second-class honours degree (2:2) or equivalent in a subject such as logistics, supply chain management, business, engineering, computing, mathematics or a related discipline. Candidates with substantial professional experience in logistics, procurement, operations or data-related roles may also be considered.
Applicants whose first language is not English must meet the University of Bradford's English language requirements. You may be asked to provide academic transcripts, a CV, a personal statement and references as part of the application. Specific entry criteria are confirmed by the University and can vary by applicant background.
Graduates are prepared for data-informed roles across private, public and third‑party logistics sectors. Typical job titles include:
Graduates also move into data-focused roles such as data scientist or business intelligence developer within sectors that rely heavily on logistics — including retail, manufacturing, fast-moving consumer goods, e-commerce and third‑party logistics providers. The combination of domain knowledge and analytics skills increases employability for roles that require translating data insights into operational improvements.
The University of Bradford offers a strong applied focus with teaching that reflects contemporary logistics practice and analytics techniques. The institution has established links with regional and national logistics employers, providing opportunities for industry projects, guest speakers and networking. Practical facilities and computing resources support hands-on data work, while career and enterprise services help students prepare for professional roles through CV support, interview coaching and employer engagement.
Studying in Bradford places you close to a busy logistics and distribution region, which can be advantageous for project work and work placements. The programme is designed to equip graduates with both the supply chain understanding and the technical analytics skills that employers increasingly demand.
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