Your qualification fit
Bachelor Degree (Special or Honours) or Professional Bachelor Degree (minimum 4 years) from a recognised institution: GPA 3.5/4.0 for UK First, 3.0/4.0 for 2:1, 2.4/4.0 for 2:2
Check my qualifications →Queen Mary University of London · London
MSc Supply Chain Management
Built on three strands: supply chain and logistics practice, data science methods for handling uncertainty, and operations research for optimisation. Aimed at analytically minded graduates targeting supply chain, logistics or operations careers.
Check your fitMatch your level, budget, intake and preferences.
Use course matcher →Plan the full costTuition pre-filled, with GBP and indicative LKR totals.
Open budget planner →Funding informationThis university has scholarship information recorded.
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Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
IELTS or an alternative
6.5 overall, 6.0 in each band
See English options →Scholarship possibilities
Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Scholarship information
Potential funding at Queen Mary University of London
Global Talent and Global Excellence scholarships for international students: up to £20,000 for September 2027 undergraduates, up to £8,000 for September 2027 postgraduates, and up to £7,000 for January 2027 masters entrants.
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.Programme overview
A clearer look at MSc Supply Chain Management
Built on three strands: supply chain and logistics practice, data science methods for handling uncertainty, and operations research for optimisation. Aimed at analytically minded graduates targeting supply chain, logistics or operations careers.
This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.
Course focus
What you can expect to explore
- Data preparation, exploration and visualisation
- Statistical modelling and machine-learning methods
- Turning complex evidence into useful decisions
- Global supply networks and logistics
Skills development
Capabilities you can build
- Python or analytical programming
- Statistical reasoning
- Data visualisation
- Model evaluation and communication
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
- Applied work such as case studies, workshops, projects or problem-based tasks.
- Independent postgraduate study, critical reading and a dissertation or major project where required.
- Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?
A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
- Data scientist
- Data analyst
- Business intelligence analyst
- Machine-learning or analytics specialist
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
19 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01One Capstone project modulePublished course content
- 02Introduction to Coding with PythonPublished course content
- 03Data Science: Methods and ApplicationsPublished course content
- 04Capstone Project in Supply Chain and Logistics AnalyticsPublished course content
- 05Introduction to Supply Chain and Operations AnalysisPublished course content
- 06Environmental Analytics for Supply ChainsPublished course content
- 07Introduction to Management SciencePublished course content
- 08Supply Chain Planning and ControlPublished course content
- 09Analytical Frontiers in Supply Chain ManagementPublished course content
- 10Transportation and Logistics AnalyticsPublished course content
- 11Demand Forecasting and Pricing AnalyticsPublished course content
- 12Introduction to Mathematics and Statistics for BusinessPublished course content
- 13Project ManagementPublished course content
- 14International Business StrategyPublished course content
- 15Complex Networks and InnovationPublished course content
- 16Digital Business, Innovation and TransparencyPublished course content
- 17Graduate CentrePublished course content
- 18Association to Advance Collegiate Schools of BusinessPublished course content
- 19Research Excellence FrameworkPublished course content
Entry requirements
Can I apply?
- Academic
- 2:2 or above in any subject with satisfactory Mathematics and Statistics content. Sri Lanka: Bachelor Degree (Special or Honours) or Professional Bachelor Degree (minimum 4 years); UK 2:1 = GPA 3.0/4.0, 2:2 = GPA 2.4/4.0
- Sri Lankan qualifications
- Bachelor Degree (Special or Honours) or Professional Bachelor Degree (minimum 4 years) from a recognised institution: GPA 3.5/4.0 for UK First, 3.0/4.0 for 2:1, 2.4/4.0 for 2:2
- English (IELTS)
- 6.5 overall, 6.0 in each band
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How we help
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- We check your eligibility and documents.
- We prepare and submit your application to Queen Mary University of London.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
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Similar courses at other universities
Course information checked October 2026 from the official course page on qmul.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with Queen Mary University of London before you apply. Global Educational Consultants is an independent consultancy.